Case study · Backend & integration
PricePivot
A grocery price tracker that turns the prices you log into a verdict — is this actually a good price, and where is it cheapest? — built on a shared price graph.
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A verdict on any product — stock up or wait — measured against its own history.
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The same item across every store, ranked by real per-unit price.
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Where your grocery money actually goes, week over week.
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Everything you track, with its price movement at a glance.
The problem
Grocery prices are noise. A number on a shelf tells you nothing about whether it's a good deal, or whether the store down the road is cheaper. Loyalty apps optimize for the store — not for you.
The approach
PricePivot turns the prices you log into signal. Each product gets a verdict — stock up now or wait — measured against its own history, plus a side-by-side of every store you've seen it at, normalized to a real per-unit price.
Under the hood, individual logs roll up into a shared price graph, so the read gets sharper as more prices come in — the piece of the app that's as much backend as interface.
What we built
A native iPhone app in Swift with a Supabase backend: per-product stock-up verdicts, cross-store comparison, spending insights, barcode scanning, and price-movement tracking — with a Pro tier for predictions, alerts, and unlimited history.
Contact
Need an app with a real backend? Let's talk.
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