Invention Grant
- Patent Title: Simulating a return network
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Application No.: US16740214Application Date: 2020-01-10
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Publication No.: US11315066B2Publication Date: 2022-04-26
- Inventor: Ajay Ashok Deshpande , Ali Koc , Brian Leo Quanz , Jae-Eun Park , Yada Zhu , Yingjie Li , Christopher Scott Milite , Xuan Liu , Chandrasekhar Narayanaswami
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Patterson + Sheridan, LLP
- Main IPC: G06Q10/06
- IPC: G06Q10/06 ; G06Q10/08 ; G06Q30/02

Abstract:
Embodiments herein describe a return network simulation system that can simulate changes in a retailer's return network to determine the impact of those changes. Advantageously, being able to accurately simulate the retailer's return network means changes can be evaluated without first making those adjustments in the physical return network. Doing so avoids the cost of implementing the changes on the return network without first being able to predict whether the changes will have a net positive result (e.g., a positive result that offsets any negative results). A retailer can first simulate the change on the return network, review how the change affects one or more KPIs, and then decide whether to implement the change in the actual return network. As a result, the retailer has a reliable indicator whether the changes will result in a desired effect.
Public/Granted literature
- US20210216922A1 SIMULATING A RETURN NETWORK Public/Granted day:2021-07-15
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