Attaching who bought to what was bought, an anonymous demographic read of every transaction
Anonymous buyer-demographic estimates now cover 100% of transactions, with a 99.9% capture rate at checkout.
Transactions linked to anonymous buyer profile
Demographic data captured at moment of purchase
Months of continuous buyer demographic data on record
POS knew exactly what was bought, but nothing about who bought it
SeumTech is a retail technology provider powering hundreds of supermarket chains across South Korea with POS and store management solutions. Its systems knew exactly what was bought, but nothing about who bought it. There was no demographic layer on transaction data, no proof that checkout screens carried real ad value, and nothing to set the offering apart from competing POS vendors. Customer profiling was limited to membership card holders, leaving the majority of shoppers invisible.
An anonymous demographic was estimated on device for each transaction at purchase
SpaceVision deployed RetailVision at checkout across supermarket locations. The system estimates an anonymous age band and gender for each transaction at the moment of purchase, running entirely on device with no video stored and no personal information retained. The result is a continuous, non-biometric buyer demographic record that stays GDPR-aligned while attaching a demographic layer to POS data for the first time.
A demographic layer brought non-members into the data too
SeumTech built a verified, anonymous buyer-demographics layer covering its full customer base, including shoppers outside the membership program. 100% of transactions now carry an anonymous demographic estimate, with demographic data captured at the moment of purchase 99.9% of the time, and more than ten months of continuous buyer demographic data on record. POS data enriched with anonymous buyer demographics let SeumTech offer synthesized transaction and audience data to its retail clients, extending audience insight well beyond membership card holders.
Buyer demographics became a new baseline layer on POS data
Attribution reach
The full customer base, members and non-members alike, is read through anonymous demographics.
Data synthesis
Combined transaction and audience data is offered to retail clients.
Differentiation
Demographic data backs the ad value of checkout screens, setting the offering apart from competing POS vendors.