JapanChemicals and materials2024 – ongoingResonac Holdings Corporation
Multilingual product and contact search for sales teams
Resonac's sales chatbot reached 80% answer accuracy before internal rollout
Problem
Overseas sales staff struggled to locate Japanese product information and responsible departments. Experienced expatriate staff carried a disproportionate share of inquiry work.
Approach
Resonac began planning product and contact search in 2024. ABeam supported a six-month proof of concept using multilingual retrieval-augmented generation on Azure OpenAI. Following user testing, Resonac began internal deployment in September 2025.
Results
Takeaway
The chatbot addressed both language barriers and the search for product owners. The reported accuracy came from testing; avoided sales losses remained an expected benefit.
Categories
- Size
- Large enterprise
- Industry
- Chemicals and materials
- Business function
- Marketing and salesInternal work and knowledge management
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Partner co-development
- Evidence
- Vendor case study
Sources
Source summaries
ABeam reported 80% answer accuracy for Resonac's multilingual sales chatbot. A Resonac manager described internal rollout beginning in September 2025 after user tests exceeded the target.
Full details are in the original sources.
