mercari AI

Projects

How products use AI

  • Personalization

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    Personalization

    The personalization project aims to use many types of data at Mercari to provide content tailored to each of our customers at the right timing. The project presently involves building and improving a platform to control content displayed on the home screen. This kind of product evolution helps the customer be able to easily find the product or information they currently want.

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  • ML Platform

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    ML Platform

    Mercari built a platform to promote machine learning to make our infrastructure and computer resources operate efficiently. Our ML engineers carry out experiments and data processing efficiently and safely to give us the flexibility to quickly apply results to production.

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  • AI Listing

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    AI Listing

    C2C marketplaces face various challenges which differ from general e-commerce sites because customers buy and sell items from and to each other. On Mercari, sellers must handle the procedures for listing items themselves, such as taking photos, entering product descriptions, and setting prices. Because Mercari is a secondary market, no two items are exactly alike, including their conditions and prices. This makes it difficult for customers to research information and appropriate prices for the products they wish to list and complete the listing process on their own.

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  • Auto Content Moderation for Trust & Safety

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    Auto Content Moderation for Trust & Safety

    Mercari uses its machine learning-based Content Moderation System to monitor the listings and transactions conducted by more than 20 million monthly active users, contributing to a safer and more secure marketplace.

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  • Applying Uplift Modeling to Increase Customer Satisfaction and Streamline Marketing Efforts

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    Applying Uplift Modeling to Increase Customer Satisfaction and Streamline Marketing Efforts

    The Marketing Data Science team focuses on relationships with Mercari’s customers (including potential customers). Our goal is to create a better user experience and improve our business. The Marketing Data Science team designs wide variety of campaigns to increase customer engagement. Different customers have varied levels of interest in different campaigns. The main task of the Marketing Data Science team is figuring out how to inform each customer of the right campaign to increase customer satisfaction and further streamline marketing efforts.

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  • Improving Customer Support Productivity through Machine Learning

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    Improving Customer Support Productivity through Machine Learning

    We also provide information in the Mercari Guide to help customers solve problems on their own before contacting us. We are currently working to improve access to information so that customers can find the information they are looking for on their own, which improves the self-resolution rate.

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