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We are looking for a detail-oriented freelancer to help us standardize large volumes of healthcare facility data and build a structured, easy-to-use database.


The data includes fields such as facility name, address, PIN code, city, state, and operational status (open/closed), among others such as brand and model names of machine.


Scope of Work

Standardize data formats across multiple datasets.
Create a structured database with consistent columns and formatting.
Set up dropdowns, data validation, formulas, and other features to ensure consistent data entry.
Configure fields based on predefined rules. For example, certain fields may need to be populated only when a facility is marked as open.
Suggest improvements to make the database more efficient, user-friendly, and scalable.
Requirements


Strong proficiency in Excel or Google Sheets.
Experience with data cleaning, database structuring, formulas, dropdowns, and workflow automation.
Ability to work with large datasets and recommend practical solutions.
Note: This role does not involve independently verifying healthcare facility information. The focus is on data organization, standardization, formatting, and building an efficient system for managing the data we provide.

Please share relevant experience, your proposed approach, and an estimated timeline.

We are looking for an experienced data researcher to build a comprehensive Excel database of churches and religious organisations of all denominations throughout Victoria, Australia.

We require the following information for each organisation:

1. Church / Religious Organisation Details

Church or organisation name

Denomination or religious affiliation

Full street address, suburb and postcode

Main contact phone number

General email address

Website

2. Church Leadership

Senior Minister, Pastor, Priest or Church Leader's name

Direct business email address

Published business phone number

3. Administration & Management

Church Administrator or Office Manager's name

Business Manager's name

Accounts or Finance Manager's name

Professional email addresses and published business phone numbers for each contact

4. Additional Contacts (where available)

Youth Pastor or Youth Group Leader

Events, Camps or Retreat Coordinator

Other relevant decision-makers

Requirements:

The database must cover metropolitan Melbourne and regional Victoria, including all Christian denominations and other religious organisations.

All information must be researched from legitimate, publicly available sources, verified where possible and entered into a well-organised Excel spreadsheet.

Please include a source website for each organisation and avoid duplicate entries. Do not invent missing contact details.

Our goal is to create the most comprehensive and accurate database possible of Victorian religious organisations and their key leadership, administration and accounts contacts.

Please advise your experience, estimated number of organisations you can research, completion timeframe and project quote.

Sales Operations & Business Development Specialist | HubSpot, n8n & AI

Company: Online shipping and software company based in the USA
Schedule: Full-time, 40 hours per week, primarily during U.S. Eastern Time business hours
Compensation: Hourly rate plus monthly performance bonuses tied to qualified appointments booked by our cold-calling team

About the Role

We are an online shipping and software company based in the USA, helping businesses reduce shipping costs and simplify shipping operations through discounted carrier programs, shipping technology, and ongoing support.

We’re looking for a technically skilled, proactive Sales Operations & Business Development Specialist to help our outbound sales team generate more qualified appointments and move opportunities toward closing.

Our team currently includes two full-time cold callers and two outside sales representatives. You will manage the systems, lead data, automations, and follow-up processes that help them succeed.

This is a hands-on role for someone who understands both sales operations and technology. You should be comfortable managing HubSpot, improving n8n workflows, researching decision-makers, and applying AI tools to real business needs. We have a developer supporting automation projects; you will help operate, refine, and expand what we build together.

Your primary goal: Help our cold callers book more qualified meetings with decision-makers at target companies while keeping the broader sales process organized and moving forward.

Responsibilities

HubSpot, Lead Management & Research

Manage HubSpot daily to keep lead records accurate, organized, and ready for outreach.

Maintain a steady supply of qualified leads and ensure callers receive assignments on time.

Take ownership of our in-progress lead-scoring system, using company research and n8n automation to improve qualification and prioritization.

Find and verify decision-maker contact information using tools such as Apollo, Seamless.AI, and ZoomInfo.

Improve contact enrichment and lead assignment workflows to reduce manual work.

Cold-Calling Team Support

Ensure callers have the leads, contact information, and resources needed to work effectively.

Prepare and send email follow-ups on behalf of callers.

Help improve call scripts, objection responses, and coaching resources.

Research sales best practices and turn them into practical training materials.

Manage and improve our ChatGPT-based sales trainer.

Track appointment results and identify ways to improve lead quality and booking performance.

Sales Pipeline & Proposal Support

Monitor sales pipelines daily, keeping next steps, follow-ups, and records current.

Prepare and send prospect follow-up emails on behalf of sales representatives.

Help develop targeted cold email, LinkedIn, and other outbound outreach.

Support proposal preparation, pricing analysis, and use of our quoting tools.

Configure demo software for prospect presentations.

Coordinate with sales, support, and administrative teams on pricing requests, account setup, launch, and handoff to customer service.

Automation & AI

Operate, troubleshoot, and improve n8n workflows connected to HubSpot and other tools through APIs.

Work with our developer to define requirements, test workflows, and identify improvements.

Identify repetitive tasks and build practical processes that save time or improve sales results.

Evaluate new AI tools and recommend useful applications for our business.

Upcoming projects include:

AI-generated daily briefings for sales representatives.

Personalized prospect emails and targeted account outreach.

Meeting transcript analysis, follow-up drafts, and sales coaching feedback.

Claude or other AI agents for business development and customer service.

Occasional Freight Support

Help prepare freight/LTL quotes and bookings using our online systems.

Coordinate related requests with our internal team.

Required Skills & Experience

Hands-on experience with HubSpot, CRM database management, and outbound sales support.

Experience using n8n and working with API-connected workflows.

Strong lead research, contact enrichment, and decision-maker identification skills.

Practical experience using AI tools such as ChatGPT and Claude.

Ability to support pipeline management, follow-ups, proposals, and pricing analysis.

Strong written and spoken English, including participation in live meetings.

Strong organization: document assignments, establish priorities, maintain project plans, and provide clear status updates.

Reliable high-speed internet and availability to communicate through WhatsApp and video meetings.

Availability to work primarily during U.S. Eastern Time business hours.

Helpful additional experience: Building AI agents, developing sales training resources, and working with parcel shipping, freight, or LTL quoting systems.

What Success Looks Like

Cold callers consistently have qualified leads and accurate decision-maker information.

More qualified appointments are booked with target companies.

Prospect follow-ups happen on time and sales opportunities keep moving.

HubSpot remains accurate and useful.

Automations run reliably and reduce manual work.

New customers move smoothly from sales through launch and customer service handoff.

We need someone who takes ownership. You should spot problems, recommend solutions, and move projects forward independently—not wait for step-by-step instructions.

Please include:

A brief summary of your experience supporting an outbound sales team.

Your hands-on experience with HubSpot, LinkedIn, n8n, or any outbound automation software including an automation you built or improved.

An example of how you used AI to improve a sales or operational process.

The tools and methods you use to find and verify decision-maker contact information.

We are a growing marketing agency looking for an experienced B2B Lead Generation & Cold Email Outreach Specialist to help us build targeted prospect lists and run effective outbound campaigns.

We are looking for someone who understands quality prospecting, ICP research, decision-maker identification, contact verification, and personalized cold email outreach.

