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Data-Driven Store Performance

Using data to optimize store layout, product placement, and customer flow to improve conversion, sales per square meter, and in-store performance

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Static store layouts and limited visibility into shopper behavior prevent retailers from optimizing space, product placement, and conversion performance

WHY THIS “DATA-DRIVEN STORE PERFORMANCE” CHALLENGE?

Turning store data into performance improvement

Retailers need to understand in-store behavior, optimize layouts continuously, and test changes faster to improve conversion and maximize sales productivity

Key benefits

Optimizing stores through smarter decisions

Better layout, stronger results.

Better layout effectiveness

Use shopper and store data to design layouts that improve navigation, visibility, and traffic flow

Smarter product placement

Position products based on customer behavior and demand patterns to increase engagement and conversion

Higher sales productivity

Optimize space utilization to improve sales per square meter and overall store performance

Continuous performance improvement

Test, measure, and refine layouts over time to respond faster to changing customer behaviors

How NTT DATA helps

01

In-store analytics and diagnostic assessment

Identify traffic patterns, behavioral insights, and layout improvement opportunities across store formats

02

Layout optimization strategy

Define data-driven approaches for zoning, product placement, and category adjacencies

03

Customer behavior insight enablement

Use data sources to understand how shoppers move, browse, and interact within the store

04

Test-and-learn execution model

Support pilots, experimentation, and iteration of layouts to validate business impact before scaling

05

Performance tracking and governance

Measure conversion, productivity, and sales density outcomes to sustain continuous improvement

Proven impact

Improving conversion and space productivity through data-driven layout decisions

Results that matter

Measurable improvements in conversion, layout effectiveness, and sales productivity

3–8% uplift in store conversion

Improved layouts and better product placement help more shoppers complete purchases

5–12% increase in sales per square meter

Space is used more effectively to support higher commercial productivity

4–10% improvement in category performance

Optimized placement and adjacencies increase visibility and shopper engagement

20–30% faster layout iteration cycles

Test-and-learn approaches enable quicker refinement of store decisions and execution

Turn store data into commercial performance

Optimize every square meter

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