Abstract: The disclosed system provides real-time detection and remediation of metric anomalies in a replenishment network. A computer system can receive, from data sources, event data, retrieve historic metric data associated with a metric of a retail environment, aggregate the event data and historic metric data into aggregated data for the metric, store the aggregated data in a cache data store, determine, based on applying a statistical algorithms model to the cached aggregated data, (i) a predicted metric value and (ii) upper and lower tolerance bounds for the metric, iteratively receive the event data, aggregate the data, and determine (i) and (ii) until (a) determining a condition is triggered to evaluate the metric or (b) expiration of a time period to which the predicted value and the upper and lower tolerances apply, and return, based on determining the condition is triggered to evaluate the metric, information about metric anomalies.

Abstract: The disclosed system provides real-time detection and remediation of metric anomalies in a replenishment network. A computer system can receive, from data sources, event data, retrieve historic metric data associated with a metric of a retail environment, aggregate the event data and historic metric data into aggregated data for the metric, store the aggregated data in a cache data store, determine, based on applying a statistical algorithms model to the cached aggregated data, (i) a predicted metric value and (ii) upper and lower tolerance bounds for the metric, iteratively receive the event data, aggregate the data, and determine (i) and (ii) until (a) determining a condition is triggered to evaluate the metric or (b) expiration of a time period to which the predicted value and the upper and lower tolerances apply, and return, based on determining the condition is triggered to evaluate the metric, information about metric anomalies.

Abstract: Methods and systems for managing inventory movements are disclosed. Transfer orders are issued to move inventory from location to location in response to real-time demand events. One method includes receiving an inventory request in response to demand signals. The inventory request is analyzed to determine if inventory needs to be moved within the supply chain to satisfy the request. Origin locations are identified that have available stock of the requested items. Transfer orders are issued for each movement on an individual item basis regardless of the type of event that prompted the transfer. The transfer management system responds in real-time to inventory demands from both online and in-store sales.

Abstract: Methods and systems for managing inventory movements are disclosed. Transfer orders are issued to move inventory from location to location in response to real-time demand events. One method includes receiving an inventory request in response to demand signals. The inventory request is analyzed to determine if inventory needs to be moved within the supply chain to satisfy the request. Origin locations are identified that have available stock of the requested items. Transfer orders are issued for each movement on an individual item basis regardless of the type of event that prompted the transfer. The transfer management system responds in real-time to inventory demands from both online and in-store sales.