Demand Forecasting and Fulfillment Optimization

The Challenge

Avantis Coopérative is deploying a predictive AI solution to improve how inventory and bulk purchasing are managed across its network of BMR branches, a Canadian renovation centre and retailer specializing in hardware and building materials, as well as through its supplier partnerships. In collaboration with Vooban, the project replaces manual reorder methods with dynamic models that account for short-term demand fluctuations, seasonality, and promotional cycles. The first use case focuses on adjusting inventory levels in real time to prevent overstock and stockouts. The second targets procurement optimization by recommending purchase volumes aligned with long-term demand forecasts, particularly during seasonal promotions. These innovations are expected to raise inventory turnover from 2.0 to 2.5 times per year, increase efficiency across the supply chain, and reduce repetitive tasks for suppliers by 25 percent. In total, the project will save the cooperative 100 hours per week.