- Patent Title: Machine learning to predict impending abandonment of BOPIS orders
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Application No.: US16585455Application Date: 2019-09-27
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Publication No.: US11620610B2Publication Date: 2023-04-04
- Inventor: Borja Canseco , John Kaufmann , Lisa Seacat DeLuca , Andrea Young
- 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
- Agent Michael A. Petrocelli
- Main IPC: G06Q10/08
- IPC: G06Q10/08 ; G06Q30/06 ; G06Q10/0836 ; G06Q10/083 ; G06Q10/0835 ; G06Q30/0601

Abstract:
A buy-online pickup-in-store (BOPIS) order at risk of abandonment is saved by converting the order to same-day delivery. A risk deadline is established using a combination of cognitive prediction, a customer-specific time frame, order constraints, and real-time data. The cognitive prediction uses a customer profile having historical data pertaining to previous BOPIS orders from this customer. If the product is not picked up by the risk deadline, a check is made to see if same-day delivery is feasible. If so, a notification is transmitted to the customer with proposed delivery details. The notification can be sent at an optimal time based on previous notifications sent to the customer and time constraints related to the order, and using an optimal communication channel based on previous engagement rates with the customer over different communication channels. Once confirmation is received from the customer, the product is shipped, saving the sale.
Public/Granted literature
- US20210097483A1 MACHINE LEARNING TO PREDICT IMPENDING ABANDONMENT OF BOPIS ORDERS Public/Granted day:2021-04-01
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