How much purchase data does a recommendation engine need?

More than most small stores have. Below roughly a thousand orders the recommendations are guesses, and they are guesses displayed on the storefront where customers can see them.

What decides it

Until then, rules beat models: bought-together pairs you know from experience, a restock reminder timed to the product, the obvious accessory. Those are recommendations too and they are right more often.

The part that gets skipped

Generated product photography still reads as generated to a customer more often than the people making it believe.

A recommendation engine needs enough purchase history to have anything to recommend. Below a few thousand orders it is guessing.

The stores getting value from AI are using it to remove hours from the week, not to replace judgement.

Where an app fits

The practical consequence for a store: what an assistant can read about you decides whether it recommends you. Plain, checkable facts beat marketing copy.