AI support agent for industrial bread baking machines
Transforming industrial troubleshooting with an AI agent that analyses machine logs and documentation to eliminate downtime.
Verhoeven
Verhoeven, a leader in industrial bread baking machinery, sought to modernise their customer support process. Traditionally, troubleshooting these complex systems required extensive technical expertise and manual review of dense documentation, often leading to costly delays for bakeries.
When an industrial baking machine fails, every minute of downtime results in significant lost productivity and wasted ingredients. Customers faced long wait times for expert technicians to manually cross-reference machine configurations with historical log files and technical manuals to identify the root cause of mechanical or software issues.
What SevenLab built
In just seven days, SevenLab developed a custom AI support agent that integrates directly with Verhoeven's technical archives and real-time machine log data. Using advanced RAG (Retrieval-Augmented Generation) architectures, the agent provides instant, step-by-step troubleshooting guidance tailored to the specific machine's history.
Log file analysis
The AI automatically parses complex machine logs to identify anomalies and specific error codes instantly.
Technical RAG system
An intelligent knowledge base that queries thousands of pages of technical manuals to find precise solutions.
Configuration awareness
The agent recognises the unique hardware configuration and service history of every individual machine.
Instant troubleshooting
Provides immediate, actionable steps to operators, reducing the need for on-site technician visits.
Measurable business impact
The AI support agent has set a new standard for excellence in manufacturing support by providing instant, accurate technical assistance. By automating the analysis of documentation and log files, Verhoeven has significantly minimised customer downtime and maximised overall factory productivity.
The ability of the AI to understand the specific context of a machine's log files and match it with our technical documentation has completely changed how we support our customers. We can now resolve complex issues in minutes that used to take hours of manual research.
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