Machine learning to predict impending abandonment of BOPIS orders
US11620610B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 27, 2019 |
| Grant date | Apr 4, 2023 |
| Priority date | — |
| Expiry date | Feb 12, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0635
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.