Fortune AI

A warehouse or plant runs on cameras that nobody watches, so the questions that matter, where time goes and where work piles up, get answered by a consultant or not at all. Fortune AI reads the existing feeds and returns the number every shift. You describe the measure in a sentence and it builds and deploys the analysis itself.

Output per hour in US warehousing has been falling for years while unit labour cost climbs, and most operators cannot see inside their own floor well enough to say why. The footage exists. Seven days of it sits unread on cameras that were installed for security, because the only ways to turn it into a number are paying someone to watch, hiring an engineer for one or two studies a year, or commissioning a custom vision project that answers exactly one question.

Fortune AI puts an orchestrator between the operator and the cameras. Someone asks, in plain English, how long pallets sat at a given dock last week, and the engine labels, trains, deploys and then keeps watching, so the answer arrives every shift rather than once. The same engine crosses sites and industries, which is why it runs in warehousing, manufacturing and airport terminals from the same base rather than from a new project each time.