How Ably used the ‘Product Attribute Tagging Automation’ solution to improve work and shopping efficiency.

AriBaek / Content Marketer -

OMNICOMMERCE enabled us to standardize product attributes and optimize our filters. Visual Recommendations also improved our app usability significantly.
- ABLY CEO, Sukhoon Kang -

Problems the company wanted to solve

  • Improve their erroneous and unintuitive product catalog.
  • Solve inefficiency arising from simple repetitive tasks.

Results after integrating the Automated Product Tagging solution

  • Strengthened their search engine by providing sub-divided filters to their category.
  • Improved work efficiency by replacing simple repetitive work with OMNICOMMERCE.

A rapidly growing mobile shopping application, Ably was struggling to create an optimal online shopping experience for its customers. With a dramatically increasing number of listed products on their shopping platform, this e-commerce retailer was demonstrating the potential to be considered a unicorn in the industry.

Point 1. Added sub-divided filters to their category.

Initially Ably didn’t provide filters on their app, which made it difficult for customers to find the products they wanted, resulting in a high bounce rate. Despite the problem, due to the lack of data, it was difficult for them to even implement simple filters like color and length. This increased dissatisfaction among customers and sellers because, except for a very small number of popular products exposed on the main page, it was difficult to buy/sell other products. To solve this problem, Ably started by improving its filter system.

  • Automatic product tagging using Management API

They tagged attributes and automatically analyzed over 800,000 product images using OMNICOMMERCE, and have built data with very few product attribute errors.

  • Provide various filters including style, fit, shape, detail, and more.

Ably added a filter functionality within their category based on accurate attribute values, which enabled customers to find the products they want quickly.

Point 2. Minimized simple and repetitive tasks, and improved product recommendation accuracy.

For e-commerce without automated tagging, the only option is to perform tasks manually, which was Ably’s case. After successfully automating using OMNICOMMERCE, their work efficiency has significantly improved.

  • Provide real-time metadata

Before using OMNICOMMERCE, Ably directly asked sellers to provide product metadata to include more tags on the product list. They built a real-time metadata registration system using our solution.

  • Improve product recommendation accuracy
    After automating tagging, there were no more instances of data being incorrect or lost. Previously, there were many cases where unrelated products were recommended due to incorrect attributes. With accurate data, it became possible to recommend products based on users’ preferences.