root@mindgraph:~# cat case-studies/multi-retailer-po-to-production-erp-rpa.md
Multi-Retailer PO-to-Production ERP RPA Layer
DOCUMENT: Multi-Retailer PO-to-Production ERP RPA Layer
INDUSTRY: Manufacturing
PROJECT: Order-to-Production Automation
CLASSIFICATION: CASE STUDY // PUBLIC RELEASE
SUMMARY:
Normalizing every retailer's idiosyncratic purchase-order format into one standard schema before it touches production.
DETAIL:
Per-retail-chain transformation modules decode encoded descriptions, roll up diamond weight, resolve lookup codes, and punch orders directly into the manufacturer's system with production bags auto-generated on acceptance.
IMPACT:
CLIENT REVENUE: $180M jewellery manufacturer
08 / MANUFACTURING / ORDER-TO-PRODUCTION AUTOMATION
Client: Jewellery manufacturer, $180M revenue
Tags: Manufacturing · Jewellery · RPA · ERP Integration · Order Automation
// Problem
Every major retail chain the manufacturer supplied sent purchase orders in its own idiosyncratic format: attributes like size, finding, and stone-setting encoded inside free-text descriptions rather than their own columns, diamond weight and piece data split across separate line-items that needed manual rolling up to the right SKU, and retailer-specific code tables for tone, stamping, and certification that had to be looked up by hand.
// Our Solution
A central engine that normalizes every retailer's order format into one standard schema before it ever touches production. A dedicated transformation module per retail chain decodes that chain's encoded descriptions, rolls up nested diamond weight and piece counts onto the correct SKU, and resolves tone/stamping/certification codes automatically via lookup tables — with documented rules for reconstructing attribute data that's missing rather than kicking every irregularity to a human. Once normalized, the order is punched directly into the manufacturer's system and a production bag is generated the instant the order is accepted.
// Technical Details
- Per-retail-chain transformation modules, each mapping that chain's raw Excel/JSON export into one standard order-import schema
- Regex-based extraction of encoded product attributes (size, finding, stone-setting flags) from free-text descriptions
- Diamond weight and piece-count roll-up: nested stone line-items summed and merged onto their parent SKU row by work-order serial
- Lookup-table-driven resolution of tone, stamping, and certification codes per retailer's article-code conventions
- Documented exception-handling rules reconstructing missing attribute segments in batch numbers rather than failing the row
- Automatic client-code, book-name, and auth-header routing per retailer into the manufacturer's order-import API
- Automatic production-bag generation triggered immediately on a successful order punch