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

Dynamic Pricing Network

A fuel and convenience retail network operating in Mexico and Colombia introduced a strategic pricing asset that predicts and simulates station selling prices. Built around station profiles, costs and customer purchase propensity, it gives the business a repeatable way to test decisions at station level and pursue greater economic benefit across the network.

Elevated evening view of a busy fuel and convenience station beside an urban road in Latin America.

Sales uplift

+10% per service station

Forecast accuracy

95% projected versus sold volume

Network adoption

130+ stations in two countries

Business ownership

Reusable pricing asset

Busy roadside fuel and convenience station at sunset, with vehicles, attendants and customers moving through the site.

From fixed prices to dynamic pricing across the network

When competition and demand differ by station, a single price cannot reflect the whole network.

Objectives

Generate a strategic asset capable of predicting and simulating station selling prices to maximize their economic benefit.

Opportunity

Move pricing from intuition to a reusable, business-owned capability that adapts decisions to each station's market conditions.

One network, many local markets

The initiative had to turn highly local pricing conditions into a consistent decision process that could work across two countries and more than 130 stations.

Key Challenges

Fuel station in a dense Latin American neighborhood, surrounded by local traffic and a competing station in the distance.

1: Station-level variance
Each station faced different competitive dynamics and demand.

Station manager reviews a tablet in a back office while fuel operations continue outside.

2: No scenario testing
Pricing teams had no way to test price scenarios before applying them.

Aerial view of two fuel stations serving contrasting urban and peri-urban traffic patterns around a highway interchange.

3: Two-country fit
The initiative required an analytical model suited to the Mexican and Colombian markets.

Operations lead and station supervisor review activity on a busy fuel station forecourt.

4: Network adoption
The asset needed to support self-service consultation and simulation across the station network.

Solution

A pricing model grounded in how each station sells

NTT DATA designed a dynamic pricing model using profiling, costs and purchase propensity, then made it available through a self-service web platform.

Consumer and station archetypes

Created archetypes to fit the model to real station and customer profiles.

Prediction and simulation

Combined profiling, costs and purchase propensity to predict and simulate station selling prices.

Market-specific analytics

Developed the analytical model for the Mexican and Colombian markets.

Self-service rollout

Delivered price consultation and simulation through a web platform and rolled it out across the station network.

Impact

From pilot to strategic asset across two countries

The pricing model moved beyond pilot use and became a reusable asset owned by the business. The source reports a 10% sales increase per service station, 95% accuracy when projected volume was compared with actual volume sold, and adoption across more than 130 stations in Mexico and Colombia.

Drag