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公开(公告)号：US10937084B2
公开(公告)日：2021-03-02
申请号：US15827458
申请日：2017-11-30
发明人： Shyh-Kwei Chen , Ajay A. Deshpande , Saurabh Gupta , Arun Hampapur , Ali Koc , Yingjie Li , Dingding Lin , Xuan Liu , Christopher S. Milite , Brian L. Quanz , Chek Keong Tan , Dahai Xing , Xiaobo Zheng
摘要： A method for continuously tracking business performance impact of order sourcing systems and algorithms that decide how ecommerce orders should be fulfilled by assigning the items of the order to nodes in a fulfillment network such as stores, distribution centers, and third party logistics—to provide automatic root cause analysis and solution recommendations to pre-defined business problems arising from KPI monitoring. A Business Intelligence (BI) dashboard architecture operates with: 1) a monitoring module that continuously monitors business KPIs and creates abnormality alerts; and 2) a root cause analysis module that is designed specifically for each business problem to give real time diagnosis and solution recommendation. The root cause analysis module receives the created alert, and triggers conducting a root cause analysis at an analytics engine. The BI dashboard and user interface enables visualization of the KPI performance and root cause analysis results.
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公开(公告)号：US10929808B2
公开(公告)日：2021-02-23
申请号：US15407736
申请日：2017-01-17
发明人： Lei Cao , Ajay Ashok Deshpande , Ali Koc , Yingjie Li , Xuan Liu , Brian Leo Quanz , Yada Zhu
IPC分类号： G06Q10/08
摘要： Techniques for facilitating estimation of node processing capacity values for order fulfillment are provided. In one example, a computer-implemented method can comprise: generating, by a system operatively coupled to a processor, a current processing capacity value for an entity; and determining, by the system, a future processing capacity value for the entity based on the current processing capacity value and by using a future capacity model that has been explicitly trained to infer respective processing capacity values for the entity. The computer-implemented method can also comprise fulfilling an order of an item, by the system, based on the future processing capacity value.
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13.发明授权公开(公告)号：US10902373B2
公开(公告)日：2021-01-26
申请号：US15154249
申请日：2016-05-13
发明人： Ajay A. Deshpande , Saurabh Gupta , Arun Hampapur , Alan J. King , Ali Koc , Yingjie Li , Xuan Liu , Christopher S. Milite , Brian L. Quanz , Chek Keong Tan , Dahai Xing , Xiaobo Zheng
IPC分类号： G06Q30/00 , G06Q10/08 , G06Q30/02 , G06N20/00 , G06F16/14 , G06F16/182 , G06F16/17 , G06F16/23 , G06N5/00 , G06F3/0482 , G06F3/0484 , G06Q30/06 , H04L12/26 , G06N5/04 , G06Q10/06
摘要： The present disclosure relates generally to the field of retail supply networks. In one specific example, mechanisms are provided to model markdown-avoidance savings for omni-channel fulfillment in retail supply networks. In various embodiments, systems, methods and computer program products are provided.
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公开(公告)号：US10776747B2
公开(公告)日：2020-09-15
申请号：US15088686
申请日：2016-04-01
发明人： Ajay A. Deshpande , Saurabh Gupta , Arun Hampapur , Alan J. King , Ali Koc , Yingjie Li , Xuan Liu , Christopher S. Milite , Brian L. Quanz , Chek Keong Tan , Dahai Xing , Xiaobo Zheng
IPC分类号： G06Q10/08 , G06Q30/02 , G06N20/00 , G06F16/14 , G06F16/182 , G06F16/17 , G06F16/23 , G06N5/00 , G06F3/0482 , G06F3/0484 , G06Q30/06 , H04L12/26 , G06N5/04 , G06Q10/06
摘要： A method and system for evaluating node fulfillment capacity in node order assignment. The method includes receiving by a network average capacity utilization cost module an electronic record of a current order. The method includes retrieving data of a plurality of nodes, calculating an actual capacity utilization on an expected date, and determining a probability of backlog on the expected date. The method includes generating a network average capacity utilization cost model, automatically converting one or more of a plurality of costs and capacity utilization into a capacity utilization cost, and transmitting the capacity utilization cost of each node to an order fulfillment engine. The method includes receiving by the engine the current order, the processing cost data, and the capacity utilization cost. The method includes automatically calculating a fulfillment cost and identifying a node with the lowest fulfillment cost for assignment.
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公开(公告)号：US10719803B2
公开(公告)日：2020-07-21
申请号：US15086875
申请日：2016-03-31
发明人： Ajay A. Deshpande , Saurabh Gupta , Arun Hampapur , Ali Koc , Dingding Lin , Xuan Liu , Brian L. Quanz , Yue Tong , Dahai Xing , Xiaobo Zheng
IPC分类号： G06Q10/08 , G06Q30/02 , G06N20/00 , G06F16/14 , G06F16/182 , G06F16/17 , G06F16/23 , G06N5/00 , G06F3/0482 , G06F3/0484 , G06Q30/06 , H04L12/26 , G06N5/04 , G06Q10/06
摘要： A historical scenario and historical decisions made in the historical scenario are received. The historical decisions represent a set of decision variables of an objective function. A random set of decision variables having different values than the set of decision variables are generated. To determine a weight setting associated with multiple objectives of the objective function, a number of inequalities are built and solved with an assumption that, for an optimization that minimizes the objective function, the objective function having the set of random decision variables has a larger value than the objective function having the set of decision variables. The receiving, the generating and the building steps may be repeated to determine multiple sets of weight settings. The multiple sets of weight settings are searched to select a target weight setting for each of the multiple objectives. The target weight setting may be automatically and continuously learned.
