All Foundries

Commodity Management & Trading

Transforming trading ecosystems through data-driven insights and secure, agile platforms that empower global commerce.

Customer & Marketing Strategy

Reimagining customer engagement with personalized, connected experiences that build trust and long-term value.

Digital Engineering

Turning ideas into scalable digital solutions—accelerating transformation through design, technology, and engineering excellence.

Station Studio

Redefining mobility hubs with digital innovation to create smarter, sustainable experiences for people and businesses on the move.

Supply Chain & Industry 5.0

Building resilient, intelligent supply networks that anticipate change and deliver efficiency with purpose.

Sustainability

Driving responsible innovation to help organizations achieve net-zero goals and create a positive impact for future generations.

Physical AI

Physical AI gives machines, robots and physical operations the ability to perceive their environment, decide what matters and act in real time. Factories, plants, stores and infrastructure become systems able to sense conditions, learn from them and improve on their own, closing the gap between the physical and the digital world.

Next-Gen Infrastructure

From networks as infrastructure to connected platforms that enable critical, autonomous and intelligent operations.

Omnichannel click and collect

For a retailer, online growth helps physical stores only when digital orders bring shoppers through the door. Working with NTT DATA, a retailer launched a global omnichannel model with click-and-collect, iPad-based ordering and interactive screens. Today 80% of online orders are collected in store, and 60% of pickup customers buy more while there.

Omnichannel click and collect

Omnichannel loyalty in Japan: stores, app and points in one place

For a lifestyle retailer, loyalty grows when every visit, click and purchase connects to the same customer. Working with NTT DATA, a Japanese lifestyle retailer brought loyalty and commerce together in one application, connecting stores, mobile and customer data to grow sales through personalized experiences.

Omnichannel loyalty in Japan: stores, app and points in one place

Contact

Convenience Store Sales Growth

A service-station convenience retail network used transaction data and other internal and external sources to identify purchase patterns, shape promotion communications and define more than 60 sales-growth initiatives for immediate application in stores.

Customer browses fresh food in a service-station convenience store, with fuel pumps visible through the windows.

Average ticket

+5% reported increase

Growth initiatives

60+ defined for stores

Data foundation

4+ sources integrated

Promotion strategy

Grounded in basket data

Cashier scans a sandwich beside a drink, snack, fruit cup and coffee at a service-station convenience store checkout.

From station data to +5% average ticket in convenience stores

Turning underused station data into practical growth decisions

Objectives

Increase revenue by growing convenience-store sales at service stations.

Opportunity

Use transaction and related data as an ongoing decision base for understanding baskets, identifying sales opportunities and shaping promotion communications.

Moving from available data to actionable store insight

The network had a valuable base of station-generated data, but the initiative needed to connect that information to store profiles, purchase patterns and promotion decisions.

Key Challenges

Convenience-store manager reviews operations on a tablet beside the checkout, with the fuel forecourt visible outside.

1: Data integration
The initiative required information from at least four internal and external sources to be brought together for analysis.

Store operations specialist walks through a service-station convenience store while reviewing its layout and assortment.

2: Store characterization
The network needed a consistent view of convenience-store characteristics to interpret performance and product mix.

Shopper selects fresh food while carrying a basket with coffee, a drink, a sandwich and a snack.

3: Purchase patterns
Customer basket behavior and cross-purchase patterns had not been systematically analyzed.

Employee updates a shelf-edge promotion beside snacks and drinks in a service-station convenience store.

4: Promotion communication
Promotion communications lacked a data-driven basis linked to observed basket behavior.

Solution

Market basket insight translated into store action

NTT DATA combined multi-source analysis, store characterization and market basket analysis to turn existing data into initiatives that stores could apply directly.

Unified analysis base

Analyzed information across more than four internal and external data sources.

Store characterization

Characterized convenience stores to create a clearer basis for interpreting commercial performance and mix.

Market basket analysis

Applied a market basket analysis model to identify purchase patterns and sales opportunities.

Promotion strategy

Defined a communication strategy for promotions grounded in basket data.

Impact

From transaction evidence to measurable ticket growth

The work defined more than 60 immediately applicable sales-growth initiatives and established a basket-data-led promotion communication strategy. The source reports a 5% increase in average ticket, supported by analysis across more than four internal and external data sources.

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