You will get a custom build AI-powered data verification and auditing dashboard
Project details
Are you overpaying vendors without knowing it?
Most businesses rely on manual price checks or gut instinct when
reviewing vendor quotes. That means missed savings, inflated costs,
and decisions made without real market data backing them up.
AdVerify Pro fixes that.
It is an AI-powered Market Auditing Engine that benchmarks your
vendor quotes against live market registries in real-time — so you
know instantly whether you are getting a fair price or being overcharged.
WHAT YOU GET
Real-Time Vendor Benchmarking
Quotes automatically checked against live market data.
No manual research. No guesswork. Just accurate, instant comparisons.
AI-Generated Negotiation Scripts
Actionable scripts you can use immediately to negotiate better rates.
Confidence Scores on Every Quote
Each quote is rated so you know exactly how much to trust it.
Interactive Dashboard
A clean Streamlit interface your team can access anywhere.
WHAT THIS MEANS FOR YOUR BUSINESS
• Stop overpaying vendors
• Procurement decisions backed by live market intelligence
• Reduce financial risk on every quote you review
• Save hours of manual price research every week
Most businesses rely on manual price checks or gut instinct when
reviewing vendor quotes. That means missed savings, inflated costs,
and decisions made without real market data backing them up.
AdVerify Pro fixes that.
It is an AI-powered Market Auditing Engine that benchmarks your
vendor quotes against live market registries in real-time — so you
know instantly whether you are getting a fair price or being overcharged.
WHAT YOU GET
Real-Time Vendor Benchmarking
Quotes automatically checked against live market data.
No manual research. No guesswork. Just accurate, instant comparisons.
AI-Generated Negotiation Scripts
Actionable scripts you can use immediately to negotiate better rates.
Confidence Scores on Every Quote
Each quote is rated so you know exactly how much to trust it.
Interactive Dashboard
A clean Streamlit interface your team can access anywhere.
WHAT THIS MEANS FOR YOUR BUSINESS
• Stop overpaying vendors
• Procurement decisions backed by live market intelligence
• Reduce financial risk on every quote you review
• Save hours of manual price research every week
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$115
|
Standard
$235
|
Advanced
$450
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 1 | 1 | 2 |
Design Customization | - | ||
Content Upload | |||
Responsive Design | |||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $100
Additional Revision
+$40
Additional Page
(+ 1 Day)
+$50
Design Customization
(+ 1 Day)
+$100Frequently asked questions
About Justine
Customer Retention & Revenue Optimization Specialist | Python & AI
Aflao, Ghana - 11:02 pm local time
I help founders identify their best customers, win back at-risk buyers, and turn messy sales data into clear actionable growth insights without needing a full data team.
Most eCommerce businesses don’t actually have a revenue problem.
They have a visibility problem.
They don’t know:
→ Which customers are driving most of their revenue
→ Which customers are about to stop buying
→ Where marketing spend is leaking
→ What their own data is really saying
That’s where I come in.
I help eCommerce founders turn messy transaction data into clear, actionable insights that drive repeat revenue, smarter marketing, and better customer retention all without needing a full data team.
WHAT I ACTUALLY DELIVER (Not Just Code)
→ Identify high-value customers and at-risk segments
→ Increase repeat revenue using behavioral segmentation
→ Build automated revenue dashboards and reporting systems
→ Clean and structure large-scale sales data so it’s ready to act on
→ Forecast short-term revenue trends to guide decision-making
→ Automate manual reporting and routine processes
→ Build AI-driven auditing and verification tools
REAL RESULTS FROM RECENT WORK
I built a Customer Win-Back Engine to handle messy transaction data (Excel, CSV, or URL) automatically cleaning, validating, and segmenting customers.
In a recent real-world dataset:
→ 525,461 raw transaction records processed
→ 407,664 clean records extracted automatically
→ Customers segmented into Champions, Big Spenders, Regulars, and At-Risk groups
→ 7-day revenue forecast generated: $264,727 based on historical trends
But this is just one example. My work goes beyond the engine. I deliver actionable insights, growth strategies, and automation systems that help founders make smarter decisions every day.
HOW I WORK
I don’t just deliver code and disappear. I deliver answers. Every system I build is designed to answer one key question:
“How does this increase revenue, reduce risk, or improve decision-making?”
I combine:
→ Data Engineering (clean, scalable, reliable pipelines)
→ Business Intelligence (insights that are easy to act on)
→ AI Automation (smart decision support)
→ Business Strategy (everything aligned to real revenue outcomes)
Your solution is never just technically correct, it’s commercially effective.
If you run an eCommerce store and want to finally understand your customers, recover lost revenue, and make data-backed decisions, let's build systems that actually move the needle, without overcomplicating your business.
Send me a message and I’ll respond within 24 hours.
Steps for completing your project
After purchasing the project, send requirements so Justine can start the project.
Delivery time starts when Justine receives requirements from you.
Justine works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering & Data Discovery
I begin by analyzing your specific data sources such as market registries, vendor quotes, or internal databases to define the core business logic. I identify key variables, assess data quality, and map out the custom audit parameters.
Python OOP Architecture & ETL Pipeline
I build a scalable backend using Object-Oriented Programming (OOP) to handle large-scale data processing.