From fragmented signals to an explainable decision.
Six stages take Tillii from raw merchant data to a recommendation a merchant can understand, trust and act on.
Connect
Bring relevant business signals together — payments, CRM, POS, bookings, loyalty, marketing and operations.
Understand
Build a clearer picture of customer and commercial behaviour, rather than isolated snapshots from separate systems.
Predict
Identify likely risks and opportunities, such as churn risk, retention opportunity and revenue potential.
Recommend
Surface the action most likely to help, for each customer or segment.
Explain
Show the reasoning behind the recommendation, in language a merchant can understand and trust.
Learn
Use outcomes to improve future recommendations.
Predict → Explain → Recommend → Learn.
Predict
Understand what is likely to happen next — churn risk, retention opportunity, purchase propensity and revenue signals.
Explain
Show why Tillii reached that conclusion, in language a merchant can read, question and trust.
Recommend
Identify the most valuable next commercial action, ranked by expected impact.
Learn
Measure what happened and feed the outcome back into the decision engine.
See how this looks inside your business.
Pilot merchants help validate how Tillii connects, predicts, recommends and explains in a live hospitality environment.