This is not a simple data-entry or bulk email job. We need someone who can research the right companies and contacts and help us reach prospects who are genuinely relevant to our services.

Responsibilities

1. B2B Lead Generation & List Building

Research and build targeted B2B prospect lists based on our ICP

Use Apollo, LinkedIn Sales Navigator, and other relevant tools

Identify the right companies and decision-makers

Find relevant titles, departments, industries, company size, location, etc.

Build clean and organized prospect lists

Research company websites and LinkedIn profiles when necessary

Identify relevant business opportunities and prospects

2. Contact Verification

For each qualified prospect, collect and verify:

First & Last Name

Job Title

Company Name

Company Website

LinkedIn Profile

Business Email

Email Verification Status

Location

Industry

Company Size

Other relevant information required for the campaign

Data accuracy is extremely important. We do not want scraped or unverified databases.

3. Cold Email Outreach

Set up and execute targeted cold email campaigns

Personalize emails based on the prospect/company

Follow campaign instructions and messaging guidelines

Manage follow-ups

Monitor replies and campaign performance

Categorize positive, negative, interested, and other responses

Maintain an organized outreach pipeline

You should understand basic cold email deliverability and avoid practices that can negatively affect domain reputation.

Tools

Experience with the following tools is preferred:

Apollo

LinkedIn Sales Navigator

Hunter

NeverBounce / ZeroBounce / MillionVerifier

Clay

Instantly

Smartlead

Google Sheets

Excel

HubSpot or other CRMs

You don't need to know every tool, but strong experience with Apollo + LinkedIn Lead Generation + cold email outreach is required.

What We Are Looking For

The ideal candidate has proven experience in:

B2B Lead Generation

LinkedIn Lead Generation

Apollo

List Building

Prospect Research

Email List Building

Contact Verification

Cold Email

Email Outreach

Lead Qualification

Data Cleaning

ICP Research

Quality

We would rather receive 200 highly relevant and verified prospects than 2,000 random contacts.

Long-Term Opportunity

This can become a long-term position for the right freelancer.

We have ongoing lead-generation and cold-email requirements and are looking for someone reliable who can consistently deliver high-quality work.

We may start with a small paid test to evaluate research quality, accuracy, and outreach skills before moving to a larger ongoing project.

To Apply

Please answer the following:

How many years of experience do you have in B2B lead generation and cold email outreach?

How do you use Apollo and LinkedIn Sales Navigator together to find qualified prospects?

Which email verification and cold-email platforms have you used?

How do you maintain a high level of email accuracy and deliverability?

Please provide a sample of a B2B prospect list you have built previously, if available.

How many verified leads can you realistically produce per day while maintaining quality?

Important — Read Before Applying

Please start your proposal with:

B2B OUTBOUND

Then briefly explain your experience with Apollo, LinkedIn Lead Generation, List Building, Contact Verification, and Cold Email Outreach.

Generic or copy-paste proposals will not be considered.

Title
Developer to build custom lead scrapers and cold outreach system

Description
We’re an Australia-based software company looking for someone to set up our outbound system once, so we can run it ourselves from then on.

This is a fixed-price project. We’re not looking for an agency or ongoing management.

The core of the role: custom lead sourcing

Our ideal customers are event organisers - venues, event businesses, schools, sports clubs and community groups across Australia. Many of them aren’t well covered by databases like Apollo. They’re spread across directories, club and school sites, venue listings and organiser websites, with no consistent format.

You’ll need to:

- Build custom scrapers for these sources using code you write
- Match and deduplicate organisers that appear across multiple sources
- Enrich leads into verified business contacts, including finding emails that standard tools miss
- Capture useful signals, such as event frequency, size and recency, so we can prioritise leads
- Make scrapers easy for us to rerun and for a developer to maintain

If your approach to sourcing starts with an Apollo export, an Apify run or a browser extension, this isn’t the right fit.

The supporting setup: standard tools

For the rest of the system, we expect standard tools, configured well:

- Sending domains, inboxes and warm-up
- Email sequencing (Instantly, Smartlead or similar)
- Email verification
- CRM (HubSpot, Attio or similar)
- Orchestration, such as Clay, if it suits your approach

Built to extend
We have other products in our portfolio. Please structure the system so we can extend it to new products and audiences ourselves later.

Compliance
Outreach must meet Australia’s Spam Act and Privacy Act requirements. Please build with platform terms and rate limits in mind.

In your proposal, please include

- An example of a scraper you’ve built from scratch, including the source, what made it difficult and the results
- Code samples or a GitHub link
- Your suggested approach, timeline and fixed price

Screening questions

- Share examples of similar work you’ve done, particularly custom scrapers you’ve built from scratch.
- Why should we be confident you’re the right person for this project?

Job Description: Lead Generation Specialist

1. Position Overview

We are seeking a detail-oriented and technically skilled Lead Generation Specialist with experience in web scraping, data extraction, data quality assurance, and outreach automation. The ideal candidate will source and verify leads, use Python scripts to extract data, manage outreach campaigns, and support sales and operations teams in improving lead generation processes.

2. Key Responsibilities

A. Lead Generation & Data Extraction

- Identify and extract potential leads from websites, directories, and other online sources.
- Use Python scripts and web scraping techniques to collect data efficiently.
- Develop, maintain, and optimize scripts to automate lead collection and data extraction.
- Research companies, decision-makers, contact information, and other prospect details.
- Use lead generation and data enrichment tools such as **Apollo, Lusha, and ContactOut** to source and verify prospect information.
- Ensure lead lists meet the targeting criteria and requirements of sales campaigns.

B. Data Cleaning & Quality Assurance

- Verify the accuracy, completeness, and relevance of extracted data.
- Clean, format, and organize datasets by removing duplicates and correcting inconsistencies.
- Perform regular data quality checks to maintain reliable lead databases.
- Document data extraction, cleaning, and validation processes.

C. Python Scripting & Technical Skills

- Write and maintain Python scripts to automate data extraction and repetitive tasks.
- Use relevant libraries and tools to scrape websites and process large datasets.
- Troubleshoot scripts and improve their speed, reliability, and efficiency.
- Work with structured data formats such as CSV, Excel, and JSON.
- Follow website terms, access restrictions, and applicable data protection requirements.

D. Outreach Campaign Management

- Monitor LinkedIn and email automation campaigns.
- Prepare, upload, and verify prospect lists for outreach campaigns.
- Monitor campaign activity and identify issues affecting data accuracy or campaign execution.
- Help maintain organized and up-to-date prospect databases.

E. Email Infrastructure Setup

- Set up domains and email accounts for outreach automation.
- Assist with email configuration, authentication, and deliverability monitoring.
- Troubleshoot technical issues related to domains, inboxes, and email automation tools.

F. Reporting & Client Communication

- Prepare and send weekly reports to clients.
- Track and report lead generation progress, data quality, and campaign performance.
- Communicate with clients through email, WhatsApp, and phone calls.
- Provide timely updates and address client questions professionally.

G. Team Collaboration

- Work with sales and operations teams to understand lead requirements and campaign objectives.
- Coordinate with relevant teams to deliver accurate, qualified, and targeted leads.
- Gather feedback from sales teams to improve lead quality and targeting.
- Identify opportunities to automate and streamline workflows.