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公开(公告)号：US10417571B2
公开(公告)日：2019-09-17
申请号：US14708814
申请日：2015-05-11
发明人： Jayant R. Kalagnanam , Ali Koc
摘要： The present disclosure relates generally to computational solution algorithms (and associated systems and methods) applied to a stochastic unit commitment problem. In one example, the computational solution algorithms (and associated systems and methods) may be applied to the energy industry.
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公开(公告)号：US10373102B2
公开(公告)日：2019-08-06
申请号：US15087569
申请日：2016-03-31
发明人： Ajay A. Deshpande , Saurabh Gupta , Arun Hampapur , Alan J. King , Ali Koc , Yingjie Li , Xuan Liu , Christopher S. Milite , Brian L. Quanz , Chek Keong Tan , Dahai Xing , Xiaobo Zheng
IPC分类号： G06Q30/00 , G06Q10/08 , G06Q30/02 , G06N20/00 , G06F16/14 , G06F16/182 , G06F16/17 , G06F16/23 , G06F3/0482 , G06F3/0484 , G06Q30/06 , H04L12/26 , G06N5/04 , G06Q10/06
摘要： A method and system for evaluating node fulfillment capacity in node order assignment. The method includes receiving a current order for node order assignment. The method also includes retrieving data of each node from a plurality of nodes, the retrieved data comprising current capacity utilization, capacity of a current day and capacity of a future day. The method then includes determining a probability of backlog on an expected ship date of each node, the probability of backlog being based on the retrieved current capacity utilization. Further, the method includes automatically converting the probability of backlog, backlog cost, and labor cost of each node into a capacity utilization cost of the each node using a capacity utilization cost model defining a set of predetermined capacity utilization threshold values. Then, the method includes automatically calculating a fulfillment cost of each node of the current order by adding a plurality of costs.
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公开(公告)号：US20170213174A1
公开(公告)日：2017-07-27
申请号：US15406342
申请日：2017-01-13
发明人： Ajay A. Deshpande , Saurabh Gupta , Arun Hampapur , Ali Koc , Yingjie Li , Xuan Liu , Christopher Milite , Brian L. Quanz , Chek Keong Tan , Dahai Xing , Xiaobo Zheng
IPC分类号： G06Q10/06
CPC分类号： G06Q10/06315 , G06Q10/0633 , G06Q10/067
摘要： A system, method and computer program product for enhancing on-premise order management systems (OMS) designed for fulfillment transactions with analytic and optimization technologies and services hosted in a shared multi-tenant software-as-a-service (SaaS) environment, such as a hybrid cloud. The computer-implemented method improves an order management system by leveraging a “punch-out” approach based on user exits to integrate with and augment currently implemented order management processing and transaction flows. Using the hybrid cloud, an entity may retain data such as its accumulated business, sales, test and other data, and then run analytical queries, which can scale to support distributed computing tasks. A framework adaptor/connector is leveraged by the OMS to provide a web client for communicating with and integrating to the SaaS analytics runtime environment, encapsulating all necessary connection pooling, security, and data marshaling complexity away from the order management system to meet strict service response time windows.
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公开(公告)号：US20170206500A1
公开(公告)日：2017-07-20
申请号：US15153963
申请日：2016-05-13
发明人： Ajay A. Deshpande , Saurabh Gupta , Arun Hampapur , Ali Koc , Yingjie Li , Xuan Liu , Christopher S. Milite , Brian L. Quanz , Chek Keong Tan , Dahai Xing , Xiaobo Zheng
CPC分类号： G06Q10/08345 , G06F3/0482 , G06F3/04847 , G06F16/148 , G06F16/1734 , G06F16/183 , G06F16/1844 , G06F16/2365 , G06N5/003 , G06N5/04 , G06N5/045 , G06N20/00 , G06Q10/06315 , G06Q10/0633 , G06Q10/06375 , G06Q10/083 , G06Q10/0833 , G06Q10/0838 , G06Q10/087 , G06Q10/0875 , G06Q30/0201 , G06Q30/0206 , G06Q30/0283 , G06Q30/0284 , G06Q30/0635 , H04L43/0876 , H04L43/0882 , H04L43/16
摘要： A shipping option cost matrix may be generated based on the postal address codes, the carrier transit time data and the shipment rate cards. Responsive to receiving an order, the generated shipping option cost matrix may be searched in real-time to determine least costly delivery option, based on order information, the order information comprising a scheduled fulfillment center, destination, expected delivery date and weight of a shipment.
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公开(公告)号：US12099969B2
公开(公告)日：2024-09-24
申请号：US18342670
申请日：2023-06-27
发明人： Elisabeth Claire Paulson , Ashish Jagmohan , Ajay Ashok Deshpande , Pavithra Harsha , Ali Koc , Krishna Chaitanya Ratakonda , Ramesh Gopinath
IPC分类号： G06Q10/087 , G06Q10/083 , G06Q10/0833 , H04L9/32
CPC分类号： G06Q10/087 , G06Q10/0833 , G06Q10/0838 , H04L9/32
摘要： An example operation may include one or more of receiving, by a retailer node, an encrypted inventory of goods data from a plurality of supplier nodes over a blockchain network, computing, by the retailer node, an ordering proportion based on the encrypted inventory of goods data, generating, by the retailer node, an ordering policy based on the ordering proportion, and executing a smart contract to order goods from the plurality of the supplier nodes based on the ordering policy.
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