AI at KRAVVE
KRAVVE is exploring AI across the complete protein supply chain — from predicting what customers will consume to deciding what should be procured, processed and delivered. These capabilities are being designed and evaluated. They are not presented as live production systems.
Exploring
A household describes who eats, who trains, and who needs more protein. KRAVVE eventually generates a week that matches those constraints — not a generic recipe blog.
“We're a family of four. Two adults train at the gym and two children need higher protein meals. Plan our week.”
Exploring
Tomorrow's estimated demand, expressed as kilograms to buy — so procurement is planned against predicted consumption, not yesterday's leftover ice.
| SKU | Estimated demand |
|---|---|
| Pomfret | 18 kg |
| Chicken curry cut | 31 kg |
| Prawns | 12 kg |
Figures above are an illustrative copilot output, not a live forecast from production data.
Exploring
Command-driven operations: an operator types an intent, the system segments, offers, campaigns and tracks conversion. This is the direction for an AI-command admin — designed before it is wired to money or inventory.
“Show customers who haven't ordered in 30 days and create a seafood comeback campaign.”
AI at KRAVVE follows the same rule as the rest of the stack: problem, prototype, evaluation, then production. Recommendations and copilots will not invent prices, inventory or customer facts.