ShelfWatch
lead
engineer
Overview
ShelfWatch is an AI research assistant that automates competitor price monitoring for small e-commerce sellers. Instead of manually checking competitor prices each week, ShelfWatch pulls current listing prices across your product catalog and delivers a clean, sortable spreadsheet with week-over-week price changes highlighted. Sellers get actionable pricing intelligence in one organized report, eliminating the weekly research grind.
Mission
ShelfWatch
What we're building
An AI research assistant for small e-commerce sellers that turns the weekly chore of checking competitor prices into one clean spreadsheet. The seller points ShelfWatch at their products; it pulls each competitor's current listing price and returns a tidy, sortable comparison sheet with week-over-week changes flagged — no chatbot, just a usable deliverable.
Current focus — the MVP
The first working version is a landing page that explains what ShelfWatch does, shows a sample of the competitor-price spreadsheet it produces, and lays out the per-seat monthly pricing. This is the smallest thing a prospective customer can click through and express interest in, and the hook we use to validate demand before building the full data pipeline.
Scope for now:
- Landing page: clear value prop, a sample report preview, and the pricing model (per-seat monthly).
- We frame this as intent and iterate based on what we learn.