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Customer personalization

Make each customer interaction more relevant.

One-to-one personalization, in the moment.

The system picks the next offer, message, channel, and timing for each customer — or holds back — inside your goals and guardrails.

interactive — pick a person to run their decision

What the engine sees

Winter gear left in the cart
Usually shops in the evening
Opens app notifications

Decision engine

per person · in real time

What this person gets

App notification

18:40

Your winter bundle is waiting

The gear from your cart — 15% off until midnight.

Same engine, three different calls — offer, channel, timing, and whether to message at all. Demo profiles.

The system, state by state

  1. SignalCustomer behavior and current context, per person.
  2. ContextYour goals, guardrails, and eligible actions.
  3. RecommendationThe next offer, message, channel, and timing — or no action at all.
  4. ActionThe experience adapts as the customer interacts.
  5. ReviewYour team tunes goals and guardrails against results.

From business case to production.

We assess the decision, design the system, build it into production, and operate it — scope and price agreed before each stage.

Assess → Architect → Build → Operate and transfer

People define the objective, policies, thresholds, and exceptions. CoreTech systems forecast, recommend, or automate within those boundaries. Low-confidence and high-impact cases return to people, and actions remain traceable.

On your infrastructure or in a secure cloud approved for the engagement, depending on architecture and governance requirements.

Tell us what you want to improve.