From Seasonal Chaos to Same-Day Collections with GenAI-Powered Data Automation
Every season, dozens of supplier files must become ERP entries and e-shop content — manually
Every supplier sends Excel files in a different format, language, and structure, forcing staff to spend days reformatting, translating, and classifying data per supplier, per season. This manual bottleneck pushed products live days or weeks after launch, missing critical seasonal windows while competitors with faster workflows captured early demand. Manual handling also introduced wrong ERP codes and format inconsistencies that propagated downstream into e-shops and warehouses, and the process simply couldn't scale — adding a new supplier or e-shop meant adding headcount, not configuration.
LCM Go Cloud designed and deployed a GenAI-powered data automation platform on AWS, using Amazon Bedrock across two connected pipelines:
ERP Pipeline: Auto-detects any supplier Excel format; AI-powered translation from any language into Greek and English; classification and mapping to Shop & Trade's ERP taxonomy; Master Item, Variant, Barcode, and Cancellation files; Order Confirmation reconciliation.
E-Commerce Pipeline: Standardises ERP exports for e-shop compatibility; GenAI-generated bilingual product descriptions and SEO tags; image processing (rename, resize, reformat) per e-shop specification; automatic step chaining with zero manual re-uploads.
GenAI & AWS Foundation: Amazon Bedrock (Claude) for translation, classification and content generation; data encrypted at rest and in transit; role-based access; full audit trail of every AI interaction and transformation; CloudWatch observability, WAF, and S3 upload scanning.
What used to take Shop & Trade's team weeks of manual reformatting per supplier now happens automatically, same day — translation, classification, ERP files, and e-shop content, all from one upload, with zero manual bridging between systems.
LCM Go Cloud built a Bedrock-powered platform that turns raw supplier Excel files into ERP-ready data and e-shop-ready content in a single automated flow — cutting manual processing by over 90%.
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