3. Required Skills & Qualifications

- Proven experience in lead generation, web scraping, or data extraction.
- Practical knowledge of Python scripting for automated data collection.
- Experience with data cleaning, validation, deduplication, and database management.
- Familiarity with **Apollo, Lusha, ContactOut**, LinkedIn, and email automation tools.
- Knowledge of domain setup, email configuration, and email deliverability.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent attention to detail and organizational abilities.
- Strong communication skills and the ability to collaborate across teams.

4. Preferred Skills

- Experience with Python libraries such as BeautifulSoup, Requests, Selenium, or Playwright.
- Familiarity with Excel, Google Sheets, CSV files, and basic database operations.
- Experience working with large prospecting datasets and automated lead generation workflows.
- Understanding of lead qualification, prospect targeting, and outbound sales processes.

Project Description

I am looking for an experienced Microsoft Excel freelancer to help develop a professional Excel-based solution for data management, reporting, and analysis.

Scope of Work:

* Excel data cleaning and formatting
* Advanced Excel formulas and functions
* Pivot Tables and Pivot Charts
* Interactive dashboards and KPI reports
* Data analysis and automated reporting
* Conditional formatting and data validation
* VBA macros or automation, if required
* User-friendly and professional report layout

Required Skills:

* Advanced Microsoft Excel
* Pivot Tables, VLOOKUP/XLOOKUP, INDEX-MATCH
* Power Query and dashboard development
* Data visualization and reporting
* VBA and macros (an advantage)

Deliverables:

* Fully functional Excel workbook
* Automated reports and dashboards, where applicable
* Clean, structured, and easy-to-maintain solution
* Brief documentation explaining the formulas and functionality

Please include in your proposal:

1. Your relevant Excel project experience.
2. Examples or screenshots of previous dashboards.
3. Estimated delivery time.
4. Your total project cost.

I am looking for someone who can deliver quality work, communicate clearly, and complete the project within the agreed timeline.

Skills: Visual Basic, Data Processing, Excel, Visual Basic for Apps, Excel Macros, Documentation, Data Visualization, Data Analysis

List of potential properties worth reseraching more after first filters based on location price and perceived risk, reseraching and due diligence on potential liens or other issues, setting up an ideal buying price. further financial testing may be needed, i can provide the model for quick plugin.

We need a detail-oriented professional to collect, organize, and analyze data from multiple sources. The work includes gathering information, entering it into spreadsheets, and preparing clear reports for review. You should be comfortable handling structured and unstructured data, identifying patterns, and presenting findings in an easy-to-understand format. This is a part-time role for someone who can work independently, meet deadlines, and maintain high accuracy throughout the process.

We need help updating an existing database by adding missing contact information for a list of companies. The work includes researching and entering accurate details such as company name, website, phone number, and email address. You should be comfortable working carefully with existing data, verifying information, and keeping records organized. This is a part-time project for someone who can complete the task efficiently and accurately.

Looking for a full stack developer to join a team of full stack devs and help with ongoing projects.

We need help cleaning up an existing database and adding missing details to improve accuracy and completeness. The work includes reviewing current records, identifying gaps, updating incomplete entries, and ensuring data is consistent and organized. This is a part-time project for someone who can work carefully and efficiently to improve the quality of the database over the next 1 to 3 months.

We’re Quantum Scaling, a marketing agency that runs ads and content for home service businesses. We’re looking for a detail-oriented lead generation specialist to build targeted lead lists of business owners we can reach out to by email, phone, and Instagram.

This starts as a one-time project and can turn into ongoing work every month if the quality is good.

What you’ll be doing:

Finding home service businesses (landscaping, HVAC, pressure washing, pool service, roofing, cleaning, pest control, etc.) in South Florida (Palm Beach, Broward, and Miami-Dade counties)
Finding the owner or decision maker for each business, not a generic front desk contact
Verifying every email before you deliver it
Putting everything in a clean Google Sheet with no duplicates

What we need for every lead:

Business name
Owner / decision maker first and last name
Verified email (owner’s direct email preferred over info@)
Phone number (cell if possible)
Website
Instagram handle (and follower count if it’s easy to grab)
Facebook page link
City
Niche / service type
Google rating and number of reviews
Whether they’re currently running Meta ads (checked in the Facebook Ad Library)

Requirements:

Experience building B2B lead lists, ideally for local or home service businesses
Comfortable with tools like Apollo, Google Maps scraping, LinkedIn Sales Navigator, Hunter, or similar
Email verification with NeverBounce, ZeroBounce, MillionVerifier or similar (bounce rate has to stay under 5%)
Good English and fast communication
Very organized and careful about accuracy

Deliverables:

500 verified leads to start, delivered in a Google Sheet
First 50 leads due within 3 days so we can check quality before you finish the rest

Budget:
Fixed price, open to offers. Tell us your price per lead or for the full 500.

To apply, please:

Start your proposal with the word “SOUTH FLORIDA” so we know you read the post
Tell us what tools you use to find and verify emails
Send a sample of a lead list you’ve built before (with sensitive info blurred out)
Give us your price per lead and how long 500 leads would take you

we are currently implementing Business Central cloud ERP project. The data resides on Microsoft Azure cloud and has the base Business central tables along with some custom tables. All the relevant tables are exposed via APIs.

We are looking for a resource who can create Paginated PowerBI reports. We can help the developer understand the relational structure of the underlying data.

I have a collection of raw web-scraping results that contain market research data and I need someone to turn it into a reliable, analysis-ready dataset. The job is strictly data cleaning and validation: removing duplicates, standardising formats, flagging or filling missing values, and spotting any outliers that may have slipped through the scraper.

The scraped files are delivered as CSVs and include a mix of numeric fields (prices, volumes, ratings) and text fields (company names, product descriptions, country codes). You are free to use Excel, Google Sheets, Python/pandas, OpenRefine—or any other tool you are comfortable with—as long as the output meets the quality bar below.

Deliverables
• A single, fully cleaned CSV (or equivalent spreadsheet) ready for analysis
• A brief validation report summarising issues found, steps taken, and any records that still require manual review

Acceptance criteria
• No duplicate rows across the entire dataset
• Consistent formatting for dates, currencies, and categorical labels
• All mandatory fields present; missing or suspect values clearly flagged
• Spot-checked sample passes visual inspection without obvious anomalies

If you have experience tidying up large web-scraping batches and producing audit trails for your work, I’d love to hear how quickly you can turn this around and what tools you prefer to use.

Skills: Python, Data Processing, Data Entry, Excel, Web Scraping, Data Mining, Data Scraping, Data Visualization, Data Analysis, Data Management

We are a recruiting and staffing firm finishing a move from Bullhorn to Crelate. We have Bullhorn's final full database backup (SQL Server 2022, encrypted, about 1.8 GB) and need an experienced SQL Server person to restore it, extract specific data, match it to our existing records, and import it into our Crelate account.

