Patent · US Active

Data-driven machine-learning targeted engagement

US11436641B2 · kind B2 · utility

0Cited by
0References
11Claims
0Family size

Assignee

Inventor

Key dates

Filing dateApr 30, 2021
Grant dateSep 6, 2022
Priority date
Expiry dateApr 30, 2041

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N20/00
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A machine-learning algorithm is trained with features relevant to a visual/video analysis performed on subjects conducting transaction at transaction terminals. The algorithm is also trained on weather data known at the time of the transactions and on selective details of the transactions. The algorithm produces as output predictions relevant to: whether a given subject for a current transaction is likely to enter a store, likely items that the given subject might purchase if the subject were to enter the store and likely amount of money that the subject would spend in the store, an effectiveness of providing an incentive for the subject to enter the store, and what type of incentive would most likely entice the subject to enter the store.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.