IndiaManufacturing2025 – ongoingApollo Tyres
Manufacturing Reasoner agentic tool for curing-press root-cause analysis
Apollo Tyres cut curing-press root-cause analysis effort by about 88% with an agentic AI tool
Problem
Plant engineers spent hours tracing why dry cycle time rose on automated curing presses. Each press has more than 25 subelements to check.
Approach
Apollo built the Manufacturing Reasoner with AWS on Amazon Bedrock Agents. Engineers ask questions in natural language and get charts, statistical process control views and root-cause pointers, plus real-time and daily alerts. It was piloted and then scaled to three plants and more than 250 curing presses. Apollo planned to extend it to other areas.
Results
Takeaway
The post gives both a 7-hour and a 2-hour baseline per issue, so the size of the time saving depends on which one is used.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- AI agentsGenerative AI
- Adoption
- Partner co-development
- Evidence
- Vendor case study
Sources
Source summaries
AWS and Apollo describe an agentic assistant on Amazon Bedrock for curing-press analysis. It reports under 10 minutes per issue, an 88% effort cut and a targeted saving of INR 15 million a year, with use at three plants.
Full details are in the original sources.
