Dashboard
Spend by Region
Spend by Category
Expiring Contracts
Top 10 Vendors by Spend
Contract Status Distribution
Spend Under vs Without Contract
All Contracts
Full contract inventory with search and filters
| ID | Contract Name | Supplier | Status | Category | Region | Effective | Expiration | Spend (USD) | Confidence |
|---|
Contract Hierarchy
Parent-child relationships, amendments, and vendor groupings
| Parent ID | Parent Contract | Child Contract | Supplier | Relationship | Confidence |
|---|
Spend Analysis
Region x Category spend breakdown
Spend by Region x Category
Spend by Spend Type
Contract Value vs Actual Spend
Expiring & Negotiated Contracts
Timeline of contract expirations and recent negotiations
Expirations by Year
Negotiations by Year
Contracts Expiring 2026-2027
| ID | Contract | Supplier | Expiration | Spend | Region | Category |
|---|
Vendor Concentration
Spend concentration and vendor analysis
Spend Concentration (Pareto)
Vendor Count by Category
Vendor Summary
| Supplier | Contracts | Total Spend | % of Total | Cumulative % | Regions | Categories |
|---|
Reinforcement Learning Loop
Model training status, Q-learning metrics, and active learning progress
📈 RL Agent Status
Model Confidence Over Rounds
Epsilon Decay (Exploration vs Exploitation)
Cumulative Reward
Corrections per Round
How the RL Loop Works
1
Predict
ML model classifies each contract into a category
2
Sample
Active learning picks lowest-confidence items for review
3
Label
Category managers confirm or correct predictions
4
Reward
+1 for correct, -1 for wrong. Q-values updated
5
Retrain
Model retrains, epsilon decays, policy improves
Label & Teach the Model
Review AI predictions and correct them. Sorted by uncertainty (most uncertain first).
Flags & Alerts
Automated risk detection and contract issues
| Severity | Flag | Contract ID | Supplier | Detail |
|---|