Case study · client build · in production

PantryPlan
AI pantry management,
built by PickBits.

An AI-driven pantry tracking app with recipe recommendations and auto-generated shopping lists. Live in production. Full case study writing in progress — placeholder published so the page is indexable while it's drafted.

Live in production   Full write-up: in progress

What PantryPlan does.

Pantry tracking with AI: take a photo of your shelf, the app catalogs what you have, surfaces recipes that fit, and auto-builds the shopping list for whatever's missing. Consumer SaaS aimed at home cooks who don't want to think about meal planning.

Coming in the full case study

The decisions behind the photo-to-pantry pipeline, the recipe-recommendation model choice, the cost-per-user math that keeps it sustainable on a consumer-app price point, and the front-end stack that ships across web + iOS.

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The challenge (TBD)

[TODO: write up the original problem — meal planning is exhausting, pantry inventory drifts, recipe apps don't know what you actually have.]

The approach (TBD)

[TODO: photo-vision pipeline, recipe model choice, shopping-list generation, the engineering tradeoffs that made it economically viable.]

The results (TBD)

[TODO: launch metrics — users, recipes served, photos processed, retention curve.]