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SoyaFlow

A distribution platform for Soya Excel across Canada, the US, and Spain. Reorder forecasts, clustered delivery routes, and fleet KPIs without putting IoT sensors on every farm bin.

AI IntegrationCustom SoftwareData Systems
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Soybean meal sacks on a loading dock with a delivery truck and route tablet
The brief

Challenge

Installing bin sensors at every client site is prohibitive. Planners still needed a week of forward visibility on farmer reorders and efficient multi-stop routes.

The build

Approach

An XGBoost model on 62 operational features (about 95% reorder accuracy) plus DBSCAN/KMeans routing and Google Maps. Forecasts replace per-site sensor hardware.

Capacités

What it does

  • Reorder prediction without per-site IoT sensors
  • Clustered multi-stop route planning
  • Inventory control across product types
  • Scope 3 emissions tracking for the fleet

Supply Chain · Machine Learning · Logistics

Attribution

Built by the founder

Engineered by Emmanuel Amankrah Kwofie, founder and CTO of Vinerals Technologies, at SASEL Lab, McGill University, with academic and industry partners across Canada, Europe, and Africa.

Full technology page at SASEL

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