Yimidida \China

Step 2 - Validation (Months 4-9): Expand to 50+ warehouses across pilot partners and add demand forecasting layer. Integrate historical order data (SKU, quantity, location, weather, holidays) to predict demand at the pickup-point level. Build dynamic procurement recommendations: 'Order 20% fewer tomatoes for Location A tomorrow; reroute excess from Location B.' Launch paid pilot at $20K-50K/month per partner, positioned as 'pay-for-performance' (charge 10% of documented spoilage savings). Add integrations with existing logistics systems (APIs for route planning, inventory management). Success metric: Achieve 15-20% spoilage reduction, sign 3-5 paying customers, reach $150K MRR, and document $2M+ in annual savings per customer.

Step 3 - Growth (Months 10-18): Productize the platform for self-service onboarding. Build plug-and-play integrations with major logistics providers (Lalamove, Grab, Gojek in SEA; Meituan, Didi in China). Launch a freemium tier: free CV-based spoilage detection for small players (<1000 orders/day), paid forecasting and routing optimization for larger platforms. Expand to India (Swiggy Instamart, Zepto, BigBasket) and Latin America (Rappi, Cornershop). Hire regional sales teams and build case studies showing ROI (e.g., 'Reduced spoilage by 18%, saving $3M annually'). Add new modules: supplier quality scoring (which farms deliver best produce), dynamic pricing recommendations (discount items nearing expiration). Success metric: 20-30 customers, $1M-2M ARR, 100K+ orders processed daily through the platform.

Step 4 - Moat (Months 19-36): Build the data flywheel. As more orders flow through FreshGraph, the demand forecasting models improve, creating a competitive moat—new entrants can't match prediction accuracy without equivalent data. Launch a supplier network: allow farms and wholesalers to access anonymized demand forecasts (e.g., 'Tomato demand in Jakarta will spike 30% next week due to holiday') in exchange for sharing their inventory data, creating a two-sided network. Expand into adjacent verticals: flowers (high spoilage), pharmaceuticals (temperature-sensitive), meal kits. Introduce financial products: offer supply chain financing to suppliers based on predicted demand (e.g., 'We forecast you'll sell 10K kg of tomatoes next month; here's a loan to buy seeds'). Explore M&A opportunities: acquire regional logistics software companies to bundle offerings. Success metric: 100+ enterprise customers, $10M+ ARR, 1M+ orders/day, and become the de facto supply chain OS for fresh produce in emerging markets. Exit via acquisition by a logistics giant (Alibaba, Meituan, Grab) or IPO as a vertical SaaS leader.