JapanLogistics and transport2024 – ongoingJR West Customer Relations
Generative AI classification and analysis of customer feedback
JR West Customer Relations reduced weekly feedback-report preparation to about 30 minutes
Problem
Staff manually aggregated selected customer-contact records and transferred results into reports. Classification depended partly on individual judgment, limiting consistency and coverage.
Approach
JR West Customer Relations and ELYZA put a customer-feedback analysis package into operation. It used existing AI-generated summaries, automatically assigned tags and categories, and displayed results in dashboards. This supported weekly reporting and examination of inquiry trends.
Results
Takeaway
Consistent summaries supplied the input for a separate classification and reporting workflow. Weekly-report preparation fell from about 2 hours to about 30 minutes, according to ELYZA.
Categories
- Size
- Large enterprise
- Industry
- Logistics and transport
- Business function
- Customer service
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Partner co-development
- Evidence
- Vendor case study
Sources
Source summaries
ELYZA reported operational deployment of a feedback-classification package and dashboards. Weekly-report preparation took about 30 minutes compared with about 2 hours previously.
Full details are in the original sources.
