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公开(公告)号：US11030674B2
公开(公告)日：2021-06-08
申请号：US15487507
申请日：2017-04-14
发明人： Mukesh M. Nair , Peter E. Stubbs
摘要： 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.
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公开(公告)号：US20180075521A1
公开(公告)日：2018-03-15
申请号：US15828098
申请日：2017-11-30
发明人： Mukesh M. Nair , Peter E. Stubbs
IPC分类号： G06Q30/06
CPC分类号： G06Q30/0639 , G06Q30/0617 , G06Q30/0635
摘要： 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. The algorithm is dynamically adjustable in response to receiving additional picking data identifying different picking paths that reflect changes to the store layout.
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公开(公告)号：US09904952B2
公开(公告)日：2018-02-27
申请号：US15473290
申请日：2017-03-29
发明人： Mukesh M. Nair , Peter E. Stubbs
CPC分类号： G06Q30/0639 , G06Q30/0617 , G06Q30/0635
摘要： 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. The algorithm is dynamically adjustable in response to receiving additional picking data identifying different picking paths that reflect changes to the store layout.
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公开(公告)号：US10049401B2
公开(公告)日：2018-08-14
申请号：US15828098
申请日：2017-11-30
发明人： Mukesh M. Nair , Peter E. Stubbs
摘要： 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. The algorithm is dynamically adjustable in response to receiving additional picking data identifying different picking paths that reflect changes to the store layout.
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公开(公告)号：US20170287057A1
公开(公告)日：2017-10-05
申请号：US15473290
申请日：2017-03-29
发明人： Mukesh M. Nair , Peter E. Stubbs
IPC分类号： G06Q30/06
CPC分类号： G06Q30/0639 , G06Q30/0617 , G06Q30/0635
摘要： 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. The algorithm is dynamically adjustable in response to receiving additional picking data identifying different picking paths that reflect changes to the store layout.
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公开(公告)号：US09665899B1
公开(公告)日：2017-05-30
申请号：US15088041
申请日：2016-03-31
发明人： Mukesh M. Nair , Peter E. Stubbs
CPC分类号： G06Q30/0639 , G06Q30/0617 , G06Q30/0635
摘要： 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. The algorithm is dynamically adjustable in response to receiving additional picking data identifying different picking paths that reflect changes to the store layout.
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