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Business Talk

AI Products for Store Efficiency

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.

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

WHY AI PRODUCTS FOR STORE EFFICIENCY?

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.

Key benefits

AI products for store efficiency can help retailers achieve:

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.

How NTT DATA helps

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.

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Proven impact

AI-enabled store solutions help retailers convert operational friction into measurable productivity, margin protection and customer experience gains

Results that matter

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.

10–20% higher store productivity

Driven by the automation of repetitive tasks and better allocation of store staff to value-added activities such as customer service and sales support

15–30% reduction in checkout waiting time

Enabled by self-scanning, optimised queue management and faster transaction processing, improving customer flow especially during peak hours

5–15% reduction in shrinkage exposure

Through AI-powered monitoring and anomaly detection that identifies and prevents fraud, errors and unscanned items in real time

Improve in-store productivity with AI-enabled products

Optimize store operations

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