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All Foundries

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Commodity Management & Trading

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

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Customer & Marketing Strategy

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

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Digital Engineering

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

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Station Studio

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

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Supply Chain & Industry 5.0

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

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Sustainability

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

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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.

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Next-Gen Infrastructure

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

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43% more invoices per person in an automated Procure-to-Pay cycle

Purchasing teams spent hours on each invoice, and the cycle had gaps in control. NTT DATA reviewed operations, tools and the organizational model, then built a roadmap with four automation scenarios. Each person in the process now handles 43% more invoices, and the process runs with 34% fewer full-time employees.

43% more invoices per person in an automated Procure-to-Pay cycle

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43 initiatives and an estimated 570 million pesos for a department store’s financial services

For a Mexican department store retailer, financial services were a side offering with room to grow. NTT DATA analyzed products, processes, operations and systems and designed a digital transformation plan with 43 initiatives. The plan carries an estimated impact of about 570 million Mexican pesos on EBITDA.

43 initiatives and an estimated 570 million pesos for a department store’s financial services

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Talks that move

AI recommendation & product positioning

Turning every search, click and basket into timely relevance across web, app and store, while giving merchandising teams clearer signals to act on.

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Customers do not experience ranking logic or channel boundaries. They experience a simpler question: does this retailer understand what I need now?

WHY THIS “AI RECOMMENDATION & PRODUCT POSITIONING” CHALLENGE?

Intent moves in real time, most merchandising decisions do not.

When product ranking stays generic, personalization stops at a handful of touchpoints and merchandising decisions sit apart from behavioural data, discovery becomes friction. Relevant products remain hidden, cross-sell feels disconnected from the moment and valuable intent can disappear before it becomes action.

Key benefits

Turning customer intent into measurable commercial outcomes

Personalization, precision, and scalable growth.

Relevance at the moment of decision

Product discovery becomes more responsive to current intent, supporting stronger conversion potential.

A more valuable basket

Cross-sell and Next Best Product can connect adjacent needs without turning the experience into a generic promotion stream.

Experiences that learn

Each visit can sharpen the next interaction, creating a stronger basis for retention and loyalty.

Merchandising decisions grounded in evidence

Behavioural insight and micro-segmentation can inform product positioning, helping teams move from intuition alone to a clearer test-and-learn cycle.

How NTT DATA helps

01

Shape recommendation models around the retail decision

Combine behavioural, transactional and contextual data to make recommendations more relevant in real time, with governance and data quality designed into the foundation.

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02

Turn segmentation into merchandising action

Use micro-segmentation to inform product positioning and Next Best Product initiatives, so insight reaches the assortment and the customer experience.

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03

Orchestrate personalization across channels

Connect web and mobile experiences with in-store assisted selling, preserving continuity as customers move between touchpoints.

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04

Build a continuous performance loop

Test, learn and refine against signals such as click-through rate, add-to-cart and conversion, rather than treating the first deployment as the finish line.

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05

Strengthen trust in the recommendation layer

Establish the data governance, quality controls and privacy requirements needed for recommendations that teams and customers can use with confidence.

Strengthening data governance and quality frameworks

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Proven impact

From better relevance to measurable commercial movement

Results that matter

Measurable impact on conversion, revenue, and customer loyalty

+5–15 % increase in conversion rate

More relevant product exposure reduces friction and accelerates purchase decisions.

+10–25 % uplift in average order value

Context-aware cross-sell and upsell strategies expand basket size.

+15–30 % improvement in retention and engagement

Personalized experiences increase repeat visits and customer lifetime value.

128 initiatives and 42 micro-segments

Next Best Product initiatives generated from a segmentation update.

Ready to make every product decision more relevant?

Deliver personalized, high-impact retail experiences.

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