Adaptive Systems in Order Management
Manhattan's TMS Computational Intelligence solutions offer adaptive systems in order management that utilize advanced algorithms to optimize fulfillment sourcing. By continuously prioritizing fulfillment selection, minimizing split shipments, and maximizing distressed inventory, these adaptive algorithms deliver the lowest total cost fulfillment plan for each order. This tailored approach ensures efficient and cost-effective order processing, enhancing overall supply chain performance.
Data Science in Order Management
Within order management, Manhattan leverages data science techniques and machine learning to enhance predictive promising models. By considering various inventory parameters such as backordered, on-hand & inbound inventories, labor capacity, service level, carrier, and more, the system improves ship and delivery date estimation accuracy. This enables businesses to optimize inventory allocation and improve customer service through reliable delivery commitments.
Optimization in Promotions and Store Systems
Manhattan's TMS Computational Intelligence solutions also provide optimization capabilities in promotions and store systems. With numerous algorithms and mathematical models, the system offers valuable insights for promotional recommendations, in-store task assignments, and more. By leveraging optimization techniques, businesses can enhance store operations, boost sales, and improve customer engagement through targeted promotions.
Supply Chain Planning Intelligence
Manhattan's computational intelligence extends to supply chain planning, covering areas like allocation, demand forecasting, and replenishment. By deploying adaptive systems in demand forecasting, decision science in inventory planning, and data science in demand forecasting, businesses can proactively respond to market changes, optimize inventory levels, and streamline supply chain operations.
Supply Chain Execution Intelligence
In supply chain execution, Manhattan's TMS Computational Intelligence solutions enhance warehouse management, labor management, transportation management, and more. By leveraging data science for labor management, optimization in transportation management, and adaptive systems in warehouse management, businesses can improve operational efficiency, reduce costs, and enhance overall supply chain performance.
Benefits of Data Science and Decision Science
Data science and decision science play crucial roles in optimizing supply chain operations. By harnessing data-driven insights and advanced analytical techniques, businesses can make informed decisions, improve forecasting accuracy, and enhance inventory management. These technologies enable businesses to adapt to changing market dynamics, minimize risks, and drive sustainable growth.
Manhattan Active® Solutions for Comprehensive Supply Chain Management
Manhattan's suite of solutions, including Warehouse Management, Transportation Management, and Point of Sale, offers a comprehensive platform for supply chain commerce. With cloud-native, evergreen technology supported by strategic partners like Google Cloud and Zebra, businesses can achieve end-to-end visibility, control, and optimization across their supply chain network. The seamless integration of Manhattan Active® IQ computational intelligence further enhances operational efficiency and drives business success.