Zest uses transaction data and AI to rethink restaurant discovery
Zest’s launch shows a consumer AI angle for local discovery: recommending restaurants based on where people actually spend money and eat, not just reviews.
Restaurant discovery is crowded with reviews, lists and influencer recommendations. Zest is betting that actual transaction behaviour can create a better signal for where people really like to eat.
What happened
Zest launched a restaurant discovery app powered by transaction data and AI. The company uses spending patterns and other signals to recommend restaurants based on real behaviour rather than only ratings or wishlists.
Why it matters
Consumers often struggle to separate useful recommendations from noisy review platforms. If transaction data can improve relevance, it could create a more practical discovery experience for restaurants, diners and local-commerce platforms.
The bigger picture
Consumer tech is moving toward more data-driven personalisation. Apps that combine real-world behaviour with AI could create new discovery models in food, travel, shopping and local experiences.