Opportunity identification
Opportunity identification

Improve portfolio performance in the dining category



CX impact

Consumer, Enterprise

Implementation level


The bank’s dining portfolio saw low engagement. They needed to improve identify their customers’ dining tastes to improve recommendations.’s proprietary algorithms predicted customer dining tastes based on several parameters and tags.

  • Type of restaurants the customer visits, i.e. food
  • Preferred cuisine type,i.e. North Indian, Chineseor Italian
  • Frequency of transactions on dining, i.e.weekly,bi-weekly, monthly, occasionally
  • Time, i.e.weekdays,weekends or holidays
  • Location, i.e. online, dine out, city

Customer proof

For a leading bank in India

identified 1.1 Mn

customers with tastes of premium diners but use their cards only occasionally for dining

sized an opportunity for ~130Mn USD

in incremental revenue and 4% to 8% spike in dining spends if these customers were incentivized

Speak to our AI-personalization experts today

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