Dashboard

A
Admin User
admin@flipkart.com
↑ 18%
1,247
Active Nudges
↑ 24%
3.2%
Conversion Lift
↑ 12%
8.4M
Users Reached
↓ 3%
0.42
Avg. Fatigue Score
Conversion Performance
Agent Activity
Autonomy Tier Distribution
Channel Engagement
Campaign Orchestration
End-to-end campaign lifecycle managed by the AI agent
Campaign Type Autonomy Audience Channel Performance Status
Pending Approvals
AI-proposed actions requiring human review before execution
5
Pending Review
28
Approved Today
3
Rejected Today
Audience Cohorts
AI-generated cohorts based on behavioral data and intent signals
40
Active Cohorts
0
Total Users Profiled
65
Cohort Connections
Cohort Intelligence Network
AI-driven cohort relationships — 0 cohorts · 0 relationships mapped
—
—
—
—
—
Click to explore user behavior network
Strong similarity
Moderate similarity
Large cohort
Small cohort
Category colors
0 Cohorts
0 Relationships
0% Avg Similarity
User Behavior Network
Click a cohort node to explore user-level tracking data
0 Users
0 Actions
0 Connections
User
Product
Search
Page
Event
Direct action
Cart / Wishlist
User IDs are anonymized. Connections show shared tracking behavior that defines this cohort.

AI-Generated Cohorts

40 behavioral segments — matching the network graph above

A/B Testing & Self-Optimization
Automatic variant creation, traffic splitting, and winner promotion
Sequential Testing Results
Real-time performance monitoring with automatic winner promotion
Variant Performance
Statistical Significance
Compliance Enforcement
Pre-send validation pipeline — consent, frequency, content policy
99.7%
Compliance Rate
842
Blocked Today
0
Checks Run Today
Validation Pipeline Status
Recent Blocked Actions 842 today
Time Campaign Reason Users Affected Severity
System Analytics
Real-time monitoring, self-healing, and feedback loop metrics
98.4%
Delivery Rate
12.8%
CTR Average
0.12%
Unsubscribe Rate
847
AI Decisions / hr
Self-Healing Monitor All Systems Healthy
Feedback Loop Learning Active
Proactive Opportunity Detection 4 Opportunities Found
Agent Registry
Define, configure, and manage prompt-driven AI agents
8
Total Agents
8
Active
1
In Testing
0
Disabled
Agent Execution Pipeline Chain of Agents
Registered Agents
Click "Configure" to open Prompt Studio
Prompt Studio
Configure structured prompt fields for the selected agent
Role Required
Instructions Required
Tone & Language
Version History
Temperature Segmentation
Configure how the AI classifies users into Hot / Warm / Cold tiers based on behavioral signals
↑ 14%
1.20M
🔴 Hot Users · High Intent
↑ 6%
4.80M
🟡 Warm Users · Moderate
↓ 3%
6.80M
🔵 Cold Users · Low Intent
Current Distribution Last run: 18m ago
Signal Weights Scoring Model
Classification Rules
Nudge Strategy Matrix
Configure how the AI agent should engage each temperature tier
Agent Observability
Deep visibility into AI decision-making, performance, and anomaly detection
↑ 12%
847
Decisions / hr
↑ 3%
94.2%
Success Rate
142
Blocked Actions
3
Anomalies Detected
Decision Trace Viewer Real-time
Performance
Anomaly Detection
Automated pattern analysis and alerting
3 Active
Historical Decision Log Last 100 decisions
ID Timestamp User Action Reasoning Signals Outcome