Case Study: a leading Japanese fashion retailer automates multilingual VoC and VoS analysis with Dcipher Analytics

Leading Japanese Fashion Retailer Automates Voice of Customer Analysis with Dcipher Analytics

a leading Japanese fashion retailer faced challenges in manually analyzing its multilingual Voice of Customer and Voice of Store feedback. This process required significant full-time employee effort and struggled to efficiently extract deeper insights while adhering to strict internal data security policies that mandated the use of open-source models.

Dcipher Analytics implemented an AI-powered solution using fine-tuned open-source LLMs to automate the analysis. This provided the retailer with automated insights into pain points and new use cases, delivered via API. The results saved thousands of hours of manual work annually and provided faster, deeper insights for decision-making, strengthening the company's competitive edge.