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Keynote Shunya kimura Mercari / Vice President, CTO Japan Business

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Shunya Kimura ・2017/9 establishing R4D, Mercari’s research ・2022/7 Vice President of Platform Engineering ・2024/7 Vice President, Chief Technology Officer (Japan Region), General Manager (Japan Region Platform) ・2025/3 Vice President, Chief Technology Officer (Japan Region) ・2025/7 Vice President, CTO Japan Business Mercari / Vice President, CTO Japan Business

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From 2018 to the present

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Since 2018 to the Present of Mercari Group ● 出来事 ○ 2017年11月:メルペイ設立 ○ 2018年10月:英語化(グローバル新卒メンバー 44名入社) ○ 2019年2月:メルペイリリース ○ 2021年4月:メルコイン設立 ○ 2021年10月:メルカリShopsリリース ○ 2023年3月:ビットコイン取引サービス提供開始 ○ 2024年3月:メルカリ ハロリリース ○ 2024年3月:メルカリモバイルリリース ○ 2025年1月:メルカリNFTリリース ○ 2025年9月:グローバルアプリリリース

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“We will fundamentally transform our organization and products, with AI as the foundation for everything.” – Shintaro Yamada CEO of Mercari

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Why Go AI-Native Now?

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Solid Achivements

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Current Status: Solid Achievements 95% Engineer AI Tool Adoption rate ≒70% Code Generation by AI tool 64% UP Development Speed (YoY)

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But We're "Just Getting Started" However, we don’t consider this state to be “AI-Native” This is where the real transformation begins.

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Paradigm Shift “Human-Centric” to “AI-Centric” Human-Centric Based on human limitations (time, focus, processing power) ● 8-hour workday ● 2-day weekend ● 7-person teams ● weekly meetings AI-Centric Based on vision and value propositio Rebuilding Optimal: ● systems ● teams ● roles based on value

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The AI-Native Worldview

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AI as a Creative Partner AI is a creative partner and a team member, driving us toward our mission. この画像はこだわりな い

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What’s Important Before Becoming AI-Native

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The Most Critical Prerequisite for AI-Native Transformation “Knowledge Management” The key to making AI work is providing the right context.

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Why is “Context” is so important? AI Agent ? Low quality output Rework (time lost) Context AI Agent High quality output Effective utilization Without Context With Context background, decision logs, etc.

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The Most Important Context: Decision Information Without information like "What is the project's goal?" or "What is permissible?", AI accuracy won't improve. Slack Decision Making Information Docs JIRA Confluence

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Our Approach Discussion Minutes Structure Database Actionable context for AI AI Agent Stronger alignment between top-down and bottom-up Accelerated company-wide decision-making “Structuring Tacit Knowledge”

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AI-Centric Development

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AI-Centric Development: Current Challenges Inconsistent Prompt Quality Varying degrees of AI utilization among individuals Gathering Context Inability to find or provide the right information Quality of Generated Code Increased review costs and bug risks Lack of regulations for AI usage leads to inconsistent quality across teams and individuals.

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Agent-Spec Driven Development (ASDD)

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Project Double Agent-Spec Driven Development (ASDD) Enables anyone to achieve high-quality, reproducible development through specs optimized for AI Agents.

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What is ASDD? ASDD is More than Just a Spec

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What is ASDD? To make the entire team's implementation a reproducible process. API Definitions Data Models Process Flows Test Scenarios Implementation Steps Service Spec Dependencies Architecture Prompts

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Scope of ASDD ASDD: Orchestrating End-to-End Development with AI Agents Devlopment ● Backend ● Web ● Mobile ● UI Design Quality Assurance ● Auto QA ● Test case ● AI Review GRC ● Risk ● Compliance ● Legal Review ● Security Check ● CS

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Overview of ASDD Assets PRD Figma UI Codebaase Double Planning Requirements Short Agent Spec Double QA Test Cases PJ Aurora UI Double Client Agent Spec (Client & FE) Implementation (Client & FE) Double Backend Agent Spec (Backend) Implementation (Backend) Double QA Test Implementation Double QA test Implementation Release PJ Double

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What is ASDD? Project Aurora

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Project Aurora Automatically generate UI from Agent Specs ASDD Prompt Aurora Agent Auto-generated UI using our Design System

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The Value of ASDD Vibe Coding Agentic Development ● Handle more tasks ● Enable rapid trial and error ● Focus on solving difficult problems ● Focus on customer value

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The Ultimate Form of Customer-Centricity Being AI-Centric is the ultimate form of being Customer-Centric なにか画像が欲しい な。。。

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AI Task Force

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AI Task Force Drives Company-wide AI Transformation Challenge Speeding up the development process alone does not improve the overall time-to-release.

