Synthomer
Order processing
Emails and PDFs, each decoded and entered manually. AI agents now propose materials and ship-to details; employees review, then approve.
- 98% first-time material match rate in beta
- Potential 12x faster order processing
Hundreds of thousands of requests buried in email inboxes. Joule agents now route, classify, and draft replies — teams handle more, faster.
A global food ingredients company serving 100,000 business partners across 160+ countries, with 50+ production sites handling hundreds of thousands of service requests annually.
Nearly all of these requests were routed through personal and loosely structured group email inboxes rather than a structured system, making case...
Manufacturer of natural ingredients and systems for the food and beverage industry.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Döhler's Service management 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.
Sales reps manually interpreted unstructured email orders. Now, AI extracts product codes and validates data to trigger ERP workflows.
Previously, agents manually handled all simple info requests—30% of contacts. Now, an AI agent resolves these queries automatically.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
Manual order entry caused pricing errors and billing disputes. Now, an AI agent flags discrepancies and drafts client emails for staff.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Rigid "press 1" phone trees bottlenecked global support. Now, localized AI agents guide complex step-by-step blind installations.
Hundreds of thousands of requests buried in email inboxes. Joule agents now route, classify, and draft replies — teams handle more, faster.
A global food ingredients company serving 100,000 business partners across 160+ countries, with 50+ production sites handling hundreds of thousands of service requests annually.
Nearly all of these requests were routed through personal and loosely structured group email inboxes rather than a structured system, making case...
Manufacturer of natural ingredients and systems for the food and beverage industry.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Döhler's Service management 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.
Sales reps manually interpreted unstructured email orders. Now, AI extracts product codes and validates data to trigger ERP workflows.
Previously, agents manually handled all simple info requests—30% of contacts. Now, an AI agent resolves these queries automatically.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
Manual order entry caused pricing errors and billing disputes. Now, an AI agent flags discrepancies and drafts client emails for staff.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Rigid "press 1" phone trees bottlenecked global support. Now, localized AI agents guide complex step-by-step blind installations.