For all the analysis of data gleaned from a customer's purchase history and shipping patterns at grocery stores, I wonder what they can devine from the absence of assignable customer data, where a customer enters with phone in airplane mode and radios off, uses a loyalty card paused to fictitious data recycled semi-annually, and pays in cash only-ever, and cycles between various grocery stores so there's less of a rigid purchase pattern across store receipts. Lost/discarded background noise, or the data void that reveals itself.
Comments
For all the analysis of data gleaned from a customer's purchase history and shipping patterns at grocery stores, I wonder what they can devine from the absence of assignable customer data, where a customer enters with phone in airplane mode and radios off, uses a loyalty card paused to fictitious data recycled semi-annually, and pays in cash only-ever, and cycles between various grocery stores so there's less of a rigid purchase pattern across store receipts. Lost/discarded background noise, or the data void that reveals itself.