WHAT YOU WILL DO
1. Restore the encrypted backup on your own SQL Server instance and confirm it opens.
2. Send us record counts for contacts, companies, jobs, and notes/activities.
3. Export contacts with their email addresses and phone numbers, and export contact notes with the original author and date.
4. Match Bullhorn contacts to our existing Crelate contacts (email first, then name plus company) and create import-ready files that fill only blank emails and phones, never overwrite existing data, and avoid duplicates.
5. Run a small test import of about 50 contacts into our Crelate account for us to review.
6. After we approve the test, run the full import into Crelate, then confirm record counts and spot-check the results with us.

DELIVERABLES
CSV or Excel files, a short data dictionary explaining each field, and a final summary of what was imported. Target completion is within two weeks of starting.

OUT OF SCOPE
Resumes and attachments (already in our system), and any edits or deletions to existing Crelate records outside the approved import.

DATA PRIVACY
The backup contains personal information about contacts and candidates. You will use your own equipment, so we require that you sign an NDA, keep the data only on an encrypted, password-protected computer, not share it or upload it to any cloud service or third-party tool, and permanently delete all copies when the work is done, with written confirmation. We will share the backup and credentials only after the contract and NDA are in place. For the import, you will be given a limited-access Crelate user account. Do not share the login, and do not import anything beyond the approved test until we sign off.

BUDGET
$1,000 fixed price, paid in four milestones: (1) backup restored and record counts sent, (2) exports of contacts, emails, phones, and notes, (3) match files and an approved 50-contact test import, (4) full import completed and verified.

WHO WE ARE LOOKING FOR
- Microsoft SQL Server administration experience, including restoring encrypted (certificate-based) backups
- Strong T-SQL and data cleaning skills
- Experience importing data into a CRM or applicant tracking system (Crelate preferred)
- Experience with Bullhorn data is a plus

TO APPLY
Please answer the questions below and tell us about a similar restore or migration you have completed.
1. Have you restored an encrypted SQL Server backup (certificate and private key) before? Briefly describe it.
2. Have you worked with Bullhorn or Crelate data? Which one, and what did you do?
3. How would you match Bullhorn contacts to existing CRM contacts without creating duplicates?
4. Have you imported data into a CRM or applicant tracking system before? Which one, and how did you avoid duplicates?
5. Do you work on a personally owned computer with disk encryption, and are you comfortable signing an NDA and confirming deletion of the data at the end?
6. What is your availability over the next two weeks?

Skills: Data Processing, SQL, MySQL, Database Administration, Microsoft SQL Server, Data Extraction, Data Analysis, Data Management

Overview: We have approximately 3,500 contacts in MailChimp that need cleaning and organising into a clear, structured, CRM-ready format. We want to transform our existing Mailchimp audience into a clean, well-structured database that is suitable for ongoing email marketing, member engagement and future CRM migration.. This role is about organising and structuring the data that already exists, not finding missing information.
Scope of Work
• Audit and clean the existing MailChimp list: de-duplicate, fix formatting inconsistencies, standardise entries, and flag incomplete records
• Organise contacts using existing data into clearly structured such as Full name, , job title, organisation, industry/sector, organisation type (where available), country and any existing Mailchimp tags or groupings.
• • Retain and organise any existing Mailchimp tags, groups and audience information where available, ensuring valuable segmentation is not lost during the cleanup.
• Identify and merge duplicate records where appropriate while preserving the most complete information and existing Mailchimp subscription data.
• Separate out email-only records (those with no name or other details) into their own list, so we can decide whether to follow up or delete them
• Where a record has partial data (e.g. an email plus an organisation), sort it accordingly and flag the gaps rather than researching them
• Deliver a clean, well-documented contact database (CSV or Google Sheet), together with a brief summary of the work completed, any assumptions made and recommendations for maintaining data quality going forward.
What We're Looking For
• Proven MailChimp experience (audiences, tags, segments, exports)
• Strong data-cleaning skills and high attention to detail
• Comfortable working methodically through several thousand records
• Familiarity with CRM structures is an advantage
• Clear communicator

To Apply, please respond with:
• Relevant experience with MailChimp and list cleanup/organisation
• estimated time and cost (we're open to a fixed price or hourly with a cap)
• How you'd approach separating email-only records from fuller ones
• Any questions about our data
Details
• List size: ~3,500 contacts
• Fields required: Full name, Role, Organisation, Industry, Private/Public sector, Country
• Enrichment/research of missing fields is out of scope
• Timeline: 1 month
• Budget: please quote a fixed price based on scope (we can share an anonymised sample so you can estimate accurately).

I am looking for an experienced academic editor to humanize and professionally refine an academic paper in Math,that was prepared with AI assistance.- in Total 4000 Words,

The goal is to make the writing sound natural, authentic, and genuinely human-written, while maintaining a professional academic tone.

I am looking for a skilled human editor, not an automated AI humanization tool.

Please provide your experience, pricing, and estimated delivery time

I need someone to clean up and professionally format a 20-page PDF that was created using AI. The content is already prepared, but the document needs improvements to make it look clean, consistent, and easy to read.

The main tasks include fixing font alignment, spacing, formatting, page layout, and overall readability. The final PDF should have a polished and professional appearance while also being optimized to reduce the file size without affecting the quality.

Tasks:
Clean up formatting and layout
Fix font sizes, alignment, and spacing
Improve consistency across all pages
Make the document more professional and readable
Optimize and reduce the PDF file size
Deliver a final polished PDF

Hi! I’m building an AI system for real estate agencies that helps respond to and follow up with leads from portals such as Bayut and Property Finder.

I’m looking for help finding potential agency customers in the UAE. I’d like to start with a small paid trial: research 30–50 agencies that could be a good fit and identify the relevant decision-maker at each.

For each prospect, please include the agency name, website, decision-maker’s name and role, contact details, why the agency seems like a good fit, and the source for the information. Please don’t contact prospects yet; I’d like to review the list first.

Could you share your relevant experience, how you’d approach this research, your price for the trial, and how long it would take? If you have a sample of similar work, please include it.

Seeking a Pipedrive specialist for a data hygiene project on ~2,700 contacts from a legacy import.

SCOPE
- Deduplicate people and organizations while preserving deals, notes, and activity history
- Standardize names, emails, phone numbers, and company names
- Associate contacts with the correct organizations
- Design and apply a labelling/segmentation structure
- Flag incomplete or invalid records for review (no deletions without approval)

REQUIREMENTS
- Proven Pipedrive data cleanup experience
- Full back up before any bulk changes

- You'll work remotely - alongside our team; we'll approve your cleanup plan and labelling structure before you begin, and any deletions along the way

Please include your estimated total hours in your proposal.

I need a skilled data analyst to examine a medical dataset so I can spot clear trends and patterns in treatment effectiveness. You will receive the raw files plus a data dictionary; your job is to clean, explore, statistically test, and visualise the results in a way that clinicians can act on.

Deliverables
• A transparent data-cleaning log
• Reproducible analysis script in R, Python, or SAS (your choice)
• Insightful visualisations—plots or an interactive dashboard (Tableau, Power BI, or similar)
• A concise report summarising the key patterns you uncover around how well each treatment works

Acceptance criteria
• Code runs end-to-end on the supplied data without errors
• Visuals are clearly labelled and easy to interpret
• Conclusions are supported by appropriate statistical evidence (e.g., p-values or confidence intervals)

Let me know the tools you prefer, any comparable projects you’ve completed, and your estimated timeline so we can get started.

