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.