[Huawei Developers] muraliameakula:
How do users quickly find what they want when shopping online?

When users launch an e-commerce app and know what they want to buy, they’ll most likely perform a text, voice, or image search of the exact items they want to purchase. However, if the users do not know what they want to buy, they’ll most likely browse through products recommended by the app. Whether users are willing to make a purchase depends on their search experience in the first scenario and how well you know their preferences in the second scenario. This is why intelligent search and recommendation has become a critical feature in helping users quickly find what they want and thereby improving user retention and conversion.

Utilizing Petal Search’s fully open capabilities, HUAWEI Search Kit offers a one-stop solution for e-commerce apps to quickly and accurately recommend what users want, ensure an accurate and efficient mobile app search experience, and provide personalized search services through deep learning of user and product profiles. Search Kit also offers multi-language support for our ecosystem partners.

1. Quickly building an on-site search engine

Search by keyword

Search Kit equips your e-commerce app with capabilities such as popular search, auto suggestion, intelligent sorting, and search by category.

Currently, search by keyword is supported in 32 languages. It is available to e-commerce apps operating both inside and outside the Chinese mainland, and facilitates the deployment of Chinese e-commerce apps outside the Chinese mainland.

Search by image

When a user searches for a product using an image, Search Kit returns accurate and personalized results based on the image and the user's behavior profile.

Images that users use for product search are automatically reviewed and those that contain pornography, terrorism, politics, religion, illegal items, or vulgar content are automatically recognized and filtered out. Search Kit’s image filter function has currently been individually adapted for 30 countries and regions around the world.

Search by voice

Utilizing the automatic speech recognition (ASR) capability, Search Kit features voice input, search by voice, and an in-app voice assistant.

Currently, the following languages are supported: English, Spanish, German, French, Italian, Turkish, Russian, Arabic, Portuguese, and Chinese. Search by voice can also be tailored to local accents.

2. Intelligent on-site recommendation in multiple scenarios

By analyzing user search history and preferences, Search Kit recommends products to users and displays the search results intelligently. Recommended products are displayed on the home page, category page, product details page, and shopping cart page to help boost the order conversion rate.

3. Search solutions for e-commerce apps

Comprehensive hosting service: Offers easy data integration and operation, freeing you from having to invest resources into complicated data processing or deep learning modeling.

AI support: Provides powerful AI modeling support with Huawei's rich experience in intelligent product search and recommendation.

Data value optimization: Optimizes the value of structured data, non-structured data, and user event data.

Multi-scenario recommendation: Recommends products throughout the whole purchase process from browsing products on the home page, placing an order, to viewing the delivery status.

Customizable policies: Allows you to customize the search and recommendation policies by modifying relevant parameters.

Secure data and models: Ensures that the data and models generated for your app are isolated from those of other e-commerce apps and can be deleted anytime.

In summary, Search Kit provides e-commerce apps with end-to-end e-commerce solutions and cloud services, allowing you to quickly roll out your own e-commerce apps and create and configure resources in a matter of minutes.

Click here to learn more about Search Kit

To learn more, please visit:

HUAWEI Developers official website

Development Guide

Reddit to join developer discussions

GitHub or Gitee to download the demo and sample code

Stack Overflow to solve integration problems

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