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Margins are tightening. Inventory risk is rising. Customer expectations keep increasing.
Yet many retail and CPG organizations still operate with fragmented data across POS, ecommerce, loyalty, ERP, supply chain, and merchandising systems, making it difficult to forecast accurately, personalize experiences, or run operations efficiently.
Adastra has helped organizations like IKEA, Heritage Grocers Group, NFL and Canada Goose, unify their data estate to enable AI. This allows them to:
Our customer Taiga will share how we helped them build out an end-to-end optimized supply chain that covers demand forecasting, route planning, and load optimization.
As a supplier of raw materials, Taiga developed forecasting models to prepare for production needs and serve their customers better. They also offer a predictive demand tool that allows their customers to anticipate their product needs based on real-time inventory and sales data. Taiga enables automatic generation of prefilled e-commerce carts, eliminating manual quantity entry.
Once an order is placed, we helped Taiga optimize their logistics planning, selecting the ideal truck size, stop sequence, and loading configuration for a diverse product mix (lumber, flooring, insulation) while applying complex rules to prevent stacking errors and inefficiencies. What once required eight hours of manual planning now takes three minutes, followed by quick quality checks.
