Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: collecting data corresponding to factors that affect a resalable return rate of the item. By predicting the resalable return rate based on the factors and respective contribution of the factors, number of total units of the item is adjusted.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: collecting data corresponding to factors that affect a resalable return rate of the item. By predicting the resalable return rate based on the factors and respective contribution of the factors, number of total units of the item is adjusted.

Abstract: One embodiment provides a system for dynamically optimizing inventory picking paths within a physical store. The system performs operations including receiving merchandise requests from customers, providing the merchandise requests to merchandise pickers, and receiving, from the merchandise pickers, picking data identifying picking paths executed by the merchandise pickers when picking items within the physical store to fulfill the merchandise requests. The operations further include analyzing the merchandise requests and the picking data to identify an algorithm suitable for determining an optimized picking path, and, in response to receiving a new online merchandise request, applying the algorithm to determine an optimized picking path for fulfilling the new online merchandise request. The optimized picking path is provided to at least one of the merchandise pickers.

Abstract: One embodiment provides a system for dynamically optimizing inventory picking paths within a physical store. The system performs operations including receiving merchandise requests from customers, providing the merchandise requests to merchandise pickers, and receiving, from the merchandise pickers, picking data identifying picking paths executed by the merchandise pickers when picking items within the physical store to fulfill the merchandise requests. The operations further include analyzing the merchandise requests and the picking data to identify an algorithm suitable for determining an optimized picking path, and, in response to receiving a new online merchandise request, applying the algorithm to determine an optimized picking path for fulfilling the new online merchandise request. The optimized picking path is provided to at least one of the merchandise pickers.

Abstract: One embodiment provides a system for dynamically optimizing inventory picking paths within a physical store. The system performs operations including receiving merchandise requests from customers, providing the merchandise requests to merchandise pickers, and receiving, from the merchandise pickers, picking data identifying picking paths executed by the merchandise pickers when picking items within the physical store to fulfill the merchandise requests. The operations further include analyzing the merchandise requests and the picking data to identify an algorithm suitable for determining an optimized picking path, and, in response to receiving a new merchandise request, applying the algorithm to determine an optimized picking path for fulfilling the new merchandise request. The optimized picking path is provided to at least one of the merchandise pickers.

Abstract: One embodiment provides a system for dynamically optimizing inventory picking paths within a physical store. The system performs operations including receiving merchandise requests from customers, providing the merchandise requests to merchandise pickers, and receiving, from the merchandise pickers, picking data identifying picking paths executed by the merchandise pickers when picking items within the physical store to fulfill the merchandise requests. The operations further include analyzing the merchandise requests and the picking data to identify an algorithm suitable for determining an optimized picking path, and, in response to receiving a new merchandise request, applying the algorithm to determine an optimized picking path for fulfilling the new merchandise request. The optimized picking path is provided to at least one of the merchandise pickers.

Abstract: One embodiment provides a system for dynamically optimizing inventory picking paths within a physical store. The system performs operations including receiving merchandise requests from customers, providing the merchandise requests to merchandise pickers, and receiving, from the merchandise pickers, picking data identifying picking paths executed by the merchandise pickers when picking items within the physical store to fulfill the merchandise requests. The operations further include analyzing the merchandise requests and the picking data to identify an algorithm suitable for determining an optimized picking path, and, in response to receiving a new merchandise request, applying the algorithm to determine an optimized picking path for fulfilling the new merchandise request. The optimized picking path is provided to at least one of the merchandise pickers.