Case Study · Mexico Agtech
AgroFlow
Agricultural Supply-Chain Intelligence for Michoacán
Michoacán is one of Mexico's most productive agricultural regions, but most producers price by gut, plan routes by tradition, and ship without knowing whether the buyer at destination will pay. AgroFlow gives producers an AI supply-chain layer: live market intelligence, 30-day demand forecasts, route optimization tied to actual market days, and a buyer-matching engine that accounts for quality grade and payment reliability — all accessible from a phone in the field.
Michoacán
Region
30 days
Forecast Window
CLI + API
Channels
ES / EN
Languages
Core Features
Market Price Intelligence
Live wholesale prices across the major Michoacán markets, normalized for grade and freshness, with daily AI-summarized trend reports.
Demand Forecasting
30-day forecasts per commodity calibrated against historical CDMX consumption, regional events, and seasonal cycles.
Supply-Chain Optimization
AI route planner that accounts for actual market days in Pátzcuaro, Uruapan, and Morelia — minimizing fuel and spoilage.
Supplier-Buyer Matching
Matches producers to buyers based on volume, quality grade, payment terms, and historical reliability — with cooperative integration.
Mobile-Friendly CLI
Lightweight CLI accessible from a phone in the field. No app install, no app store fights — just SSH and a text interface that works on 3G.
Predictive Inventory
Spoilage and oversupply forecasts so producers know which lots to push first and which to hold for better windows.
Tech Stack
Building agtech for Mexico?
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