Building an AI strategy for retail
Generative AI (GenAI) will provide retailers a unique opportunity to reimagine value chains, enhance loyalty, and rethink business models.
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Top Results
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10
01 - 07
Industry
Retail
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Omnichannel CX and Intelligent Innovation – The Future of Retail
Read how TCS’ agile and AI-powered retail solutions help businesses strengthen supply chains, reimagine operations, and deliver improved customer experience.
Related Insights
Providing a governed AI orchestration layer across SAP, commerce, and operations, MCP helps retailers move beyond AI pilots and gain a competitive advantage.
White Paper
08 Oct 2026
TCS implemented greenfield SAP S/4HANA to build a unified digital platform for data-driven decisions and better demand forecasting and supply chain planning.
video
06 Oct 2026
Retailers that build behavioural intelligence and agentic AI foundations to drive purchase decisions and post-purchase experience will lead the future of retail.
White Paper
01 Oct 2026
Services
Artificial Intelligence
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Building a Smarter, Connected Tomorrow with AI-first and Agentic AI
When paired with the right data, our AI-first services like agentic and custom AI drive enterprise transformation, improving productivity for a better tomorrow.
Related Insights
エージェント型AIは、情報を提示するだけでなく、目的に応じて計画を立て、企業データや外部ツールを利用しながら、複数のタスクを実行できるようになりつつあります。その一方で、AIエージェントに与える権限が広がるほど、意図しない動作、情報への不適切なアクセス、責任の所在、説明可能性など、新たなリスクへの対応が重要になります。
本記事は、TCSがグローバルで公開した「Make agentic AI enterprise-ready through strong governance」をもとに、日本語版として構成したものです。エージェント型AIの本格導入に必要となるガバナンスの構成要素、技術的なガードレール、人による監督、組織体制、データガバナンス、導入時の指針について解説します。
さらに、日本企業がガバナンスの原則を実際の業務運用へ落とし込む際の参考となるよう、日本TCSのAI専門家による解説を加えました。組織内の責任分担、全社で共通利用できる統制基盤、人とAIエージェントの役割分担という3つの視点から、ガバナンスを実効性のある仕組みとして機能させる方法を考察します。
White Paper
08 Oct 2026
生成AIの活用が実証段階から本格展開へ進む中、機密性の高いデータを扱う企業や規制産業では、AIモデルやデータをどこで、誰が、どのように管理するかが、重要になっています。AIを業務に組み込むには、性能や利便性だけでなく、データ主権、セキュリティ、法令遵守、安定した運用の継続性を含めて基盤を設計する必要があります。
本記事は、TCSがグローバルで発表したホワイトペーパー「Build trusted AI with private and sovereign foundations」をもとに、日本語版として再構成したものです。プライベートAIとソブリンAIの基本的な考え方、技術基盤、ガバナンス、導入時の課題、将来に向けたロードマップを解説します。
さらに、日本企業が実際に導入方針を検討する際の参考となるよう、日本TCSのAI専門家による解説を加えました。AI主権を単なるデータの保管場所やインフラの選択として捉えるのではなく、データ、モデル、運用、将来の技術選択に対する統制を、組織が維持できるかという視点から考察します。
White Paper
08 Oct 2026
Explore how insurers can combine AI-driven execution with human judgement to drive workforce transformation and deliver better resilience and customer trust.
Blog
07 Oct 2026
Generative AI and the future of retail
The retail industry has used artificial intelligence (AI) to unlock predictive insights across the value chain over the past decade.
Traditional AI solutions have helped retailers enhance shopping experiences, boost productivity, and enable data-driven decision-making. Generative AI (GenAI), however, provides retailers a unique opportunity to reimagine value chains, enhance loyalty, and rethink business models. Retailers need to build a strategy that can accommodate constant change, ensure data privacy compliance, and implement solutions that deliver business returns on investment.
Developing the right AI strategy will enable retailers to transform business operations, consumer experiences, and revenue streams. Adopting an AI strategy isn’t just about staying relevant; it’s about leading change in the tech-driven future. By harnessing the creative capabilities of GenAI, retailers can unlock new avenues for growth, drive innovation, and deliver superior customer experiences across the entire value chain.
Watch this CIO roundtable with executives from JCPenney, Belk, and TCS as they discuss the impact of GenAI, successful AI implementations across the retail industry thus far, and key challenges, and offer guidance to executives starting out on the AI journey.
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