Skills: Python, Statistics, SAS, R Programming Language, Statistical Analysis, Tableau, Data Visualization, Data Analysis

We are seeking an experienced Data Engineer or Database Specialist to clean, organize, verify, and purge dead data from a massive dataset of Million records (Phone Numbers / Email Addresses).

The core objective of this project is to turn raw, messy data into an optimized, highly accurate database by validating active contacts and completely stripping out invalid, duplicate, or dead records.

Primary Scope of Work:

1. Data Cleaning & Pre-Processing:
2. Standardize phone/email formats (e.g., country code formatting, lowercase syntax).
3. Identify and remove exact duplicates, invalid syntax, and missing/corrupted fields.
4. High-Speed API Verification:
5. Run the cleaned dataset through verification APIs (e.g., Twilio, Telnyx, ZeroBounce, or SMS gateway DLRs).
6. Utilize multi-threaded/async scripts (Asyncio, PySpark, Pandas) to maximize throughput (300–500 requests/sec) for fast execution (4–8 hour delivery target).

Database Purging & Structuring:

Separate and remove all "dead data" (inactive numbers, non-existent mailboxes, spam traps, hard bounces).
1. Segment the remaining active database into organized categories (e.g., Active, Risky/Catch-all, Network Operator).
2. Deliver structured, partitioned CSV/SQL exports (e.g., chunks of 500k rows) ready for instant CRM integration.

Requirements:

1. Deep experience in Big Data manipulation, ETL pipelines, and high-throughput REST APIs.
2. Expert proficiency in Python (Pandas, Dask, Asyncio), SQL, or Node.js.
3. Demonstrated capability handling massive files without memory crashes.

To Apply:

Briefly outline your approach to handling rate limits, deduplication, and how fast you can execute this batch script.

We are seeking an outstanding, part-time Property Bookkeeper & Financial Virtual Assistant for a long-term opportunity to manage the financial health of our real estate entities through 90 minutes of undistracted, fully focused work daily, strictly between 1:00 PM and 2:30 PM PST, Monday through Friday. In this highly efficient role, you will take full ownership of day-to-day bookkeeping—including maintaining general ledgers, account reconciliations, and finalizing monthly financial reports. Rather than advanced predictive modeling, your primary task will be building out the clean base layers of our property templates—including setting up rent rolls, rent roll summary pages, and accurately copying, pasting, and re-labeling historical P&Ls to match our master expense categories. This position requires excellent verbal and written English communication skills, a high-producing work ethic, and strong Excel/Google Sheets skills to organize data quickly and neatly. Additionally, you will provide administrative support and assist with daily property management operations during your focused daily shifts.
Important Budget Constraint (Please Read Carefully):
This is a long-term position with a firm, non-negotiable budget of $12.00 per hour. This rate is fixed and will not be reviewed or increased at 6 weeks, 6 months, or 1 year. If you require a higher rate now or expect a salary review in the near future, please do not apply. We are looking for an exceptional professional who finds $12.00/hr to be an excellent, stable long-term baseline for 7.5 hours of highly focused work per week.
To Apply:
To prove you have read this entire description and agree to the terms, please start your cover letter with the exact phrase: "I accept the $12/hr long-term fixed rate." Applications without this phrase will be automatically declined.

I have several CSV and Excel files that contain customer contact information, and I need every available detail copied into one well-structured spreadsheet. The source files already hold names, email addresses, phone numbers, mailing addresses, and any other fields that might appear, so I’d like the final sheet to reflect the complete data set—not just a subset.

Here’s what matters to me:
• Absolute accuracy when transferring each record
• Consistent formatting for emails, phone numbers, and addresses
• Removal of duplicates while preserving unique contacts
• Delivery of a tidy, filter-friendly spreadsheet in either Excel or Google Sheets (whichever you prefer)

If you use data-cleaning features in Excel or tools such as Power Query, even better; the goal is to hand me a file that I can plug directly into our CRM without further edits.

Skills: Copywriting, Data Entry, Excel, Typing, Google Sheets, Data Management

Product Data Scraping, Shopify & B2B Uploads, and Automated Competitor Price Monitoring

We are looking for an experienced freelancer to collect product data from multiple supplier websites, organise it in Excel, and upload it to our Shopify store and B2B portal.

We also need a tool that checks competitor prices daily and recommends price changes to help us offer the lowest price while maintaining our minimum profit margin.

Scope of Work:

• Extract product SKUs, names, descriptions, specifications, dimensions, variants, images, and prices from agreed source websites.
• Deliver clean, structured Excel files ready for import.
• Name product images using the SKU—for example, G30031_1.jpg and G30031_2.jpg.
• Upload products and images to Shopify and our B2B portal.
• Match products by SKU, prevent duplicates, and verify uploaded data.
• Set up daily competitor price monitoring with accurate product matching.
• Provide a daily report showing our price, competitor prices, source links, and recommended actions.
• Support approved price changes, with an option to automate updates within agreed margin limits.
• Provide documentation and a handover so our team can manage the system.

Required Experience:

• Web scraping and product data cleaning
• Shopify product imports and API integrations
• Excel and bulk product uploads
• B2B or ERP integrations
• Competitor price monitoring and automated repricing

Please Include in Your Proposal:

Examples of similar projects you have completed.

Your recommended tools and any ongoing subscription costs.

Your estimated timeline and setup cost.

How you will match competitor products accurately.

How you will prevent incorrect uploads and price changes.

Any access or information you need from our team.

Please quote separately for the initial setup and ongoing maintenance. We would like to begin with a small sample of products before proceeding with the full catalogue.

Hi! I’m looking for support with growing my business and SEO with real lead generation to fill my pipelines and grow/scale my business

I’m diving into a data-heavy project and I need an experienced Business Analyst to partner with me on the actual analysis while walking me through every step so I learn the process. The core focus is data analysis—everything from cleaning raw datasets and exploring patterns to pulling out actionable insights and packaging them in a way stakeholders can trust.

Here’s how I picture our collaboration:

• You handle the hands-on work: importing data, cleaning, modelling, visualising and interpreting results (using the tools you’re most comfortable with—Excel, SQL, Python, R, Power BI, Tableau are all fine).
• After each stage, you hop on a quick call or screen-share to explain what you did, why you chose that approach, and how to replicate it myself.
• At key milestones you deliver a brief write-up or notebook I can reuse, documenting formulas, code snippets and decision logic.

I haven’t locked down the exact analysis style or data source yet, so there’s room to decide together whether we focus on sales, customer, or operational datasets, and whether a descriptive, predictive, or prescriptive lens makes the most sense. Your ability to advise on the best path forward is as valuable to me as the actual output.

Final deliverables:
1. Cleaned dataset(s) ready for future analysis.
2. An insights report or dashboard highlighting key findings.
3. Step-by-step documentation or recorded walkthroughs explaining your methods.

If you thrive on both doing and teaching—and you can translate complex analytics into plain language—I’d love to start ASAP and iterate in short, focused milestones.

