The startup provides a cloud‑based operating system that combines machine‑learning demand forecasting with IoT sensor telemetry to coordinate a distributed network of micro‑fulfillment hubs for fresh produce. Retailers receive near‑real‑time inventory signals and automated routing, enabling sub‑8‑hour farm‑to‑shelf delivery while reducing waste. The platform integrates with ERP and inventory systems, offering end‑to‑end visibility for grocery chains, supermarkets, and quick‑service restaurants.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional fresh‑produce distribution relies on fragmented wholesaler networks, resulting in blind spots, unpredictable transit times (often 7+ days), multiple handoffs, frequent stockouts, and high waste due to inadequate demand visibility.
Solution
The platform delivers an end‑to‑end operating system that replaces legacy wholesaler layers with a unified demand‑forecasting engine and a network of micro‑fulfillment hubs. By ingesting point‑of‑sale data and applying predictive analytics, the system generates near‑real‑time demand signals with >98% forecast accuracy. IoT telemetry from temperature, humidity, and shock sensors provides continuous product condition monitoring, enabling automated routing decisions that keep produce within optimal freshness windows. A cloud‑based command center orchestrates logistics in milliseconds, allowing retailers to achieve sub‑8‑hour farm‑to‑shelf delivery while reducing waste and improving fulfillment reliability.
Target Audience
Primary customers are grocery chains, supermarkets, and quick‑service restaurant operators that require fast, reliable fresh‑produce replenishment, as well as supply‑chain managers seeking data‑driven logistics optimization.
Features
- Predictive demand engine leveraging machine‑learning models trained on historical sales and seasonality patterns, delivering 98.4% forecast accuracy.
- Integrated IoT sensor suite (temperature, humidity, CO₂, shock) that streams real‑time telemetry to the cloud for condition‑based routing.
- Distributed micro‑hub network (140+ active nodes) that acts as localized fulfillment points, shortening last‑mile distance and enabling 8‑hour delivery windows.
- Real‑time command center dashboard with end‑to‑end visibility, sub‑second decision logic, and automated rerouting for harvest‑maturity mismatches.
- API layer compatible with retailer ERP and inventory management systems for seamless order ingestion and status updates.
- Waste‑reduction analytics that quantify spoilage avoidance and provide actionable insights for inventory optimization.
- Role‑based access controls and end‑to‑end encryption to ensure data security and compliance with food‑safety standards.
- Scalable architecture supporting 30 000+ retail outlets and high‑volume shipment bursts without performance degradation.