EqualizeEDResource fleet workspace
Local test mode

Editable testing environment

Enter real test records.
See every rule that decides a match.

Create surplus inventory and institutional needs, update either record, then run the transparent allocation engine. Nothing here selects recipients with an AI model.

View scripted showcase →
Inventory batches00 units available
Open need records00 learners waiting
Proposed transfers00 units reserved
Estimated value moved₹0Based on entered replacement values

Supply

Inventory records

Resources an institution has made available for redistribution.

Demand

Need records

Verified institutional requests—the unit of allocation is an institution, not an individual learner.

Deterministic output

Allocation proposals

Compatible records are scored with visible rules. Every transfer still requires human approval.

✓ Compatible type & tags✓ Policy & distance limits✓ Repair cost ≤ 35%✓ Stable score ordering✓ Human approval
Need a clean test run?

Reset restores the three sample resources and three sample needs.

Inventory intake

Add resource

Need intake

Add need