Emails and PDFs, each decoded and entered manually. AI agents now propose materials and ship-to details; employees review, then approve.
A global specialty chemicals supplier operating across a complex product portfolio with diverse customers, order types, and requirements spanning multiple markets.
Customer orders arrived in inconsistent, unstructured formats, from emails to multipage PDFs with multiple line items. Employees had to interpret...
Producer of high-performance, specialized chemical products and solutions.
Provided SAP expertise & guidance to Synthomer for deploying AI agents and custom workflows.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Synthomer's Order processing is part of this use case:
Related implementations across industries and use cases
Sales reps manually interpreted unstructured email orders. Now, AI extracts product codes and validates data to trigger ERP workflows.
Buyers dug through 10-page PDFs across nine inboxes, comparing each to POs line by line. AI agents handle 90%+—only deviations reach buyers.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
Sales reps manually interpreted unstructured email orders. Now, AI extracts product codes and validates data to trigger ERP workflows.
Buyers dug through 10-page PDFs across nine inboxes, comparing each to POs line by line. AI agents handle 90%+—only deviations reach buyers.
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.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Emails and PDFs, each decoded and entered manually. AI agents now propose materials and ship-to details; employees review, then approve.
A global specialty chemicals supplier operating across a complex product portfolio with diverse customers, order types, and requirements spanning multiple markets.
Customer orders arrived in inconsistent, unstructured formats, from emails to multipage PDFs with multiple line items. Employees had to interpret...
Producer of high-performance, specialized chemical products and solutions.
Provided SAP expertise & guidance to Synthomer for deploying AI agents and custom workflows.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Synthomer's Order processing is part of this use case:
Related implementations across industries and use cases
Sales reps manually interpreted unstructured email orders. Now, AI extracts product codes and validates data to trigger ERP workflows.
Buyers dug through 10-page PDFs across nine inboxes, comparing each to POs line by line. AI agents handle 90%+—only deviations reach buyers.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
Sales reps manually interpreted unstructured email orders. Now, AI extracts product codes and validates data to trigger ERP workflows.
Buyers dug through 10-page PDFs across nine inboxes, comparing each to POs line by line. AI agents handle 90%+—only deviations reach buyers.
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.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.