The challenge
Paper mills face fragmented information across disconnected systems and inaccessible technical documentation. Operators struggled with data scattered across spreadsheets and filing cabinets, thousands of pages of equipment manuals with limited searchability, and complex questions requiring synthesis from multiple sources.
What we did
MillMind™ deploys Claude as the core reasoning engine across three integrated workflows: conversational AI for natural dialogue with operators, document intelligence that synthesises equipment manuals using a RAG pipeline, and natural language analytics that converts spoken queries into database commands and delivers actionable insights.
Results
- +60–80% of mill staff using the platform daily within 90 days
- +400–700 queries per day with 85%+ daily return rate
- +Equipment specification lookup reduced from 30–60 minutes to under 1 minute
- +Production analysis reduced from hours to under 2 minutes
- +4.3/5.0 user accuracy rating with less than 5% queries requiring human escalation
“MillMind transformed how our operators access information. What used to take 30 minutes of manual searching now takes seconds — and the answers are more accurate.”
— Operations Head, JMC Paper Tech Pvt. Ltd.
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