I am building a system that uses customer data, establishes their relevance for a HoReCa business from an awareness building and loyalty perspective and shows them free perks available at the business.
For this matching, the system uses public and access given customer data to create the following data points:
brand aesthetic alignment score Based on the businesses need (Discovery, Footfall, Increased AOV, etc), customers and perks are matched and shown to customers.
It shows
Our solution enables businesses and customers to deepen engagement by offering:
1) perks from businesses, tailored to customers' social and potential earrnings data, in exchange for digital word-of-mouth promotion
2) personalised perks by the business based on customers' frequency and spending data to reward loyalty and fuel business growth;
Dynamic Profiling, Dynamic Perks and Dynamic Rules
Differentiations - First Mover + UGC + Low Product Cost (due to AI)
What customer data can we get publicly and through consent to establish: What brand data can we get to assess brand needs: What should the logic be for customer to brand to perk matching? 