📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Shoppar: Dynamically Optimised Digital Content

Lead Participant: SHOPPAR LTD

Abstract

Shoppar empowers retailers with live customer data, via privacy-centred facial analytics, to help brands deliver dynamically modified marketing messages in-store, providing actionable and insightful data regarding customer response to digital signage. Shoppar are an established provider, selling this service to several major brands in the UK.

Innovate UK funding brings together a sector leading partnership of Shoppar and Bournemouth University, to twin Shoppar's existing facial analytics technology to an algorithm to then 'tailor make' digital adverts or other media for the specific demographic or mood of the customer.

The funding will support British based high-tech business Shoppar, to develop and deploy their technology globally, within this lucrative market.

Note: The Shoppar technology is fully compliant to the General Data Protection Regulations (GDPR) and is not a face identification technology. It cannot and will not identify or verify a person's identify, nor link images to a faces dataset. All algorithms collect aggregated data which only identifies patterns of behaviour -- no images or videos are stored.

Lead Participant

Project Cost

Grant Offer

SHOPPAR LTD £354,854 £ 248,398
 

Participant

BOURNEMOUTH UNIVERSITY £120,045 £ 120,045

Publications

10 25 50