公开(公告)号：US11849046B2

公开(公告)日：2023-12-19

申请号：US16657973

申请日：2019-10-18

申请人： International Business Machines Corporation

发明人： Yam Huo Ow ,  Ashish Jagmohan ,  Ali Koc ,  Ajay Ashok Deshpande ,  Pavithra Harsha

IPC分类号： H04L9/32 ,  G06Q20/38 ,  G06Q10/087 ,  G06Q30/04 ,  G06F16/27 ,  H04L9/00

CPC分类号： H04L9/3239 ,  G06F16/27 ,  G06Q10/087 ,  G06Q20/3829 ,  G06Q30/04 ,  H04L9/3247 ,  G06Q2220/00 ,  H04L9/50 ,  H04L2209/56

摘要： An example operation may include one or more of receiving, by a first node, a freshness of goods data from a second node over a blockchain, and executing, by the first node, a smart contract to: calculate an initial order quantity based on a pre-set critical order number and a non-expiring goods order quantity and alter a final order quantity based on the initial order quantity and the freshness of the goods data.

公开(公告)号：US20230196278A1

公开(公告)日：2023-06-22

申请号：US17553195

申请日：2021-12-16

申请人： International Business Machines Corporation

发明人： Pavithra Harsha ,  Brian Leo Quanz ,  Ali Koc ,  Dhruv Shah ,  Shivaram Subramanian ,  Ajay Ashok Deshpande ,  Chandrasekhar Narayanaswami

IPC分类号： G06Q10/08 ,  G06Q10/06 ,  G06Q30/02

CPC分类号： G06Q10/087 ,  G06Q10/06393 ,  G06Q30/0202

摘要： A processor in an omnichannel environment, over a specific network with transaction level operations, may receive one or more input configurations. The processor may identify, based on the one or more input configurations, one or more articles. The processor may identify one or more key performance indicators (KPIs) associated with the one or more articles. The processor may compute, based on an uncensored demand trajectory, an impact on the KPIs over a specified period in the omnichannel environment. The processor may provide the impact to a user.

公开(公告)号：US10783483B2

公开(公告)日：2020-09-22

申请号：US15153921

申请日：2016-05-13

申请人： International Business Machines Corporation

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 a regular labor cost or a overtime labor cost 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.

公开(公告)号：US10074066B2

公开(公告)日：2018-09-11

申请号：US15017860

申请日：2016-02-08

申请人： International Business Machines Corporation

发明人： Ajay A. Deshpande ,  Saurabh Gupta ,  Arun Hampapur ,  Alan J. King ,  Ali Koc ,  Pradyumnha G. Kowlani ,  Yingjie Li ,  Ding Ding Lin ,  Xuan Liu ,  Christopher Milite ,  Brian L. Quanz ,  Chek Keong Tan ,  Dahai Xing ,  Xiao Bo Zheng

IPC分类号： G06Q30/00 ,  G06Q10/08 ,  G06Q30/02 ,  G06F3/0482 ,  G06F3/0484 ,  G06Q30/06 ,  H04L12/26 ,  G06N5/04 ,  G06Q10/06 ,  G06F17/30 ,  G06N99/00

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 method, system and computer program product for managing an order in an Omni-channel order fulfillment system is disclosed. A stock-keeping unit (SKU) node level cost is predicted for a plurality of SKUs. The order is received containing one or more SKUs. A candidate list of fulfillment nodes is determined for fulfilling each of the one or more SKUs in the order using the predicted SKU node level cost and a fulfillment node-destination shipping distance. One or more fulfillment nodes are selected from the candidate list, and the order is fulfilled using the selected one or more fulfillment nodes.

公开(公告)号：US20180158008A1

公开(公告)日：2018-06-07

申请号：US15827599

申请日：2017-11-30

申请人： International Business Machines Corporation

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

摘要： A method 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.

公开(公告)号：US20170206491A1

公开(公告)日：2017-07-20

申请号：US15153921

申请日：2016-05-13

申请人： International Business Machines Corporation

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 ,  G06Q30/06 ,  G06Q30/02 ,  H04L12/26

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 a regular labor cost or a overtime labor cost 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.

公开(公告)号：US20170206481A1

公开(公告)日：2017-07-20

申请号：US15154007

申请日：2016-05-13

申请人： International Business Machines Corporation

发明人： Sanjay E. Cheeran ,  Ajay A. Deshpande ,  Saurabh Gupta ,  Arun Hampapur ,  Steve Igrejas ,  Ali Koc ,  Pradyumnha G. Kowlani ,  Yingjie Li ,  Ding Ding Lin ,  Xuan Liu ,  Christopher S. Milite ,  Brian L. Quanz ,  Vadiraja S. Ramamurthy ,  Sachin Sethiya ,  Chek Keong Tan ,  Dahai Xing ,  Michael Yesudas ,  Xiaobo Zheng

IPC分类号： G06Q10/06 ,  G06N5/04

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 predictive engine on a computer environment comprising a shared pool of configurable computing resources is executed to perform a predictive analysis on data pipelined into the computer environment, the data received from a plurality of sources and in a plurality of different formats, the predictive engine generating a network level cost information based on the predictive analysis on a dynamic and continuous basis. Asynchronous communication comprising the network level cost information from the predictive engine is received and a set of candidate nodes for order fulfillment is generated based on the network level cost information and a defined distance between the set of candidate nodes and a target destination. An optimization engine on the computer environment is invoked that filters the set of candidate nodes. A number of fulfillment nodes that meet one or more of a constraint and preconfigured rule is output.

公开(公告)号：US20240095675A1

公开(公告)日：2024-03-21

申请号：US18513580

申请日：2023-11-19

申请人： International Business Machines Corporation

发明人： Elisabeth Claire Paulson ,  Ashish Jagmohan ,  Ajay Ashok Deshpande ,  Pavithra Harsha ,  Ali Koc ,  Krishna Chaitanya Ratakonda ,  Ramesh Gopinath

IPC分类号： G06Q10/0875 ,  G06Q30/0601

CPC分类号： G06Q10/0875 ,  G06Q30/0635

摘要： An example operation may include one or more of acquiring, by a retailer node, an inventory data from a supplier node over a blockchain network, receiving, by the retailer node, outstanding orders data of the supplier node, generating, by the retailer node, an order distribution policy based on the inventory data and the outstanding orders data, and executing a smart contract to order goods from the supplier node based on the ordering policy.

公开(公告)号：US20230342717A1

公开(公告)日：2023-10-26

申请号：US18342670

申请日：2023-06-27

申请人： International Business Machines Corporation

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 ,  H04L9/32 ,  G06Q10/083 ,  G06Q10/0833

CPC分类号： G06Q10/087 ,  H04L9/32 ,  G06Q10/0838 ,  G06Q10/0833

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.

公开(公告)号：US11544665B2

公开(公告)日：2023-01-03

申请号：US16656568

申请日：2019-10-17

申请人： International Business Machines Corporation

发明人： Elisabeth Claire Paulson ,  Ashish Jagmohan ,  Ajay Ashok Deshpande ,  Pavithra Harsha ,  Ali Koc ,  Krishna Chaitanya Ratakonda ,  Ramesh Gopinath

IPC分类号： G06Q10/08 ,  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.