Skills: Excel, Statistics, Business Analysis, Statistical Analysis, SPSS Statistics, Data Analytics, Data Visualization, Data Analysis

# REQUEST FOR QUOTATION: CUSTOM WINDOWS POS AND STOCK-CONTROL SYSTEM

## 1. Project overview

I am looking for a developer to build a complete, custom Windows desktop application for an automotive parts business.


The application must provide a centralised system for processing sales, generating invoices and quotations, managing an automotive parts catalogue, identifying compatible parts for specific vehicles, maintaining stock quantities, importing existing business data and generating management reports.

The goal is to create a reliable, easy-to-use business application that can be used for everyday operations. This is intended to be a complete working system, not just a user interface or a basic prototype.

The system must retain information permanently in a database so that invoices, quotations, stock quantities, customers and catalogue records remain available after the application is closed or the computer is restarted.

I would like a detailed quotation for designing, developing, testing, deploying and handing over the complete application described below.

Please identify any requirements that you believe need further clarification before a final fixed-price quotation can be issued. Do not silently exclude features listed in this specification.

## 2. Platform and general requirements

- The application must be designed primarily for Microsoft Windows desktop computers.
- It must be supplied as an installable application or executable, such as a Windows installer and/or `.exe`.
- The interface must be professional, consistent, easy to navigate and suitable for everyday use by business staff.
- Common tasks such as finding a part, selecting a vehicle, adding items to an invoice and looking up previous transactions should be quick and straightforward.
- Data must be stored persistently in a properly structured database.
- The application must handle errors without losing business data or leaving invoices and stock records in an inconsistent state.
- The system must support South African rand (ZAR) pricing.
- Any VAT handling must be configurable as appropriate for the business. Please state whether VAT calculations and invoice formatting are included in your quotation.
- The application should not require an ongoing subscription or internet connection for basic local operations unless this is necessary for the proposed design. Any technical dependencies, hosting requirements, subscriptions or recurring charges must be disclosed.
- The system must be designed so that additional features can be added in future without requiring a complete rebuild.

Please specify whether the proposed application will operate on one computer or support multiple computers accessing the same database simultaneously. Include any additional costs for network or multi-user operation separately.

# 3. Point of sale and customer invoicing

The system must include a complete invoice creation and sales-processing workflow.

### 3.1 Creating invoices

The operator must be able to:

- Create a new invoice.
- Select an existing customer or enter a new customer's details.
- Support walk-in or cash customers where appropriate.
- Select a vehicle using its make, model and year.
- Add multiple parts to a single invoice.
- Enter the quantity required for each part.
- View the part description, part code, unit selling price, quantity, line total and available stock.
- Remove items or change quantities before the invoice is finalised.
- Calculate subtotals, applicable VAT, discounts where authorised and the final total.
- Save and retrieve invoice records.
- View previous invoices and their details.

### 3.2 Multiple vehicles on one invoice

A single invoice must be able to contain parts for more than one vehicle.

For example, a customer may purchase parts for a Ford vehicle and a Toyota vehicle in the same transaction.

The operator must be able to add multiple vehicles to the same invoice and associate the relevant parts with the correct vehicle. The PDF invoice must present the vehicle information clearly so that the customer and staff can identify which parts belong to which vehicle.

### 3.3 Part selection during invoicing

The operator must be able to search for parts using relevant information, including:

- Part code.
- Part description.
- Vehicle make.
- Vehicle model.
- Vehicle year.
- Available vehicle-fitment information.

If multiple parts match the selected vehicle or search criteria, the system must display all relevant results rather than automatically selecting the first result.

The operator must choose the correct part manually after reviewing the available information, including stock availability and selling price.

The system must not automatically add an ambiguous match to an invoice without the operator's selection.

### 3.4 Invoice numbering

The application must allocate permanent, sequential invoice numbers.

- Invoice numbers must be stored in the database and remain unchanged after the application is closed or restarted.
- The next invoice number must be allocated reliably, including when two users are working simultaneously if multi-user operation is supported.
- Existing invoice numbers must not be accidentally reused.
- Cancelled or voided invoices must retain an identifiable transaction record and must not cause previous invoice numbers to be reused.
- The numbering system must not rely solely on an in-memory variable that resets when the application restarts.

### 3.5 PDF generation and printing

The system must generate professional PDF invoices that can be printed or saved electronically.

The document must include, as applicable:

- Business name and configured business details.
- Invoice number.
- Invoice date.
- Customer details.
- Vehicle details for each vehicle on the invoice.
- Part codes and descriptions.
- Quantities and unit prices.
- Line totals, subtotals, discounts and applicable VAT.
- Final amount payable.
- Payment status or method if recorded by the system.

The application must support normal Windows printing through an installed printer.

### 3.6 Saving and completing an invoice

When an invoice is finalised, the invoice, its line items and its associated stock movements must be saved consistently.

The system must prevent the same invoice from deducting stock more than once because of repeated clicks, a failed save, restarting the application or reopening the invoice.

After completing an invoice, the operator should return to a clean invoice-entry screen ready for the next transaction.

Starting a new invoice must not accidentally retain the previous customer's details, vehicles or parts.

Completed invoices must remain accessible through the invoice history.

Please specify how invoice corrections, cancellations, returns and refunds will work. If formal credit notes are not included in the proposed scope, please price this functionality separately.

# 4. Quotation creation and management

A dedicated quotation system is required.

### 4.1 Creating quotations

The operator must be able to create a quotation in a similar way to creating an invoice, including selecting a customer, selecting vehicles and adding multiple parts and quantities.

Quotations must be saved to the database and available for later retrieval.

### 4.2 Quotation numbering

Quotations must have a permanent sequential numbering system using the format:

`Q00000001`

The number must be saved permanently and must not reset when the application restarts.

### 4.3 Expiry and validity

Each quotation must be valid for seven calendar days from its issue date.

The system must:

- Calculate the expiry date automatically.
- Display the issue and expiry dates.
- Identify expired quotations clearly.
- Retain expired quotations in the database for historical reference.
- Prevent expired quotations from being treated as valid without an appropriate authorised action.

### 4.4 Quotation PDFs

The system must generate professional, printable PDF quotations containing the relevant business details, customer information, vehicles, part descriptions, quantities, prices and totals.

The PDF must have a clearly visible **QUOTE** watermark so that it cannot be mistaken for a final invoice.

### 4.5 Converting quotations into invoices

An accepted quotation should be convertible into an invoice without requiring the operator to enter every item again.

The converted invoice must receive its own permanent invoice number.

Stock must not be deducted merely because a quotation is created or saved. Stock must be deducted according to the agreed invoice-completion and stock-control rules when the sale is finalised.

The system should retain the relationship between the original quotation and the resulting invoice.

# 5. Parts catalogue

The system must contain a searchable, editable parts catalogue.

### 5.1 Part information

Each part record should support the following fields where applicable:

- Unique internal database identifier.
- Part code or part number.
- Part description.
- Part category or class.
- Average cost price.
- Selling price.
- Current stock quantity.
- Quantity sold or sales history.
- Stock location, storage area or shelf code.
- Vehicle compatibility and fitment relationships.
- Any relevant additional identifiers supplied in the existing catalogue.

