Buyers dug through 10-page PDFs across nine inboxes, comparing each to POs line by line. AI agents handle 90%+—only deviations reach buyers.
Denmark's largest wholesaler of steel and technical equipment, operating 25 stores, 4 central warehouses, and 6 business areas, supplying approximately 650,000 item numbers to more than 22,000 customers.
Each month, thousands of supplier confirmations arrive as emails and PDFs across nine shared inboxes spanning product categories from steel to...
Steel and technical wholesaler for industrial and construction sectors.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Lemvigh-Müller's Supplier order matching is part of this use case:
Related implementations across industries and use cases
Emails and PDFs, each decoded and entered manually. AI agents now propose materials and ship-to details; employees review, then approve.
Staff manually cross-referenced vendor emails across screens. Now, an AI agent summarizes order changes for one-click human approval.
Sales reps manually interpreted unstructured email orders. Now, AI extracts product codes and validates data to trigger ERP workflows.
Emails and PDFs, each decoded and entered manually. AI agents now propose materials and ship-to details; employees review, then approve.
Sales reps manually interpreted unstructured email orders. Now, AI extracts product codes and validates data to trigger ERP workflows.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.
Fragmented data and manual workflows slowed care. Now, AI helps staff optimize surgical scheduling and physicians diagnose rare diseases.
Buyers dug through 10-page PDFs across nine inboxes, comparing each to POs line by line. AI agents handle 90%+—only deviations reach buyers.
Denmark's largest wholesaler of steel and technical equipment, operating 25 stores, 4 central warehouses, and 6 business areas, supplying approximately 650,000 item numbers to more than 22,000 customers.
Each month, thousands of supplier confirmations arrive as emails and PDFs across nine shared inboxes spanning product categories from steel to...
Steel and technical wholesaler for industrial and construction sectors.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Lemvigh-Müller's Supplier order matching is part of this use case:
Related implementations across industries and use cases
Emails and PDFs, each decoded and entered manually. AI agents now propose materials and ship-to details; employees review, then approve.
Staff manually cross-referenced vendor emails across screens. Now, an AI agent summarizes order changes for one-click human approval.
Sales reps manually interpreted unstructured email orders. Now, AI extracts product codes and validates data to trigger ERP workflows.
Emails and PDFs, each decoded and entered manually. AI agents now propose materials and ship-to details; employees review, then approve.
Sales reps manually interpreted unstructured email orders. Now, AI extracts product codes and validates data to trigger ERP workflows.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.
Fragmented data and manual workflows slowed care. Now, AI helps staff optimize surgical scheduling and physicians diagnose rare diseases.