Proven work
A food manufacturing plant was logging every truck of incoming goods on paper: supplier delivery sheet, scale weight, product temperature, label details, all copied out by hand at the reception dock, often in a hurry. I built Paperwork, a goods reception tool, in one week. The operator takes four photos, of the supplier sheet, the scale, the thermometer, and the product label, and that is the entire data entry step.
Behind those four photos, Gemini 2.5 Flash reads and cross verifies the data in about six seconds: it checks the delivery sheet against the scale reading, the temperature against the cold chain requirement for that product, and the label against what was actually ordered. It catches the kind of mismatch a rushed operator misses under normal conditions, a production batch that does not match what the paperwork claims, or a cold chain reading that has quietly broken during transport.
The app works fully offline on the dock, where signal is unreliable, and syncs automatically once a connection is available, so nobody has to think about connectivity to do their job. Running the AI extraction costs under $0.15 per month in API calls, which is not a meaningful cost at any volume this plant handles.