Business Talk

AI Products for Store Efficiency

Improving in-store productivity through AI-enabled store technologies that reduce friction, automate operations and enhance the customer journey
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Store operations are under increasing pressure. Retailers must protect margins, improve labour productivity, reduce queues and deliver a smoother customer experience, while managing shrinkage, rising operating costs and uneven adoption of digital tools
WHY AI PRODUCTS FOR STORE EFFICIENCY?
Self-scanning and AI tools reduce friction, queues, and operational costs.

AI-enabled products such as self-scanning, computer vision, smart checkout, real-time exception detection and automated task management help stores operate with greater precision. By combining store technology with hyper automation, retailers can reduce manual intervention, accelerate checkout flows and give store teams more time to focus on service, availability and sales.

The result is a smarter, more responsive store environment where efficiency is embedded into daily operations

Key benefits
AI products for store efficiency can help retailers achieve:
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Lower labor cost

Through the automation of repetitive checkout and operational tasks, enabling store staff to focus on higher-value activities such as customer engagement and sales support

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Faster checkout and reduced waiting times

Driven by self-scanning and intelligent queue management, improving store throughput and reducing friction in peak periods

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Improved shrinkage control

Leveraging AI-based anomaly detection and computer vision, allowing real-time identification of suspicious behaviours and reducing revenue leakage

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Higher store team productivity

By minimising manual interventions and streamlining daily operations, leading to more efficient task execution and better in-store service levels

How NTT DATA helps

01
Store technology deployment

NTT DATA supports the design, rollout and scaling of AI-enabled store solutions, including self-scanning, self-checkout, computer vision and assisted selling tools

02
AI and POS integration

We connect AI products with POS, ERP, loyalty, inventory and workforce systems to ensure operational data flows consistently across the retail ecosystem

03
Change management and adoption

Technology only delivers value when store teams and customers use it effectively. NTT DATA supports training, adoption strategies and operating model adjustments

04
Performance analytics

We define KPIs, dashboards and continuous improvement mechanisms to track queue times, shrinkage, labour productivity, sales density and customer adoption

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Hyper automation of store processes

We help automate repetitive store activities such as checkout exceptions, stock alerts, task allocation, fraud detection and operational reporting

AI-Powered Station Intelligence
Proven impact
AI-enabled store solutions help retailers convert operational friction into measurable productivity, margin protection and customer experience gains
Results that matter
Retail organisations adopting AI-driven store efficiency can typically achieve:
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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

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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

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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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