DecisionGrid AI

AI-powered Next Best Action Engine for MTS Engagement & Retention

PoC Demo Mode
Synthetic Financial Behavior Data
11–12 Week Deployment

From customer signals to revenue actions.

Most CRM systems tell what already happened. DecisionGrid AI predicts user intent, decides the next best action, executes it, and learns from the result.

Demo Scenario

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User SHN_10293 — Minh, 34

Retail investor · Medium risk appetite · 8-month account age

Interest: banking stocks, defensive assets, fixed-income products

Trading frequency drop-100%
Login frequency drop-80%
Still reading defensive contentActive signal
Churn Risk
78%
High risk detected
Engagement Score
31/100
Sharp decline
Trade Orders
0
Last 14 days
Recommended Timing
8:15
Before market open

Behavior Timeline

Login frequency5/week → 1/week
Session time8 min → 2 min
Trade orders9 → 0
Push response42% → 0%
Content signalDefensive market

AI Reasoning

78%Churn Risk
Login frequency dropped by 80% in the last 14 days.
No trading activity despite previous monthly trading pattern.
The user ignored 3 recent generic push notifications.
The user still reads defensive investment content — not lost, but hesitant.

Next Best Action

Recommended Action

Send a personalized defensive-market insight before market open via push + in-app message.

“Markets are moving cautiously this week. Based on your recent interest in banking stocks and stable-income products, here are 3 low-volatility opportunities to watch before the market opens.”
View today’s defensive portfolio ideas →
Action executed. User responded.

Push opened in 4 minutes · In-app insight viewed · Watchlist updated · Churn risk lowered from 78% to 52%.