Build a Decentralized Kirana Order Routing and Inventory Allocation Mesh
Aggregate hyperlocal grocery stock availability across independent small neighborhood merchants using Beckn protocol schemas. Allocate incoming consumer basket line items across multiple proximate shops to minimize fulfillment delays.
What you are building
The core problem, expected build, and operating context for this challenge.
Aggregate hyperlocal grocery stock availability across independent small neighborhood merchants using Beckn protocol schemas. Allocate incoming consumer basket line items across multiple proximate shops to minimize fulfillment delays.
Hyperlocal commerce network operator
Ingest real-time stock updates from mock Kirana shop point-of-sale feeds formatted as Beckn item catalogs.
Parse multi-item buyer shopping carts submitted through mock Beckn buyer applications.
Execute split-order optimization to partition items across nearby shops with verifiable in-stock quantities.
Generate synchronized on_select quote packets and pickup routing plans for local couriers.
Hyperlocal fulfillment monitor displaying consumer carts, store availability heatmaps, and route splits.
Generate synthetic Kirana store inventories across a 5km urban radius and mock buyer cart payloads. Starter examples below are synthetic. They are not downloaded records.
Beckn protocol specifications Adopts Beckn protocol ordering stage specifications (select, on_select, init, confirm) for multi-merchant split carts.
crewai, pydantic, fastapi. CrewAI facilitates specialized agent roles for merchant stock evaluation, route distance estimation, and quote reconciliation. Hosted Claude or local instruction model capable of multi-agent tool execution and deterministic JSON outputs.
Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.
Partitions multi-item basket into minimum number of merchant pickup stops.
Generates valid Beckn on_select quote responses containing item breakdowns and tax line items.
Handles stockouts by re-routing specific line items to secondary shops within a 2km radius.
```json [ { "input": { "buyer_location": { "lat": 12.9716, "lng": 77.5946 }, "cart": [ { "item_id": "atta_10kg", "quantity": 1 }, { "item_id": "mustard_oil_1l", "quantity": 2 } ], "nearby_stores": [ { "store_id": "kirana_1", "distance_km": 0.8, "inventory": { "atta_10kg": 5, "mustard_oil_1l": 0 } }, { "store_id": "kirana_2", "distance_km": 1.2, "inventory": { "atta_10kg": 0, "mustard_oil_1l": 10 } } ] }, "expected_output": { "routing_status": "SPLIT_FULFILLMENT", "allocated_routes": [ { "store_id": "kirana_1", "items": [ { "item_id": "atta_10kg", "quantity": 1 } ] }, { "store_id": "kirana_2", "items": [ { "item_id": "mustard_oil_1l", "quantity": 2 } ] } ], "total_pickup_stops": 2, "unfulfilled_items": [] } }, { "input": { "buyer_location": { "lat": 12.9716, "lng": 77.5946 }, "cart": [ { "item_id": "spices_turmeric_500g", "quantity": 3 } ], "nearby_stores": [ { "store_id": "kirana_3", "distance_km": 1.5, "inventory": { "spices_turmeric_500g": 1 } } ] }, "expected_output": { "routing_status": "PARTIAL_UNFULFILLED", "allocated_routes": [ { "store_id": "kirana_3", "items": [ { "item_id": "spices_turmeric_500g", "quantity": 1 } ] } ], "total_pickup_stops": 1, "unfulfilled_items": [ { "item_id": "spices_turmeric_500g", "shortage_quantity": 2 } ] } } ] ```
Demonstration environment only; no actual monetary debits, delivery dispatch, or retailer commitments occur. Use mock external writes. Require human review before any real deployment.
Participation guide
Demonstration environment only; no actual monetary debits, delivery dispatch, or retailer commitments occur. Use mock external writes and human review.
How work is evaluated
Partitions multi-item basket into minimum number of merchant pickup stops. Generates valid Beckn on_select quote responses containing item breakdowns and tax line items. Handles stockouts by re-routing specific line items to secondary shops within a 2km radius.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Ingest real-time stock updates from mock Kirana shop point-of-sale feeds formatted as Beckn item catalogs. Parse multi-item buyer shopping carts submitted through mock Beckn buyer applications. Execute split-order optimization to partition items across nearby shops with verifiable in-stock quantities. Generate synchronized on_select quote packets and pickup routing plans for local couriers.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Partitions multi-item basket into minimum number of merchant pickup stops. Generates valid Beckn on_select quote responses containing item breakdowns and tax line items. Handles stockouts by re-routing specific line items to secondary shops within a 2km radius.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Hyperlocal fulfillment monitor displaying consumer carts, store availability heatmaps, and route splits.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Demonstration environment only; no actual monetary debits, delivery dispatch, or retailer commitments occur.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Ingest real-time stock updates from mock Kirana shop point-of-sale feeds formatted as Beckn item catalogs.
Parse multi-item buyer shopping carts submitted through mock Beckn buyer applications.
Execute split-order optimization to partition items across nearby shops with verifiable in-stock quantities.
Generate synchronized on_select quote packets and pickup routing plans for local couriers.
Reference links and supporting material
Generate synthetic Kirana store inventories across a 5km urban radius and mock buyer cart payloads. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
crewAI
Multi-agent orchestration framework
Evaluated output
No output checks are configured.
- Ingest real-time stock updates from mock Kirana shop point-of-sale feeds formatted as Beckn item catalogs....
- Partitions multi-item basket into minimum number of merchant pickup stops. Generates valid Beckn on_select...
- Hyperlocal fulfillment monitor displaying consumer carts, store availability heatmaps, and route splits.
- 2 public reference cases
- 1 configured tool
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
View technical recipe
Configured tools
- crewAI · Optional
Evaluation contract
- Complete workflow · Weight 40
- Correctness and evidence · Weight 30
- Review interface · Weight 20
- Safe execution · Weight 10
Reference cases
- 2 public reference cases
Workflow tasks
No workflow tasks are configured.
Recipe freeze marker
No recipe freeze time is recorded.