The reality: a farm-to-table bistro and neighborhood specialty market loses 14% of fresh inventory to spoilage while struggling with foot traffic on rainy Tuesdays. Main St. AI cross-references POS history with weather and community events to auto-generate precise orders, and triggers SMS specials to regulars when seating drops below half.
Ingredient orders auto-generated from sales history, weather, and local events.
Know what your neighbors want before they walk in the door.
SMS specials fire to regulars the moment seating drops below 50%.
Real-time adjustments sized for small retail, not for a chain.
Illustrative example: not real customer results
Spoilage cut from 14% to under 3% — $31,000 a year — with off-peak revenue up 22%.
Illustrative example: not real customer results
“It knew the street fair was coming before we did, and told us what to bake for it.”
Example scenario. Names withheld.