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.

NextAtlas is a cutting-edge AI-enabled trend forecasting platform that combines advanced natural language processing (NLP) and machine learning to analyze huge volumes of social media and other data sources. It identifies emerging trends, evolving consumer behaviors, and provides insightful analytics that support strategic business decisions. With real-time and always-on analysis, businesses can stay ahead of trends and market changes, ensuring they remain competitive and responsive to consumer needs.

Banrboard is transforming outdoor advertising by connecting advertisers directly with billboard owners. With real-time updates and AI-powered features such as dynamic pricing and demand prediction, the platform optimizes returns for both advertisers and owners. Additionally, features like route optimization and night visibility make billboard advertising more seamless and impactful. Banrboard offers a user-friendly experience, smart advertising solutions, convenient access, real-time updates, and competitive pricing, ensuring the best outcomes for all users involved.

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.