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AI Task Force We need to make all company-wide workflows agentic. Development [WAIT] Legal Review [WAIT] PR Review [WAIT] Security Review Release

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AI Task Force We need to make all company-wide workflows agentic. Development [AI Agent] Legal Review [AI Agent] PR Review [AI Agent] Security Review Release

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The Pioneer of Agentic Work: Proaject Socrates Socrates: Internal BI AI Agent

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The Pioneer of Agentic Work: Project Socrates Request data retrieval and analysis using natural language Anyone can access data without complex SQL queries A company-wide realization that AI can perform difficult tasks, including decision-making.

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Launch of the AI Task Force Launched AI Task Force in July 2025 Accounting/Audit/Credit/Logistic/BI/IR/CorpDev/CoporateIT/CorporatePlanning/ CSTns/EngineeringOffice/Governance/HR/Kashima/Legal/Marketing/MS/PMO/P ublic Policy/R4D/Risk/Sales/Security/Treasury/ Corporate domain AI Product/Engineering/PdM/UIUX Service Development Domain

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Launch of the AI Task Force

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AI Task Force: Responsibilities 3 Core Responsibilities Take inventory of all business processes Create AI transformation vision and roadmap Execute on AI transformation according to the roadmap 1 2 3

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AI Task Force: Achivements 4000 workflows 33 domain’s roadmap Quick wins

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Lessons from the AI Task Force Cross-Domain Synergy Engineers who moved into non-tech domains (e.g. Legal, Finance) came up with innovative ideas that led to improvements by challenging the existing assumptions. New Growth for Engineers Tackling unfamiliar domains led to new skill sets and boosted motivation.

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Case 1:Enhancing Fintech CS Quality with AI Role-Playing

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Case 1: Enhancing Fintech CS Quality with AI Role-Playing We used to conduct role-playing between people. Now, AI is our training partner. Practice Screen We simulate actual vocal conversation between the customer and the AI on the CRM. Evaluation Screen The AI provides feedback based on the conversation.

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Case 2: Mercari Review Assistant

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Case 2: Mercari Review Assistant

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Case 2: Mercari Review Assistant

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Future Vision Beyond AI Transformation

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Our Goal Beyond AI-Native Transformation Circulate all forms of value to unleash the potential in all people デザインむずい。アン リーシュ感出したい。

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The Challenge of Global Expansion Vision A Global Marketplace and Fintech Service

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The Challenge of Global Expansion Challenge Global expansion was limited by human resources for localization and operations Solution with AI Augmenting individual capabilities with agents to achieve global expansion with a realistic number of people.

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Moving away from a mindset of resource limitation to a world where we can achieve what we want to achieve

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Toward Ultimate Customer-Centricity By building on a foundation of AI, we can focus more deeply on customer value. This is the "AI-Native Company" we aim to be.

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Session紹介

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The Future of User Experience - Mercari MCP -

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Mercari MCP Application Layer Mercari MCP Mercari tools and apis - Authentication - Search - Listing - More coming soon End Users ChatGPT is a product of OpenAI, L.L.C. Claude Code is a product of Anthropic PBC. Claude Code

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Demo Video Search in ChatGPT with Mercari MCP

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Mercari MCP Roadmap Phases P1 P2 P3 Whitelist Only Full Release Expand Tools MCP accessible to applicants only. Validated applicants will be whitelisted Anyone can try with applications that support MCP Continue adding more tools and APIs (e.g. more search and listing capabilities, logistics, analytics, payments.)

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Signup Sign Up today, try Mercari MCP in ChatGPT and Claude Code. When it’s ready, we will inform you.

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Thank You!