In-store consumer behavior event metadata aggregation, data validation for data interpretation, and systems for artificial intelligence analysis and associated action triggering

摘要

Systems for in-store consumer behavior event metadata aggregation, data validation and artificial intelligence analysis for data interpretation, and associated action triggering are provided. The system may collect in-store consumer behavior event metadata from multiple consumer electronic devices and use a trained artificial intelligence analysis engine to provide various artificial intelligence insights that can further modify consumer behavior useful for such consumers. The trained artificial intelligence analysis engine may have a data interpretation controller configured to intelligently interpret this aggregated in-store consumer behavior event metadata and thus trigger an action that is electronically sent to the consumer electronic device. The data interpretation controller may have a data verification controller configured to randomly optimize data in a consumer product metadata database representing a plurality of consumer products according to availability and other metadata.