The system must allow authorised users to add new parts, edit existing records and review part information.

### 5.2 Pricing

The catalogue must maintain average cost and selling prices separately.

Cost prices must not be accidentally displayed or treated as selling prices.

The application should support configurable pricing or markup rules if required. The quotation should state whether automatic selling-price calculations, price updates and price overrides are included.

Any changes to prices should be saved correctly, and completed historical invoices must retain the prices used when those invoices were issued.

### 5.3 Part search

The operator must be able to search quickly by part code or description without necessarily selecting a vehicle first.

The search should support partial text and common variations in search terms where practical.

The catalogue should be searchable through the invoicing screen without forcing the operator to navigate through several unrelated screens.

Where stock is relevant to selling, the results must show the available quantity. Parts with zero available stock should not be selectable for a normal sale under the default stock rules, unless an authorised exception has explicitly been enabled.

# 6. Vehicle catalogue and part fitments

The system must maintain relationships between parts and the vehicles they fit.

### 6.1 Vehicle information

The vehicle database must support makes, models and year ranges.

Where the existing data is available, it should also support relevant additional details such as variants, engine information or other fitment identifiers.

The system must be able to maintain multiple vehicle makes and models, including the addition of new records in future.

### 6.2 Fitment relationships

A single part may fit multiple vehicle models or year ranges.

A single vehicle may have multiple possible matching parts.

The database must support these relationships without duplicating the entire part record every time a part fits another vehicle.

### 6.3 Finding the correct part

When an operator selects a vehicle, the application must return the parts associated with that vehicle according to the available fitment data.

Where more than one part matches, all relevant results must be displayed for manual selection.

Results should show enough information to help distinguish between possible parts, including part code, description, selling price and available stock.

The system must not assume that the first matching result is automatically correct.

### 6.4 Incomplete fitment information

Where fitment data is incomplete, the system should still allow parts to be found through general catalogue searches.

If vehicle-based searches cannot establish an exact match, the operator should be able to search by part code or description and inspect possible results.

Please include this functionality in the quotation or clearly identify any limitations.

# 7. Stock control and inventory

The system must provide reliable inventory management linked to sales and stock movements.

### 7.1 Stock quantities

Each part must have a current stock quantity stored in the database.

The system must update stock quantities when authorised stock receipts, adjustments and completed sales occur.

Stock quantities must remain accurate when invoices are reopened or historical transactions are viewed.

### 7.2 Stock deduction

When an invoice is finalised, the system must deduct the quantities sold from available stock.

For example, if a part has 10 units available and an invoice sells 3 units, the remaining stock quantity must become 7.

Stock deduction must occur exactly once per completed sale.

Saving a quotation, viewing an invoice or reopening a transaction must not unintentionally change stock.

### 7.3 Preventing overselling

The application must check available stock before finalising a sale.

By default, the system must prevent an operator from selling more units than are available.

If management wants to allow negative stock, backorders or authorised exceptions, this must be configurable and must follow clearly defined rules. Please state how this will be implemented.

### 7.4 Receiving stock

Authorised users must be able to increase stock when new parts are received.

The system should record the part, quantity, date, user and any relevant reference or supplier information.

A stock receipt must update the quantity correctly without overwriting unrelated part information.

### 7.5 Stock adjustments

Authorised users must be able to adjust quantities when carrying out stock counts or correcting discrepancies.

Adjustments should include a reason and create a record of the previous quantity, new quantity, date and responsible user.

Historical stock movements should be available for investigation.

### 7.6 Inventory valuation

The system must calculate the value of available inventory based on the stored cost information.

Stock reports should allow management to review quantities and estimated inventory value.

The developer must explain how average cost is calculated or updated when new stock is received, and how this affects the inventory valuation.

# 8. Database and import of existing business data

Importing the existing catalogue and associated information is an essential part of this project.

The database and importing process must support existing parts, makes, models, fitments and related information.

### 8.1 Import formats

The application should support importing available data from Excel, CSV or another existing database, depending on the source format.

Please state which formats are included in the quoted price and identify any format that would require additional work.

### 8.2 Full catalogue import

The import must handle all relevant available information, including:

- Parts and part codes.
- Descriptions and categories.
- Average cost and selling prices.
- Existing stock quantities.
- Vehicle makes and models.
- Vehicle year ranges.
- Part-to-vehicle fitments.
- Existing identifiers and relevant location or shelf information.

Where the source data contains additional useful fields, the developer should map them where practical and identify any fields that cannot be imported.

### 8.3 Data validation

The importing process must validate records and relationships before finalising the import.

It should identify problems such as:

- Missing required fields.
- Duplicate part codes or identifiers.
- Invalid stock quantities or prices.
- Vehicle fitments referring to records that do not exist.
- Inconsistent or incomplete vehicle information.
- Invalid references between related records.

The system should provide a report of records successfully imported and records requiring correction.

### 8.4 Duplicate prevention and identifier preservation

Existing identifiers must be preserved where possible.

The import process must not create unnecessary duplicate parts, makes, models or fitments.

Importing the same file a second time must not inadvertently duplicate previously imported records.

Where duplicates or conflicting records are found, the system must follow an agreed rule or flag the issue for review instead of silently overwriting data.

### 8.5 Import preview and recovery

Before a large import, the operator or administrator should be able to review the records to be imported and any detected errors.

The database must be backed up before a major import.

There must be a documented way to correct import errors and safely repeat an import without corrupting existing records.

The developer must inspect the available source data before finalising the data-migration price. Please identify whether any data cleaning or manual correction is excluded from the quotation.

# 9. Customers and transaction history

The system should maintain customer information, including relevant contact details and any other fields required for invoicing.

It should be possible to:

- Add and edit customer records.
- Select existing customers when creating invoices and quotations.
- View a customer's relevant invoice and quotation history.
- Find historical transactions using invoice or quotation number, customer information and date.
- Retrieve a previous transaction without recreating it manually.

If customer credit accounts, balances, statements or payment allocation are not included in the core quotation, please identify and price them separately.

# 10. User accounts, PINs and permissions

The application must include a secure login and user-management system.

### 10.1 User management

An administrator must be able to create, disable and manage user accounts.

The system should support appropriate user roles, such as administrator, manager and sales operator, with permissions controlling access to sensitive operations.

Examples of restricted operations include changing cost prices, editing catalogue records, adjusting stock, managing accounts and viewing certain reports.

### 10.2 PIN and password management

The system must support secure PIN or password changes, appropriate validation and safe handling of incorrect entries.

PINs and passwords must not be stored in plain text.

If a user enters an incorrect PIN or password, the login interface must allow a straightforward retry. Input fields should return to the appropriate state and focus so that the operator can correct the entry without unnecessary navigation.

The application should record significant administrative actions and stock adjustments against the responsible user.

Please specify what authentication and permission controls are included in the quotation.

# 11. Administration and management reports

The application must provide useful reporting tools for business management.

At minimum, the following reports should be included.

### 11.1 Sales reports

- Sales for a selected date range.
- Sales by invoice.
- Sales by part or part code.
- Sales by customer.
- Sales by user or operator, where applicable.
- Quantities sold.
- Sales totals and applicable tax information.
- Frequently sold parts.

