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.
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.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
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.
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.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.