Regional Produce Tracking & Yield Forecasting System
Connecting 4,200 smallholder farms to regional markets with predictive dispatch.
Verified Outcomes & Impact
The Problem
Field agronomists in Eldoret and Nakuru logged harvest yields into disparate offline spreadsheets. Operations managers in Nairobi received numbers 3–5 days late, leading to spoilage, over-committed contracts, and unpredictable delivery schedules.
Our Approach & Implementation
Landometrix designed an automated data ingestion pipeline using PostgreSQL and Python. We normalized disparate harvest formats into a centralized data warehouse and deployed a lightweight forecasting model predicting dispatch volumes 72 hours in advance.
The Result
Eliminated manual spreadsheet reconciliation entirely. Warehouse dispatchers gained real-time visibility, reducing perishables wastage by 38% within the first 90 days.
Technology Stack & Infrastructure
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