Hands holding a smartphone displaying colorful digital content, with blurred neon lights in blue and red suggesting a tech-focused setting

ビジネストーク

店舗効率化に向けたAI製品

A connected intelligence layer for store operations, bringing checkout, vision, RFID, robotics and associate tools together to reduce friction and help every shift work smarter.

会議のスケジューリング

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A few seconds at checkout. A missed shelf signal. Another app for an associate to open.

店舗効率化にAI製品が選ばれる理由とは？

Retailers are managing queues, manual tasks and loss exposure while associates move between disconnected tools.

At the same time, robots, shelf data and shopper signals often operate without a common orchestration layer. The issue is not a lack of technology. It is the effort required to make each technology work as part of one store operation.

主なメリット

店舗業務の効率化を支援するAIプロダクトは、小売企業に以下の価値を提供します：

More productive shifts

Repetitive activity is automated and store tasks can be scheduled against real operational signals.

Less checkout friction

Self-checkout and self-scanning support faster, more convenient flows when integrated into the wider store journey.

Stronger loss visibility

Computer vision and RFID improve the signals available to identify and manage shrinkage exposure.

A simpler associate experience

Store solutions converge into one mobile journey, reducing the need to navigate disconnected tools.

NTTデータのサポート体制は？

01

In-store technology deployment

Deploys self-scanning, self-checkout, computer vision and RFID around the store moments where friction and manual effort are most visible.

Man taps a large digital kiosk inside a bright blue-and-orange station store, while a blurred passerby walks in the foreground.

02

AI and point-of-sale integration

Connects store technologies with the retail ecosystem and its data flows, creating the context needed for more timely decisions.

Person swipes a blue chip card through a tablet card reader in a café; the screen shows a payment processing for 133.50.

03

Robotics and task orchestration

Coordinates store robots with shelf, shopper and team signals to support on-shelf availability and balance workloads across the shift.

Man with glasses and ID badge uses a tablet in a dim data center, with rows of server racks and bright overhead lights blurred behind him.

04

Associate tools and hyperautomation

Brings store solutions into one mobile experience and automates selected store processes, making technology easier to use in the flow of work.

05

Change management, adoption and KPIs

Supports adoption and performance analytics so the operating model, teams and measures evolve with the technology.

Close-up of pastel garments on wooden hangers along a rail, including checked, striped, cream, and blue embroidered fabrics in soft focus.

実証済みの効果

AIを活用した店舗ソリューションは、小売業者が業務上の摩擦を、測定可能な生産性向上・利益率の維持・顧客体験の向上へと転換することを支援します

重要な結果

The input identifies three performance signals already associated with the BizTalks site, but it does not provide an attributable source, client context, baseline or measurement period

Treat the figures below as publication placeholders until they are validated.

店舗の生産性が10～20％向上

反復的な業務の自動化と、顧客対応や販売支援といった付加価値の高い業務への店舗スタッフの最適な配置により推進されます

会計時の待ち時間が15～30％短縮

セルフスキャン、最適化された待ち行列管理、および迅速な取引処理により、特に混雑時間帯における顧客の流れが改善されます

シュリンクリスクが5～15％低減

AIを活用した監視および異常検知機能により、不正行為、エラー、未スキャン商品をリアルタイムで特定・防止します