PERSONAL PROJECT · PRODUCT Case Study
PriceWatch: AI-Shopping Assistant
Product Strategy
PRD & Scoping
AI Matching
System Architecture
Prioritization
Web Scraping
Notification Design
End-to-end Build
Role
Solo Product Owner: end-to-end scoping, PRD Writing, prioritisation & hands on build
Focus
Scoping a real life price-tracking problem into a buildable MVP backed by a documented tradeoff
Outcome
A MVP with a live demo, a documented PRD, and a decision trail from problem to build
How the work came together
Pre-Bill Charge Adjustment
A price-tracking assistant that watches Amazon and Flipkart for considered-purchase electronics and alerts you when a real price drop happens — built end to end, from PRD to backend, as a hands-on PM exercise.
Role: Solo Product Owner and builder - scoping, PRD, prioritization, documentation and implementaton
Focus: Turning a personal frustration (missing genuine price drops during sale season) into a scoped, buildable product
Outcome: A working MVP with a live demo, a documented PRD and a decision train showing how the scope was cut
The Problem
A user spends their time looking for price drops across multiple e-commerce sites with the hope of getting a discount. However, manually watching prices across retailers and sale window is tedious, and most existing tools track only MRP and do not provide a side-by-side comparision of prices across different platforms
The Goal
A tool that tracks the actual selling price over time, matches the same product across retailers and only notifies when the price genuinely changes
Scoping it as a PM would
System overview
The pipeline: a product is added via search, an AI step extracts attributes and proposes a cross-retailer match which a human confirms, a scheduled poller checks prices at a cadence tuned to sale activity, results land in a price database that separates the live trend from the one-time historical-low lookup, and genuine drops trigger push and email notifications plus an in-app alert history.
What's next
Expanding category coverage beyond electronics once matching quality is proven
Smarter burst-window detection instead of hardcoded sale dates
Full PRD available on request