AI
How AI powers Mealtune
The agent's answers stay inside the constraints defined in your data. The platform is domain-agnostic and seamlessly plugable within your existing infrastructure.
AI agents operate on top of that, helping your customers find the right solution for their needs any time they need it.
Mealtune runs on a platform with two parts:
a model of each user, and a ranking layer over a catalogue.
a model of each user, and a ranking layer over a catalogue.
The profile shows when a customer disengages, and the agent acts before they leave.
1. Churn prevention
Your catalogue ranked for each customer inside your business constraints.
3. Personal recommendations
Signals per customer instead of cohort averages, readable by your team.alories, fiber, healthy fats, sugar, and more.
2. Customer analytics
to evolve your business
Three steps
LAYER ONE
One profile per customer
Gives an agent a clear understanding of each customer's preferences and needs. This layer prepares your data as the signals an agent operates on.
LAYER TWO
Signals to operations
An agent turns the signals from layer one into a recommendation based on the catalogue you have, so your customers get a proper solution any time they need your support.