### 11.2 Stock reports

- Current stock on hand.
- Parts with low stock.
- Parts with zero stock.
- Stock movements and adjustments.
- Stock received.
- Inventory value based on the configured average-cost method.
- Part-level stock history.

### 11.3 Invoice and quotation reports

- Invoice history.
- Quotation history.
- Outstanding or expired quotations, where applicable.
- Cancelled or voided transaction history.

Reports should allow users to filter by relevant criteria, particularly date ranges, and should display totals accurately.

Please specify which reports can be exported to Excel, CSV or PDF and include the cost of those exports in the quotation.

Any additional management reports should be listed and priced separately so that their scope is clear.

# 12. Backups, restoration and data protection

The system must include a reliable way to back up and restore business data.

- Authorised users must be able to create backups.
- The backup must include the data needed to restore the working system, including parts, vehicles, fitments, customers, invoices, quotations and stock records.
- Backup files must be stored in a location that can be accessed by the business.
- The restoration process must be documented and tested.
- The application must warn the user about any important consequences before a restoration that could overwrite current data.
- The system should support scheduled or automated backups if practical; please state whether this is included or separately priced.

The developer must explain where the database is stored, how it is protected and what happens if the computer fails or the application needs to be installed on another computer.

# 13. User interface and day-to-day operation

The application must be designed around the practical needs of an automotive parts business.

The main operations should be straightforward and consistent, including:

- Creating an invoice.
- Creating a quotation.
- Searching for parts.
- Selecting a vehicle.
- Reviewing compatible parts.
- Receiving stock.
- Adjusting stock.
- Managing catalogue records.
- Finding historical transactions.
- Running reports.
- Managing users and backups.

The interface must display clear validation messages and must not silently discard unsaved work.

The application must handle cancelled actions, incorrect entries and failed database operations safely.

Please include reasonable usability refinements and bug fixes discovered during the agreed testing process as part of the development quotation.

# 14. Testing and completion requirements

The system must be tested as a complete working application before handover.

At minimum, testing must cover the following scenarios:

1. Create an invoice, close the application, reopen it and verify that the invoice remains available with the same number and details.
2. Create multiple invoices and verify that permanent invoice numbers are allocated correctly.
3. Create one invoice containing multiple vehicles and confirm that the parts are associated with the correct vehicles.
4. Search for a vehicle that matches multiple parts and confirm that all relevant results appear and the operator can select the correct one.
5. Add several parts to an invoice and verify that quantities, prices and totals calculate correctly.
6. Finalise an invoice and confirm that stock is deducted exactly once.
7. Attempt to sell more units than are available and verify that the agreed stock rules are enforced.
8. Receive and adjust stock and confirm that both quantities and historical movement records are correct.
9. Create a quotation, verify its number and expiry date, and confirm that the PDF has a visible QUOTE watermark.
10. Convert a quotation to an invoice and verify that the invoice has its own number and stock is not deducted prematurely.
11. Import the existing catalogue and verify that records, identifiers, prices, quantities and fitments have been migrated correctly.
12. Repeat an import and verify that duplicate records are not created accidentally.
13. Generate the agreed reports and compare their totals with the underlying transactions.
14. Create a database backup, restore it in a test environment and verify that the data is usable.
15. Verify that user permissions prevent unauthorised operations.

The project should only be considered complete when the agreed functionality has been implemented, tested and demonstrated, and the application and required deliverables have been handed over.

A feature should not be considered completed merely because it appears in a project plan or interface. It must function as specified.

# 15. Installation, source code and handover

At the end of the project, I require the following deliverables:

- The complete working Windows application.
- A Windows installer and/or executable suitable for installation and use.
- The complete application source code.
- The database structure and any required database setup scripts.
- The configuration and instructions required to build, install and run the application.
- The import templates and instructions for importing the catalogue.
- Documentation explaining the backup and restoration procedure.
- A concise user guide covering the main business operations.
- A list of third-party libraries, software dependencies and any associated licences or recurring fees.
- Access to the source-code repository and all project files.
- A demonstration of the completed system and the agreed acceptance tests.

The quotation must state clearly who will own the custom-developed source code and intellectual property after full payment. It must also identify any third-party components or pre-existing code subject to separate licensing terms.

The application must be handed over in a condition that allows the business, or another developer authorised by the business, to maintain it in future.

# 16. Requirements for your quotation

Please provide a written quotation covering the complete project described above.

The quotation should include:

1. **Total development cost in South African rand (ZAR)**, with VAT shown separately if applicable.
2. An itemised cost breakdown for each major module, including invoicing, quotations, parts and vehicle fitments, stock control, database importing, user management, reporting, backups, testing and deployment.
3. The estimated project duration and a proposed milestone schedule.
4. The proposed technology stack, database and application architecture.
5. Your assumptions about the existing catalogue, data migration and number of computers or users supported.
6. A list of included features, exclusions and any requirements you believe are ambiguous.
7. Any costs for hosting, cloud services, licences, subscriptions, printer setup or other third-party services.
8. The cost and terms of post-delivery support, maintenance, updates and bug fixes.
9. The warranty period for defects and the process for reporting and resolving bugs.
10. Your payment schedule and the deliverables associated with each payment milestone.
11. The proposed source-code ownership and handover arrangements.
12. Any optional functionality you recommend, priced separately from the required core scope.

Please distinguish between features included in the fixed price, features that require additional payment, and features that are not supported.

If any listed requirement cannot be delivered as written, please identify it explicitly and explain the proposed alternative and associated cost.

## 17. Optional features to price separately

The following should be quoted separately if they are not already included in the main price:

- Support for multiple computers accessing a shared database at the same time.
- Supplier records, purchase orders and supplier invoice processing.
- Customer credit accounts, statements and payment allocation.
- Formal credit notes, returns and refunds.
- Integration with accounting software.
- Barcode scanner or specialised receipt-printer integration.
- Automated cloud backups or cloud-based deployment.
- Additional management reports beyond those listed above.
- Advanced audit reporting and detailed user activity logs.
- Future mobile access or integration with other business systems.

These options must not replace or reduce the functionality required in the core quotation.

## 18. Final objective

The objective is to obtain a complete, maintainable and reliable POS and stock-control system tailored to the needs of an automotive parts business.

I am looking for a transparent quotation that covers the actual work required to deliver the full application, including database migration, functional testing, installation and handover, rather than only the initial interface or basic invoicing functionality.

Please quote for the complete scope and make all assumptions, limitations, exclusions and additional costs clear before development begins.

Research emails and other small project. The same way. you work with my sister Gina.
Will need to find emails, contact information and scrub attendee lists for conferences.
Thanks.
Anne

I'm looking for about 5 or 6 new students for my company. I have my own website, https://www.tuteuraction.ca/ in Quebec, Canada. I'd be willing to pay you 50$ CAN (which is 37.00$ US) for each customer which subscribes to my services (pays for an hour) although I'm open to negotiate. I can also pay you your hourly fee provided some strong guarantee is provided past a certain investment.
Let me know what you think.
Etienne