Logistify AI is designed to automate the logistics and supply chain processes, eliminating the need for additional managers or data analysts. It utilizes advanced AI techniques to automate demand forecasting, planning, and generate automated reports. The platform also offers automated inventory verification for warehouses and factories using computer vision technology, effectively reducing inventory losses due to human errors. This allows businesses to focus on higher cognitive tasks while ensuring operational efficiencies and accuracy in managing their supply chains.

Transmetrics provides a state-of-the-art AI platform tailored for logistics. This platform leverages predictive analytics and machine learning to optimize transport planning, improve asset management, and enhance overall efficiency. It integrates with existing TMS, ERP, and asset management systems to deliver accurate demand, supply, and positioning forecasts, ultimately reducing costs and environmental impact.

Leman Logistics integrates artificial intelligence to improve supply chain efficiency. Key features include real-time shipment tracking, automated inventory management, predictive analytics for demand forecasting, and route optimization. These advanced capabilities assist logistics managers in making informed decisions, reducing costs, and enhancing service levels. By harnessing AI, Leman Logistics transforms the logistics landscape, ensuring timely deliveries and improving overall customer satisfaction.

The Beer Game Environment provides a discrete-time simulation of a four-stage beer supply chain—retailer, wholesaler, distributor, and manufacturer—exposing an OpenAI Gym interface. Agents receive observations including on-hand inventory, pipeline stock, and incoming orders, then output order quantities. The environment computes per-step costs for inventory holding and backorders, and supports customizable demand distributions and lead times. It integrates seamlessly with popular RL libraries like Stable Baselines3, enabling researchers and educators to benchmark and train algorithms on supply chain optimization tasks.