NIFU Intelligence Engine

From data,
to decisions.

Connects POS, payments, menus, Wi-Fi, reviews and loyalty into one Customer 360 profile, then tells you exactly what to do to grow lifetime value.

  • Customer 360
  • Predictions
  • Next-best action
Trust

Your data, and your customers' trust, are protected.

The Engine displays and recommends. It never overrides a merchant's own systems of record for balances, redemptions or payments.

Server-verified balances

Points, gift cards and money are always confirmed by NIFU. The phone never decides a balance.

Secure by design

HTTPS, secure token storage, masked gift-card numbers and no sensitive data in logs.

Rules you can see

Coupon eligibility, tiers and redemptions follow merchant rules, checked on the server.

Offline tolerant, never offline-risky

Recent balances, offers and orders stay viewable. Every redemption still needs server approval.

The problem

Six systems. Zero relationship.

Every tool sees a slice of the customer. None sees the relationship, so you know what sold but not why guests return, or why they stop.

POS

Knows the transaction

Payments

Knows the payment

Digital Menu

Knows what was viewed

Wi-Fi

Knows a device was present

Reviews

Holds sentiment, unconnected

Loyalty

Knows engagement, not experience

A typical CRM sees

12 visits, KSh 42,500 spent, last seen 21 days ago.

NIFU sees

Lifecycle stage, visit trend, price sensitivity, service sentiment, churn risk, next-best action and lifetime value.

The platform

One customer. One evolving profile. One intelligence layer.

Tap a layer to see what the Engine understands about every guest.

Who is the customer?

Identity resolution, contactability, consent, cross-location identity.

Behavioral states, never a claimed mood

The Engine cannot read anyone's feelings. It estimates observable behavior and always shows the evidence behind a state.

First visit in the last 30 days. Welcome journey is the priority.

NIFU Intelligence Engine · Customer 360
Illustrative guest profileCooling Off
Observed facts
  • Visits: 4/month down to 1
  • Offers unopened for 3 weeks
  • Wait time up on last 2 visits
Inferred signals
  • Churn risk: high
  • Recovery probability: good
  • Prefers loyalty rewards
Decision engine

From "what happened" to "what to do".

Step through how the same drop in revenue becomes an action.

Revenue is down 12%.

A fact, with no cause and no next step.

Marketing

Win-back, birthday and loyalty offers, send-time and channel selection.

Menu

Promote high-affinity items, fix high-view low-conversion dishes, spot bundles.

Operations

Flag service friction, wait anomalies and bottlenecks by outlet and shift.

Recovery

Trigger apologies, manager alerts and targeted incentives automatically.

Management

Explain revenue changes, compare venues, prioritize interventions.

Measurement

Closed-loop tracking of whether each action actually worked.

ROI estimator

What is a lapsing guest worth to you?

Adjust the sliders for a rough, illustrative view of monthly revenue at stake. It is a planning aid, not a guarantee.

Estimated monthly revenue recoveredKSh 0

See the mechanism behind every metric.

Book a walkthrough of the Customer Intelligence Engine for your business.