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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AI-Driven Order Management Optimization

A leading global consumer goods manufacturer transformed its Order-to-Delivery process by deploying an AI-powered order management framework combining predictive models, generative AI, and an agentic engine to optimize order rounding, detect anomalies, and improve supply chain efficiency.

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Daily order processing time

+7,000

Active items managed

+5,700

Daily order lines processed

€2.37M

Economic impact generated

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From Manual Order Review to Autonomous Optimization

Managing the Order-to-Delivery process required balancing service levels, cost efficiency, and operational complexity. Manual order review, rounding inconsistencies, and quantity outliers led to inefficiencies, picking costs, and stockout risks across customers and SKUs.

Objectives

Leverage AI to automate order rounding decisions, detect quantity outliers, and proactively mitigate stock risks while reducing manual workload and improving supply chain responsiveness.

Opportunity

By integrating predictive forecasting, anomaly detection, and rule-based agreement validation within an agentic framework, the organization could unlock rounding optimization at scale and reduce financial impact from outlier-driven stock disruptions.

Autonomous AI-Enabled Order Intelligence

Proven delivery of a blended AI solution integrating predictive analytics, generative reasoning, and agentic orchestration to streamline order management and enhance decision-making across the Order-to-Delivery process.

Key Challenges

Store employees restock a brightly lit grocery aisle, carrying cardboard boxes between shelves packed with cereal and packaged foods.

High manual workload in order review

Warehouse with pallets of cardboard boxes on conveyor lines, workers in high-vis vests, and an orange forklift moving through an automated order fulfillment area

Inconsistent rounding to full-box quantities

Large warehouse with tall shelves of packaged goods, workers using forklifts, and cartons moving along conveyor belts under bright industrial lights.

Undetected quantity outliers causing stockouts

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Limited real-time visibility across order risks

Solution

Designed and implemented Smart Orders framework. Integrated predictive AI, generative AI, and agentic orchestration capabilities within the Order-to-Delivery workflow.

Developed order rounding optimization models. Enabled automated identification of full-box rounding opportunities across high-volume SKUs and customers.

Implemented anomaly detection engine. Deployed real-time monitoring of daily order streams to detect abnormal quantity patterns.

Orchestrated automated resolution workflows. Configured alerts, automatic order adjustments, and stakeholder notifications aligned with business rules and agreements.

Impact