Products, stock counts, and a log of changes are a well-bounded data model — genuinely one of the more straightforward operational tools to build yourself.
Build it
Effort: a weekendRunning cost: $0/mo to start
Why CanICodeThis says Build it
Products with a stock count, SKU, and category are standard CRUD
Logging every stock change (received, sold, adjusted) as a simple ledger keeps a clean audit trail
Low-stock alerts (email when a product drops below a threshold) is one transactional-email call triggered by a simple check
The parts that'll cause problems
Barcode scanning for fast stock updates needs a camera-based scanning library, a real but well-documented addition
Multi-location inventory (tracking stock across several warehouses) adds real complexity to the data model
Syncing stock counts automatically with an online store needs a real integration per sales channel
How I'd build this
frontend
Next.js
database
Supabase
auth
Supabase Auth
hosting
Vercel / Cloudflare Pages
MVP scope
Products with SKU, category, and stock count
A ledger logging every stock change
Low-stock email alerts
Simple search and filter by category
Postpone to v2
Barcode scanning for fast updates
Multi-location/warehouse tracking
Automatic sync with an online store's stock levels
What it actually costs to build
AI agent — with a subscription (Claude Pro/Max, Cursor, etc.)
$0 marginal
AI agent — pay-per-use API, no subscription
$43–$86 one-time
Hosting, once it's running
$0/mo (free tier)
Domain name, if you want your own
~$12/yr
Existing tools solving a similar problem typically run $12–$24/mo — see how they compare below.
The build prompt
Build me an inventory management tool: products with SKU, category, and stock count; a ledger logging every stock change (received, sold, adjusted) with a timestamp; and an email alert when a product's stock drops below a threshold I set. Search and filter products by category. SQLite behind a small API, single-user login. Skip barcode scanning and multi-location tracking for v1.