Tillii
Join the Pilot Partner with Tillii
Platform

The intelligence layer for independent commerce.

Tillii sits above a merchant’s existing commerce stack, turning fragmented signals into explainable, ranked, commercially useful recommendations.

Architecture

From fragmented data to explainable action.

Conceptual view of how signals move through the Tillii platform.

01
Business Data
Payments, CRM, POS, loyalty, bookings, marketing and operational data merchants already generate.
02
Tillii Intelligence
The Tillii AI Engine brings fragmented signals together to understand what they mean for the business.
03
Explainable Recommendation
Every recommendation carries its reasoning, confidence and expected impact, in language a merchant can understand.
04
Business Action
The merchant reviews and acts on the recommendation.
05
Learning
Outcomes are measured and used to improve future recommendations.
Capabilities

Outcomes merchants can act on.

Every capability is designed around a business outcome, not a technical feature list.

Customer Intelligence

Understand customer behaviour across previously disconnected systems.

Churn Prediction

Identify customers at risk of disappearing before they are lost.

Customer Lifetime Value

Understand which customers are likely to deliver the greatest long-term value.

Next-Best Action

Recommend the most appropriate commercial intervention for each customer.

Revenue Opportunities

Surface commercially valuable opportunities merchants may otherwise miss.

Marketing Optimisation

Help businesses determine who to target, when, and why.

Behavioural Intelligence

Recognise changes and patterns in customer behaviour over time.

Explainable Recommendations

Make AI recommendations transparent enough for merchants to understand and trust.

Continuous Learning

Use the results of previous actions to improve future recommendations.

Business Performance Intelligence

Turn fragmented operational information into actionable commercial decisions.

In the product

Recommendations, with reasoning built in.

Every Tillii recommendation carries its own explanation, confidence and expected impact.

Recommendation detail — demonstration
Churn riskIllustrative recommendation
47 customers are likely to churn within 30 days

Recommended action: send a targeted weekend return offer within the next 72 hours.

47
customers at risk
+12%
expected repeat purchase uplift
Visit frequency has fallen against each customer's own recent baseline
Average order value has changed for this cohort
Comparable customer segments responded positively to similar reach-back offers
The Tillii Decision Loop

Predict, explain, recommend, learn — continuously.

01

Predict

Understand what is likely to happen next — churn risk, retention opportunity, purchase propensity and revenue signals.

02

Explain

Show why Tillii reached that conclusion, in language a merchant can read, question and trust.

03

Recommend

Identify the most valuable next commercial action, ranked by expected impact.

04

Learn

Measure what happened and feed the outcome back into the decision engine.

See the platform behind the recommendations.

Join the pilot programme to help shape Tillii as it moves from R&D toward commercial launch.