Agent 09 · Retail
PriceSync Agent
Catches pricing errors across channels before customers or margins notice.
Narrow scope firstCommerceLangGraph
Found80
Fixed + verified80
Held for approval0
Recall1.00
One offline run on demo data with planted problems (recorded platform test, November 2026).
How PriceSync heals data, step by step
INData inKaggle PromptCloudHQ/flipkart-products
01Detect80 problems found
02Diagnose3 problem types named
03Plan80 safe to fix · 0 need a person
04Fix + verify80 fixed and re-checked
05ReportPlain-English report and Control Tower record
- Client problem
- Prices above MRP, below cost, or different on each channel cost money and trust.
- What it does
- Compares price to MRP, cost and other channels.
- How it heals
- Clamps prices to MRP, lifts below-cost prices to cost + 18% (capped at MRP) and syncs every channel to the master price.
- Human gate
- Below-cost changes need approval.
- Typical buyer
- Omnichannel retailers
- Built with
- LangGraph self-healing loop
- Demo data
- Kaggle PromptCloudHQ/flipkart-products (or synthetic catalogue) + synthetic competitor prices.
- Tables
- products ← Kaggle PromptCloudHQ/flipkart-products
- Target outcome
- Target: zero above-MRP listings.
- Path to production
- Reposition as price-integrity checking within margin rules.
Issues detected on the demo data
| Issue | Risk | Proposed fix | Count |
|---|---|---|---|
| price_above_mrp Selling price 1399 above MRP 1299 | low | Cap selling price at MRP (Legal Metrology rule) | 4 |
| below_cost Price 692 vs cost 866 | medium | Reprice to target margin (cost x 1.18, capped at MRP) | 5 |
| channel_mismatch website shows 987 vs master 1105 | low | Sync channel price to master | 71 |
How we demo it
- Load the product master.
- Run PriceSync.
- Show the channel price table before and after.
Built on AWS
Runs in the platform container on EC2 Graviton (or on demand in Lambda), writes healed tables to the S3 lakehouse, uses Amazon Bedrock only to write explanations, and reports six metrics to CloudWatch.
Step into DigiQuench.
Agents that heal your data.
Watch an agent find planted problems, fix the safe ones and wait for your approval on the rest. Thirty minutes, live.