SynaBiz Implements 'ZETA RECOMMEND' Engine into its Online Wholesale Mall 'NETSEA'
ZETA Inc. has implemented its recommendation engine, 'ZETA RECOMMEND,' into SynaBiz's NETSEA, one of Japan's largest B2B wholesale marketplaces. This integration aims to enhance CVR and site navigation through personalized product suggestions based on user behavior.
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- 📰 Published: April 28, 2026 at 17:00
- 🔍 Collected: April 28, 2026 at 08:31
- 🤖 AI Analyzed: April 28, 2026 at 08:34 (2 min after Collected)
ZETA Inc. (Headquarters: Setagaya-ku, Tokyo; hereinafter ZETA), a provider of CX-improving Generative AI solution 'ZETA CX Series' that supports the enhancement of customer experience value, is pleased to announce that its recommendation engine 'ZETA RECOMMEND' has been implemented into the online wholesale and procurement mall 'NETSEA' operated by SynaBiz Inc. (Headquarters: Shinagawa-ku, Tokyo; hereinafter SynaBiz).
SynaBiz operates a distribution platform business in the B2B e-commerce sector under the philosophy of 'creating optimal transaction opportunities for customers around the world.' Its flagship online wholesale mall, 'NETSEA,' is one of Japan's largest web-based wholesale market platforms connecting suppliers (manufacturers, wholesalers, distributors) with buyers (retailers, online shops, exporters). Dealing in a wide range of goods, primarily apparel and general merchandise, it is used by numerous businesses with an annual transaction volume of approximately 8 billion yen.
With the implementation of ZETA's recommendation engine 'ZETA RECOMMEND' into NETSEA, product suggestions based on users' purchase and browsing history have been realized. This supports site circulation and contributes to improving CVR.
Key implementations include:
1. Product Detail Pages: Implementing functions to display products viewed by other users, such as 'People who viewed this item also viewed these items.' By presenting items highly relevant to the one being viewed, users can smoothly grasp similar or alternative products, aiding in efficient comparison and improved selection accuracy.
2. Top and Search Result Pages: Displaying 'Items Recommended for You' based on individual purchase and browsing history. This enables product suggestions aligned with the user's procurement trends and categories, streamlining the replenishment of standard items and the discovery of new candidates.
ZETA will continue to leverage its strengths in AI-driven data analysis to provide beneficial services to users and EC site operators.
SynaBiz operates a distribution platform business in the B2B e-commerce sector under the philosophy of 'creating optimal transaction opportunities for customers around the world.' Its flagship online wholesale mall, 'NETSEA,' is one of Japan's largest web-based wholesale market platforms connecting suppliers (manufacturers, wholesalers, distributors) with buyers (retailers, online shops, exporters). Dealing in a wide range of goods, primarily apparel and general merchandise, it is used by numerous businesses with an annual transaction volume of approximately 8 billion yen.
With the implementation of ZETA's recommendation engine 'ZETA RECOMMEND' into NETSEA, product suggestions based on users' purchase and browsing history have been realized. This supports site circulation and contributes to improving CVR.
Key implementations include:
1. Product Detail Pages: Implementing functions to display products viewed by other users, such as 'People who viewed this item also viewed these items.' By presenting items highly relevant to the one being viewed, users can smoothly grasp similar or alternative products, aiding in efficient comparison and improved selection accuracy.
2. Top and Search Result Pages: Displaying 'Items Recommended for You' based on individual purchase and browsing history. This enables product suggestions aligned with the user's procurement trends and categories, streamlining the replenishment of standard items and the discovery of new candidates.
ZETA will continue to leverage its strengths in AI-driven data analysis to provide beneficial services to users and EC site operators.