Decision Intelligence

You know ‘what’ happened.
Do you know ‘why’?

How Graas reasons through every decision.

Business Question

A scheme underperformed

Connected Signals

Gather data across all channels

Root Cause

Find contributing factors

Recommended Actions

Actions to improve adoption

👤
BUSINESS QUESTION "How can I improve Q2 retailer scheme utilization?"
✓ Question Understood
STEP 1

Business Context

Scheme Utilization
48%
Retailer Coverage
62%
Field Visits
Low
Inventory
Healthy
Product Complaints
High on SKU-214
Competitor Activity
12% Cashback Campaign
STEP 2

Root Cause

Low retailer coverage across Tier B outlets
CONTRIBUTING FACTORS
• Low visit frequency • High complaints on SKU-214 • Competitor campaign in the South Region

Recommended Actions

✦ PRIORITY 1

Increase retailer visits across Tier B outlets

PRIORITY 2

Pause SKU-214 from the scheme until complaint rates improve

PRIORITY 3

Launch a counter-scheme in the South Region

Expected Outcome → ↑ Higher Scheme Utilization

Why enterprise decisions need connected intelligence.

VS

Without Graas

✕Switch between reports
✕Investigate manually
✕Decisions rely on experience
✕No clear direction
✕Days to analyze

With Graas

✓Market intel and internal systems interconnected
✓Auto-triggered on anomalies
✓Recommendations backed by context
✓Prioritized actions
✓Decisions in minutes

Business Outcomes

2 days → 15 min

Root Cause Analysis

From days of investigation to root cause in minutes.

+25–35%

Scheme Utilisation

Targeted actions on the right SKUs, regions, and tiers.

Prioritised

Action plan

Highest-impact actions picked first, not guessed.