Abstract: Methods and systems for managing supply chains are disclosed. Replenishment of items within retail stores and distribution centers is optimized to respond to real-time demands. One method includes receiving demand signals corresponding to a sold inventory items and evaluating those demand signals against real-time inventory positions and demand forecasts for that particular inventory item to determine whether to replenish the inventory item and how much inventory to replenish. A router service for assessment of such demand signals is also disclosed.

Abstract: Methods and systems for managing supply chains are disclosed. Replenishment of items within retail stores and distribution centers is optimized to respond to real-time demands. One method includes receiving demand signals corresponding to a sold inventory items and evaluating those demand signals against real-time inventory positions and demand forecasts for that particular inventory item to determine whether to replenish the inventory item and how much inventory to replenish. A router service for assessment of such demand signals is also disclosed.

Abstract: Methods and systems for managing supply chains are disclosed. Replenishment of items within retail stores and distribution centers is optimized to respond to real-time demands. One method includes receiving demand signals corresponding to a sold inventory items and evaluating those demand signals against real-time inventory positions and demand forecasts for that particular inventory item to determine whether to replenish the inventory item and how much inventory to replenish. A router service for assessment of such demand signals is also disclosed.

Abstract: A lead time calculation system includes a configured lead time generator and a measured lead time generator. The configured lead time generator calculates a lead time estimate to move products between a first node in a supply chain and a second node in the supply chain based on expected travel times, expected warehouse times, expected sourcing times, delivery schedules, unloading schedules, and product-node relationship data. A measured lead time generator receives electronic data interchange (EDI) events, receipts, and purchase order data and calculates an actual lead time for the first node and second node. The actual lead time can be compared with the configured lead time to evaluate performance of different aspects of the supply chain. Lead time estimates can be adjusted based on actual lead times that are measured by the measured lead time generator.

Abstract: A lead time architecture includes a lead time aggregator that calculates a lead time estimate to move products between a first node in a supply chain and a second node in the supply chain. The lead time aggregator can additionally, or alternatively, calculate lead time estimate for the sourcing of a product. This lead time estimate reflects the time between receipt of a purchase order by a vendor and the time of delivery of the ordered product to a node within the supply chain. The lead time aggregator is in communication with resources which provide the data upon which the lead time aggregator bases its calculations. The calculations can take into account expected times for route travel, warehouse, and supplier sourcing to be completed.

Abstract: Methods and systems for managing supply chains are disclosed. Replenishment of items within retail stores and distribution centers is optimized to respond to real-time demands. One method includes receiving demand signals corresponding to a sold inventory items and evaluating those demand signals against real-time inventory positions and demand forecasts for that particular inventory item to determine whether to replenish the inventory item and how much inventory to replenish. A router service for assessment of such demand signals is also disclosed.

Abstract: Methods and systems for managing supply chains are disclosed. Replenishment of items within retail stores and distribution centers is optimized to respond to real-time demands. One method includes receiving demand signals corresponding to a sold inventory items and evaluating those demand signals against real-time inventory positions and demand forecasts for that particular inventory item to determine whether to replenish the inventory item and how much inventory to replenish. A router service for assessment of such demand signals is also disclosed.

Abstract: A lead time calculation system includes a configured lead time generator and a measured lead time generator. The configured lead time generator calculates a lead time estimate to move products between a first node in a supply chain and a second node in the supply chain based on expected travel times, expected warehouse times, expected sourcing times, delivery schedules, unloading schedules, and product-node relationship data. A measured lead time generator receives electronic data interchange (EDI) events, receipts, and purchase order data and calculates an actual lead time for the first node and second node. The actual lead time can be compared with the configured lead time to evaluate performance of different aspects of the supply chain. Lead time estimates can be adjusted based on actual lead times that are measured by the measured lead time generator.

Abstract: Methods and systems for managing supply chains are disclosed. Replenishment of items within retail stores and distribution centers is optimized to respond to real-time demands. One method includes determining optimized inventory positions based on demand probability distributions. Items are stocked at locations within a supply chain in order to support efficient movement of items to customers. Inventory levels are maintains in real time. Proactive and reactive demand signals are received and are processed to trigger movements of items within the supply chain to fill orders and replenish stocks in anticipation of future customer demand.