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小売業におけるAI:利用事例・変革的影響 (2019年)

Global Artificial Intelligence in Retail-Use Cases and Transformational Impact, 2019

発行 Frost & Sullivan 商品コード 914929
出版日 ページ情報 英文 72 Pages
納期: 即日から翌営業日
価格
本日の銀行送金レート: 1USD=110.09円で換算しております。
小売業におけるAI:利用事例・変革的影響 (2019年) Global Artificial Intelligence in Retail-Use Cases and Transformational Impact, 2019
出版日: 2019年10月10日 ページ情報: 英文 72 Pages
概要

当レポートでは、小売業における人工知能 (AI) の各種用途を調査し、AIの技術状況・動向・ビジネスモデル、小売部門のエンドユーザーによる展望、AIの変革的用途の例、主要事業者のケーススタディ、成長機会・成功戦略の分析、将来の展望などをまとめています。

エグゼクティブサマリー

  • 主要調査結果

調査範囲・調査手法

技術状況・動向・ビジネスモデル:AI

  • 概要
  • 好調のAI関連技術
  • AIのバリューチェーン
  • エコシステムにおける展開
  • 広範に及ぶAIの用途
  • AIシステムの範囲
  • AIイノベーションのホットスポット
  • AI:主要課題

技術状況・動向・ビジネスモデル:小売エンドユーザーの展望

  • 小売業における事業目標
  • デジタルリテール:主なIT推進因子
  • 小売部門における新興技術の導入
  • 小売部門における新興技術の導入段階
  • 小売業者によるAI投資の主な理由
  • 小売業者によるAI関連の主な懸念

小売業におけるAIの変革的用途

ディスカバリー・ソーシャル・ビジュアルコマース

  • Pinterest
  • ソリューションプロバイダー・イノベーター

パーフェクトパーソナライゼーション・体験型コマース

  • Dynamic Yield
  • ソリューションプロバイダー・イノベーター

ノンヒューマンエージェント

  • Pepper Robot
  • ソリューションプロバイダー・イノベーター

次世代小売プランニング・ロジスティクス・オペレーション

  • Ocado
  • ソリューションプロバイダー・イノベーター

アンビエント・フリクションレスコマース

  • Amazon
  • ソリューションプロバイダー・イノベーター

成長機会・推奨行動

  • 成長機会:オートメーション
  • 成長機会:予測・処方
  • 成長機会:パーソナライゼーション
  • 成功・成長の戦略的必須要件
  • 注目の企業

総論

付録

FROST & SULLIVANについて

目次
Product Code: MF04-67

Data Drives Everything. Customer Experience is Everything

This research service is part of Frost & Sullivan's Integrated Commerce Research Programme. It provides an original perspective on how artificial intelligence (AI) is making its way into the retail sector. Retail has entered a new era where eCommerce and technology bellwethers like Alibaba, Amazon, Apple, Baidu, Facebook, Google, Microsoft, and Tencent have raised consumers' expectations. AI is enabling automated decision-making with accuracy and speed, based on data analytics, coupled with self-learning abilities. It has passed a critical usefulness threshold but is also overhyped. AI depends on other technologies such as the Internet of Things (IoT) to provide it with quality data to be able to address specific use cases of which there is a constantly growing number across industries and value chains, from customer-facing through core operational processes to the back-office.

The need for this linkage highlights the importance of a carefully planned digital transformation strategy wherein deployment takes into account dependencies between technologies. At the same time, growing fondness of retailers to experiment with, and take into production, emerging technologies for personalisation, human-machine interaction, automation and friction reduction, support greater efficiency and the delivery of better user experiences. As online and offline converge to become simply parts of the shopping experience, analytics identify and propose products to the needs and tastes of individual shoppers or shopper-captured images. Personalisation of offers and prices aspire to become real time in physical environments as well. Chatbots and social robots are becoming increasingly common to provide advice and support, while AI will increasingly pervade every business process and function across the retail value chain. The frequent last-touch experience of the shopper with AI will be frictionless checkout (unless there is subsequent need to turn back to customer service chatbots). Data remains ‘the new oil' that is the indispensable foundation for AI to work while the tension with privacy increases. Merchants and other ecosystem players' fight for the customer interface is not just a fight for sales and margins. It is just as much as fight for the ability to collect data. Data will determine the medium-term ability of a merchant to deliver a positive customer experience based on the merchant's AI being able to make accurate predictions about offering the right product or service, at the right price, the right time and in the right way to the right customers.

This research service takes retailers and other readers on an exploratory journey through AI-related changes in the retail environment to provide orientation in this fast-evolving environment.

Table of Contents

Executive Summary

  • Key Findings

Research Scope and Methodology

  • Research Aim and Scope
  • Research Methodology
  • Key Questions this Study will Answer

Technology Status, Trends, and Business Models-Artificial Intelligence: Foundations

  • Overview of AI
  • Which AI Sub-Technologies are Gearing up?
  • The Science and Engineering Behind AI
  • AI Value Chain
  • Ecosystem Development-From Data to Self-learning Systems, the Next Frontier
  • Pervasive AI Applications
  • AI Applications that Span Industries and Functions
  • Spectrum of AI Systems
  • AI Innovation Hot Spots
  • AI-Key Challenges
  • AI-Key Challenges (continued)

Technology Status, Trends, and Business Models-Retail End-User Perspective

  • Business Objectives in the Retail Industry
  • Top IT Drivers of Digital Retail
  • Emerging Technology Deployment in the Retail Sector
  • Stage of Emerging Technology Deployment in the Retail Sector
  • Top Reasons Why Retailers Invest in AI
  • Top Concerns for Retailers with Regards to AI

Transformational Applications of AI in Retail

  • Frost & Sullivan AI-Driven Integrated Commerce Framework
  • Frost & Sullivan AI-Driven Integrated Commerce Framework (continued)

Discovery, Social and Visual Commerce

  • Discovery, Social and Visual Commerce
  • Pinterest-A Place for Inspiration and Discovery
  • Solution Providers and Innovators Turning Retail Upside

Perfect Personalisation and Experiential Commerce

  • Perfect Personalisation and Experiential Commerce
  • Dynamic Yield-Making Every Customer a VIP
  • Solution Providers and Innovators Making Every Customers a Segment of One (VIP)

Non-Human Agents

  • Non-human Agents
  • Pepper Robot-Robots Blending in With People
  • Solution Providers and Innovators Giving Customers Non-human Interlocutors

Next-Gen Retail Planning, Logistics and Operations

  • Next-Gen Retail Planning, Logistics and Operations
  • Ocado-Digital Grocer Transforming Warehousing
  • Solution Providers and Innovators Upgrading the Retail 'Engine Room' Next-Gen Retail Planning and Operations

Ambient and Frictionless Commerce

  • Ambient and Frictionless Commerce
  • Amazon's Checkout-free Go Store-Starting Signal for the Checkout-free Shopping Race
  • Solution Providers and Innovators Helping Retailers Keep up With Amazon

Growth Opportunities and Companies to Action

  • Growth Opportunity 1-Automation
  • Growth Opportunity 2-Prediction and Prescription
  • Growth Opportunity 3-Personalisation
  • Strategic Imperatives for Success and Growth
  • 5 Companies to Watch

The Last Word

  • 3 Big Predictions
  • Legal Disclaimer

Appendix

  • List of Exhibits

The Frost & Sullivan Story

  • The Frost & Sullivan Story
  • Value Proposition-Future of Your Company & Career
  • Global Perspective
  • Industry Convergence
  • 360º Research Perspective
  • Implementation Excellence
  • Our Blue Ocean Strategy