Everything you need to manage soybean meal distribution at scale
XGBoost ML model predicts client reorder dates with 95% accuracy using 62 features, replacing $110K sensor systems.
Manage clients across Canada (QC, ON, NB, BC), USA, and Spain from a unified platform.
Track soybean meal inventory by product type (Trituro 44%, Dairy Trituro, Oil) with quality grades.
Google Maps integration with DBSCAN/KMeans clustering for optimal delivery routes.
Monitor KM/TM efficiency by product type, forecast accuracy (90-95% target), and weekly plans.
Track monthly usage trends, delivery performance, client priority alerts, and prediction confidence.
Everything you need in one unified system
AI predictions, priority alerts, geocoding, monthly usage tracking
Batch tracking, delivery status, expedition dates, quantity monitoring
Stock levels, quality grades, silo management, low-stock alerts
Cluster-based optimization, GPS tracking, delivery scheduling
Tuesday planning, Friday finalization, forecast accuracy tracking
KM/TM by product, delivery rates, trend analysis, target monitoring
Rooted in Québécois agriculture, committed to sustainability and community
100%
Local Focus
Rooted in Québec
Supporting local agriculture and the soybean value chain. Valuing local products, from our lands, with our people.
99.8%
Processing Rate
99.8% Efficiency
Minimal waste, maximum value. Almost everything that enters our plants comes out processed and ready to use.
0.2%
Product Loss
Smart Systems
Heat recovery systems and greywater reuse reducing our ecological footprint through continuous innovation.
10+
Causes Supported
Community First
Supporting causes that matter — from autism support services to children's foundations and local sports teams.
100%
Team Commitment
People Built This
Hardworking people built Soya Excel. We support our employees and their families, rewarding effort and dedication.
QC
Proudly Local
Made in Québec
No more exporting raw, importing processed. Québec produces quality soybeans — we process them right here.
SoyaFlow was developed through a collaboration between leading research institutions and industry partners

McGill University
Sustainable Agrifood Systems Engineering Lab - Leveraging model-based approaches and digital innovation for sustainable food systems
Software Engineer
Full Stack Developer & Cloud Architect specializing in research-to-software engineering and sustainable food systems technology

Research Partnership
Quebec collaboration platform accelerating innovation, technology transfer, and sustainable agri-food processing development
Supported by the Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec (MAPAQ)