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.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
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.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.