From an upselling perspective, we recommend various products and use detailed product tag values to show trend keywords or use them in special exhibitions. Thanks to OMNICOMMERCE.
- BABATHE.COM, Tae-eun Kim -
Problems the company wanted to solve
- They wanted to systematically manage the attributes of branded products and create upselling opportunities through personalization.
Results after integrating Automated Product Tagging
- Improved the search system through accurate and detailed fiters.
- Provided trend keywords for search using product attributes.
- Enabled the operation of various hyper-personalized programs.
Point 1. Improved the search system using accurate and detailed filter values.
One of the roles of merchandisers is to manage filters. However, when filters are managed manually, work efficiency and performance tend to be inefficient. Babathe.com’s filters were also manually managed by the merchandisers, which made it time-consuming and inconsistent. To solve this problem, they’ve integrated the Automated Product Tagging solution, and as a result, they improved the overall search system using accurate and detailed filter values.
- Maximized work efficiency by minimizing manual tasks.
After automating product tagging jobs, they significantly reduced the time and resources spent on managing filters. The solution helped them resolve key problems of manually tagging products and therefore reduced the burden for merchandisers.
- Filter and search system improvement.
Attributes and filter values have become extremely detailed and consistent through AI-based tagging and thus were able to build a search system that improved both search accuracy and customer satisfaction using accurate and detailed filter values.
Point 2. Created trend keywords using product tags.
Babathe.com focused on providing product recommendations to improve customer experience during the expansion and strengthening phase of their D2C mall. To create more upselling and cross-selling opportunities, they’ve designed the system in a way that customers can receive various product recommendations. Providing trend keywords using automatically extracted product attributes was one of their strategies.
- Recommendation solution powered by product tags.
Detailed product tags were extracted from automatically tagged data, which enabled Babathe.com to execute an effective recommendation strategy. Using accurate product tags, they’ve introduced trend keywords and made attractive offers such as providing trend reports.
Point 3. Ran hyper-personalized programs
Babathe.com is a total-care AI platform focused on personalization that has introduced sophisticated personalization programs based on big data. The core of this personalization is the massive amount of data processed by automatic tagging of product attributes. Babathe.com provides fully personalized UI/UX based on accurate and detailed data and runs various personalization programs.
- Babathe.com’s unique way of operating personalization programs
Babathe.com has been effectively operating various personalization programs using sophisticated and extensive product tagging data. Their main personalization solutions are ‘Baba Care Friend’ where AI personal shopper recommends products according to customer lifestyles and ‘Baba ON’ which improves the quality of shopping with customized content tailored to customer preferences.
