Build a Photo-Based Bar Inventory App

1. 1

   Scope the recognition problem realistically

   A back bar is a hostile vision environment: mirrored shelves, dim light, bottles occluding each other. Start with front-row recognition of the few hundred bestselling spirit SKUs plus a fast manual-confirm flow for the ambiguous ones. A count that takes ten minutes with a little tapping still crushes the three-hour clipboard night.

2. 2

   Treat fill-level as an estimate and say so

   Estimate remaining volume in bands (full, three-quarters, half, quarter, dead) rather than pretending to the tenth of an ounce. Bands are enough for reorder decisions and variance flags, and honesty about precision keeps trust when a manager spot-checks you.

3. 3

   Pilot against the clipboard

   Run three friendly bars where staff do their normal count and your photo count in parallel for a month. Publish the accuracy and the minutes saved. This head-to-head is your entire sales deck, and the failure cases it surfaces (new SKUs, dusty bottles, weird shelving) are your roadmap.

4. 4

   Deliver the outputs managers actually use

   Reorder list by distributor, week-over-week usage by SKU, and a variance flag when pour data from the POS says the shelf should be emptier or fuller than it is. That last one quietly addresses shrinkage without accusing anyone; owners lean in fast.

5. 5

   Price for the manager's math

   A monthly fee per location comparable to a couple of hours of manager wages sells itself; multi-location groups get a portfolio dashboard. Setup is a shelf-mapping session you can do remotely from photos.

6. 6

   Expand along the supply chain

   Once you hold weekly counts across bars, distributor reps, brand analytics, and cellar or wine programs are natural expansions. Aggregate, anonymized velocity data by market is valuable to the industry; sell it only with explicit customer consent, or the trust that got you the shelves evaporates.

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