U's Company Implements ZETA HASHTAG Engine on 'Hoseki Hiroba Online Store'

ZETA Inc., a provider of the 'ZETA CX Series' of generative AI solutions for enhancing customer experience, has announced the implementation of its hashtag utilization engine, 'ZETA HASHTAG,' on the 'Hoseki Hiroba Online Store' operated by U's Company.

Since its founding in 1963, U's Company has operated as a watch and jewelry specialist under the motto, 'Total Produce for customer satisfaction.' Its 'Hoseki Hiroba Online Store' is an e-commerce site linked to its Shibuya store, offering a selection of over 3,000 luxury watches and jewelry items.

With the introduction of 'ZETA HASHTAG,' the site aims to improve CX by enhancing the convenience of product discovery and promoting on-site navigation.

Specifically, a 'Search by related keywords' feature has been added to the top pages of the watch and jewelry categories. In addition to words describing product features and styles, tags expressing emotional value, such as 'classic,' 'perfect for gifts,' and 'recommended for men,' are now displayed. This allows users to search for products from a perspective that aligns with their usage scenarios and mood.

Example hashtags for the watch category include '#see-through-back,' '#classic,' and '#vintage,' while the jewelry category features tags like '#perfect-for-gifts,' '#simple-design,' and '#recommended-for-men.'

Furthermore, related hashtags are now displayed on product detail pages. Clicking a hashtag redirects the user to a product list page for that tag, which also shows other related hashtags. This enables users to continuously browse products aligned with their interests. The feature helps enthusiast fans find products matching their specific preferences and provides beginners with criteria for making purchasing decisions. It also creates new touchpoints for long-tail products that were previously difficult to find, contributing to improved inventory turnover for the entire e-commerce site.

ZETA stated it will continue to leverage its strengths in AI-powered data analysis to provide valuable services to users and e-commerce operators.