1. Overview (Project Background)

This project was promoted with the purpose of improving the accuracy and usability of search experience,
and further providing generative AI-based customized customer recommendation experience (CX).

In the existing keyword search environment, the relevance between search terms entered by users and actual products was not sufficiently reflected,
for example, even with clear keywords like "milk", there was a problem where related products were not accurately exposed.

Additionally, beyond simple keyword input,
there were limitations in responding to complex natural language-based requests such as
"Recommend a gift over 100,000 won for my parents" with existing search and recommendation methods.

Accordingly, this project was promoted with the following directions as the focus.

• Improving the accuracy of keyword search results

• Securing natural language-based search and recommendation capabilities

• Establishing a CX foundation that can be expanded to multimodal generative AI-based personalized recommendations in the future

2. Solution (Resolution Method)

In this project, we simultaneously strengthened keyword search and natural language search,
and designed and implemented a structure for automatic recommendation message generation using generative AI based on this.

Key Resolution Methods

• Advanced Keyword Search

  • Strengthening the relevance between search terms and actual product attributes

  • Improving so that when a specific keyword is entered, products that match the intent are accurately exposed

• Introduction of Natural Language Search and Recommendation Features

  • Understanding requests in natural language form,

  • Providing natural recommendation responses by synthesizing key information such as price, discount rate, and product name

• Automatic Recommendation Message Generation

  • Automatically generating recommendation phrases that match user requests using generative AI

  • Securing a structure that can be expanded to multimodal generative AI (text, image, and context-based recommendations) in the future

Through this,
the goal was to transition from "search that finds products" to "recommendations that understand intent and propose".

3. Result (Achievements)

Through this project, we have secured the following achievements in the search and recommendation areas.

Improvement of Keyword Search Results

• When searching for clear keywords like "milk",
  improved to accurately expose milk-related products compared to before

Securing Natural Language Search Capabilities

• For complex natural language requests such as "Recommend a gift over 100,000 won for my parents"

  • Product name

  • Price

  • Discount rate
    Able to provide natural recommendation responses including key information

Establishing Foundation for Enhanced Customer Experience (CX)

• Comprehensively strengthened keyword search and natural language search

• Through automatic recommendation message generation functionality,
  secured the technical foundation for providing customized customer recommendation experiences

• Completed a structure that can be expanded to multimodal generative AI-based recommendation messages and personalized services in the future