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.

Retail

From satisfaction surveys to EBITDA: closing the loop on customer pain points

A department store retailer in Mexico turned a biannual NPS programme into a closed-loop customer listening mechanism, connecting feedback to pain-point initiatives and incremental EBITDA.

From satisfaction surveys to EBITDA: closing the loop on customer pain points

Retail

Unified returns management

A retailer processing more than two million returns a year moved from channel-specific workflows toward one digital returns system. The initiative connects request creation, status tracking and routing across sales and return channels.

Unified returns management

Contact

Discontinued Products Optimization

A retailer replaced store-by-store liquidation decisions with a recommendation-led process for discontinued products. NTT DATA analysed product and campaign data, designed campaign rules, and implemented automated suggestions, alerts and dashboards to support more consistent clearance decisions across stores.

Retail employee updates shelf labels in a busy home-goods store as shoppers move through the aisle.

Campaign sales

Increased during liquidation campaigns

Stock-out losses

Reduced for discontinued items

Decision agility

Faster, more consistent store decisions

Campaign visibility

Improved across-store coordination

Customers browse an organized home-goods display while an employee tidies the remaining stock.

From markdown guesswork to a liquidation recommendation engine

Liquidation decisions varied from store to store, while discontinuation patterns and campaign performance were not consistently visible.

Objectives

Reduce losses on discontinued products and improve liquidation campaign performance through faster, more consistent and better-informed decisions across stores.

Opportunity

Use discontinuation and campaign data to guide automated, store-level liquidation actions and create a stronger basis for future campaign decisions.

When every store decides differently

The retailer needed to turn fragmented markdown decisions into a repeatable, data-informed process without losing the ability to act at store level.

Key Challenges

Retail planner scans grouped household products beside an inventory sheet in a store stockroom.

1: Unanalysed discontinuation patterns
Product discontinuation data and liquidation outcomes were not being systematically analysed.

Store operations lead checks campaign rules against a clearance endcap with red shelf tags.

2: Inconsistent markdown decisions
Liquidation decisions varied from one store to another.

Retail associate uses a handheld inventory device while repositioning a product on the shelf.

3: Limited campaign visibility
Teams had limited visibility of campaign performance and store-level activity.

Two store managers coordinate campaign layouts on a planning board beside active replenishment.

4: Coordinated action at scale
The initiative required recommendations, alerts and workflows that stores could apply consistently.

Solution

A recommendation engine for store-level liquidation decisions

NTT DATA combined discontinued-product analysis, campaign rules, automated guidance and shared visibility to make liquidation a managed process rather than a store-by-store judgement call.

Data and outcome analysis

Analysed discontinued-product data and prior liquidation outcomes to establish the evidence base for campaign recommendations.

Recommendation rules

Designed the rules and decision logic used to recommend appropriate liquidation actions for campaigns.

Automated guidance and alerts

Implemented automated suggestions, alerts and decision-support features so stores could respond more quickly and consistently.

Campaign dashboards and workflows

Enhanced dashboards and campaign workflows to improve visibility and coordination across stores.

Impact

From judgement calls to managed liquidation

The retailer reports increased sales during liquidation campaigns, reduced stock-out losses for discontinued items, more agile and consistent decisions across stores, and improved campaign visibility and coordination. The source does not quantify these outcomes, so the claims should remain qualitative until approved measurements are supplied.

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