Logistics
Palantir’s logistics solutions enable seamless data integration and real-time insights, optimize route planning, and improve inventory management.
With advanced analytics, logistics companies can make data-driven decisions, reduce operational costs, and ensure timely deliveries, ultimately driving efficiency across the entire supply chain.
With advanced analytics, logistics companies can make data-driven decisions, reduce operational costs, and ensure timely deliveries, ultimately driving efficiency across the entire supply chain.
Use Case 1AIP for Supply Chain Logistics
AIP for Supply Chain Logistics allows organizations to quickly and cost-effectively adapt their supply and demand plans in response to network constraints and external factors, supporting optimal Supply Chain operations.
AIP for Supply Chain Logistics enables organizations to react efficiently to disruptions in the supply chain.
Constraints in the network (i.e., location constraints, transportation capacity, labor shortages) as well as external factors might require supply and demand plans to be adjusted on short notice. Those adjustments should be made as fast as possible and with cost and impact to service in mind, in order to arrive at the best execution outcome for day-to-day logistics.
Paired with linear optimization models, AIP recommends necessary orders based on stock transfer orders in the network, surfacing for human-in-the-loop review. The optimization model considers the latest state of the network and potential disruptions through integration of Enterprise Resource Planning (ERP), Transport Management Systems (TMS) and Warehouse Management Systems (WMS). AIP also considers live service levels and targets, as well as costs incurred when moving and processing product.
Constraints in the network (i.e., location constraints, transportation capacity, labor shortages) as well as external factors might require supply and demand plans to be adjusted on short notice. Those adjustments should be made as fast as possible and with cost and impact to service in mind, in order to arrive at the best execution outcome for day-to-day logistics.
Paired with linear optimization models, AIP recommends necessary orders based on stock transfer orders in the network, surfacing for human-in-the-loop review. The optimization model considers the latest state of the network and potential disruptions through integration of Enterprise Resource Planning (ERP), Transport Management Systems (TMS) and Warehouse Management Systems (WMS). AIP also considers live service levels and targets, as well as costs incurred when moving and processing product.
Supply Chain Control Tower
Evaluate inventory health across levels of the supply chain network. The application provides a granular overview of the state of your network, as well as an aggregate picture of the scale of the problem to be addressed.
Logistics Recommendation Interface
AIP provides recommendations of how to adjust stock transfer orders optimally when required. The recommendations can be reviewed and actioned upon by supply and demand planners. It’s possible to directly write the recommendations back to an ERP source system like SAP, Oracle, and other systems of record.
Valuation Tracker
APEX provides a dashboard to keep track of global spend and service metrics, as well as review and acceptance rate for recommendations.