Waste Reduction in Retail

Through LAVRIO.solutions GmbH our founders supported one of Europe's leading supply chain AI companies in deploying demand forecasting solutions to major retailers.

Every year, roughly one-third of all food produced globally is wasted—while at the same time, empty shelves frustrate shoppers and cost retailers billions in lost sales. The root cause is the same: inaccurate demand forecasting. Supermarkets must predict what thousands of customers will buy across hundreds of stores, accounting for weather, holidays, promotions, and countless other factors.

Advanced machine learning models that predict customer demand with unprecedented accuracy. By analyzing historical sales data, external factors, and complex patterns invisible to traditional methods, these systems help retailers order precisely what they need—reducing both waste and stockouts.

Our founders helped bring AI-powered demand forecasting to new retail customers. Their work focused on data preparation, ensuring data quality for accurate model training, and KPI analysis to measure and demonstrate real-world impact. This hands-on deployment experience—bridging the gap between sophisticated ML models and measurable business outcomes—remains central to how we approach AI projects today.

• Reduced food waste through precise demand prediction

• Fewer empty shelves improving customer satisfaction

• Rigorous KPI tracking demonstrating measurable sustainability gains

• Data quality frameworks enabling reliable model performance

Retail & Supply Chain

Data Engineering, KPI Analysis, ML Deployment, Sustainability