Your Data Starts Thinking For You.
Turn raw business signals into scored insights and next-best actions so your team stops drowning in dashboards and starts acting on what matters first.
Insights Engine
Real-time processing
Behavior signals
Always streaming
Tapito AI Core
Score. Interpret. Recommend.
Insight
Primary Category leads are up 22%, but Secondary Category conversion is lagging by 14% this week.
Recommendation
Trigger connected multi-category incentives for all active project leads.
Risk alert
3 branches show high revenue leakage in the Project Category B.
Business problem
Important patterns hide inside too much raw data for teams to catch consistently by hand.
What Tapito detects
Tapito scores anomalies, growth signals, churn risk, and margin movement across the retail engine.
What action it enables
Operators get prioritized recommendations instead of charts that still need interpretation.
How it works
A decision pipeline that turns noise into action.
Step 01
Data
Sales, customers, inventory, pricing
Step 02
AI scoring
Patterns ranked by confidence and value
Step 03
Insights
What changed, where, and why it matters
Step 04
Smart Reminders
Automated instructions sent to your staff for immediate action
Portfolio Intelligence
The Pulse of Your Retail Health.
Tapito aggregates thousands of signals into a single, unified Health Score. Instantly see which branches are thriving and which need immediate operational intervention.
84
Overall Health Score
Branch 04
Critical
Inventory
Optimal
Business impact
Measured lift from always-on machine intelligence.
98.4%
Insight confidence
AI confidence scores across 40+ indicators
-95%
Manual analysis time
Reports delivered instantly via pipeline
+12%
Profit readiness
Margin improvement via anomaly detection
What Happens After You Enable This Feature?
Before Tapito Intelligence
Reactive guesswork
Manual dashboard diving
Hidden revenue leakage
Slow response to market shifts
After Tapito Intelligence
The Business Health Score gave us one number to rally our team around every week.
— CEO, Large Format Retail