Case studies

Case study · Restaurant commerce platform

An AI data assistant for restaurant brands

Plain-language questions about a brand's app orders, answered straight from its Snowflake data. Every figure in an answer is filled in from a query result or checked against one.

Standard question, median time: 2.4 s; Down from 4.6 s at first release
Analysis question, median time: 7.5 s; Down from 42 s at first release
Model cost of a standard question: 0.02 cents; Down from about 0.8 cents
Model cost of an analysis question, with a warm cache: 2.4 cents; Down from about 15 cents

Case study · Restaurant commerce platform

Ordering from a restaurant inside ChatGPT

In three days, a planning document became a working ChatGPT app where a guest orders from a restaurant in plain language. In testing, an AI model built 20 of 20 orders correctly and never invented a menu item.

From a planning document to a working app: 3 days
Test orders built correctly: 20 of 20; Target: 95% or more
Invented items or options: 0; Target: 0
Median tool response time: 0.46 s; Target: 2 to 5 s

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