Case Study · Mexico Vertical SaaS
FloraFlow
AI Floriculture Revenue Optimizer
Estado de México produces roughly 70% of Mexico's cut flowers, and most growers still grade by hand, price by gut, and ship blind. FloraFlow gives them a production-grade revenue stack: computer-vision photo grading, 30-day demand forecasting, 7-day dynamic pricing, satellite-based crop health monitoring, and a real-time bilingual auction marketplace with AI-floor pricing — built specifically for the Cuemanco / Jamaica wholesale corridor.
39
API Endpoints
30 days
Demand Window
7 days
Pricing Window
ES / EN
Languages
Core Features
AI Photo Grading
Upload a photo of a flower batch and get an export / first / second / third grade in seconds, with confidence scores and reasoning. Cuts manual grading from hours to minutes.
Disease & Pest Detection
Spot blight, mites, and fungal infections from plant photos before they spread. Recommended interventions are tied to local distributor inventory.
Demand Forecasting
30-day demand forecast per flower type, calibrated against CDMX wholesale market data and seasonal events (Día de las Madres, Día de los Muertos, etc.).
Dynamic Pricing
7-day rolling price recommendations that account for supply, demand, freshness, and corridor (Mercado de Jamaica vs. Cuemanco vs. export).
Satellite Crop Health
Open-Meteo + ERA5 satellite ingestion to monitor parcel-level health, frost risk, and irrigation needs without sensors in the field.
Real-Time Auction Marketplace
Bilingual ES/EN auction marketplace with AI-floor pricing — growers post, buyers bid, the AI prevents under-pricing during oversupply windows.
Tech Stack
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