TCS Retail Netherlands

Action

Real-time Analytics

Action's pricing team could not scale spreadsheet-based pricing across ten European markets while coping with constantly changing products, competitor promotions, currency fluctuations, taxes, and the need to keep price parity across countries without compromising its low-price brand promise.

About 60% of Action’s assortment is ever changing
operates a chain of 2,000 stores across ten countries in Europe

Reported impact

Business outcome

Action replaced manual price setting with an AI-powered pricing platform that scales across its European footprint, supports faster assortment refreshes, preserves price parity, improves revenue discipline, and makes rapid international expansion possible without breaking the company's pricing model.

  • Productivity Improvement
  • Revenue Growth
  • Scalability
  • Speed to Market

Solution

TCS rebuilt Action's pricing process around TCS Optumera, an AI-powered retail strategic intelligence platform used to move the retailer away from manual spreadsheet calculations. The platform takes in store price-check information, third-party competitor data, cost-price changes, currency movement, and promotion timing, then evaluates those signals against Action's pricing policies. It links new products to similar items, generates recommended prices, triggers automatic price changes when defined scenarios occur, raises alerts when thresholds are breached, and offers what-if simulations before rollout. Optumera also exposes the reason behind each recommendation so the team can keep transparency while scaling decisions. The result is a centralized pricing engine that helps Action maintain parity across countries, launch sharper initial prices, and expand quickly without losing control of local pricing strategy.

Data flow

Store price-check inputs, third-party competitor data, cost-price updates, currency signals, and pricing-policy rules are fed into TCS Optumera. The platform matches products to similar items, models pricing scenarios, generates recommendations and alerts, and automates approved price changes so Action's pricing teams can roll out market-specific updates at scale.

Solution architecture

1 components · 1 layer
  1. Uncategorized
    • TCS Optumera™ Runs Action's AI-powered pricing intelligence, recommendations, simulations, threshold alerts, and automated price-change workflows.

Architecture clues

  • Action uses what-if simulations before rolling out price changes.
  • Recommendation transparency is built in by showing the reason behind each suggested price.
  • The platform triggers automatic price changes from scenarios such as currency fluctuation, cost-price changes, and competitor-promotion expiry.
  • Threshold alerts are used to flag pricing breaches.

Evidence from the source

"TCS has helped Action Group, a fast-growing Dutch international non-food discount retailer, transform its pricing strategy using TCS Optumera™ AI-powered retail strategic intelligence platform."
"The platform links Action’s products to similar items, enabling better pricing of new products, and automates price changes aligned to policies on floor pricing and spiral pricing."
"The platform triggers automatic price changes based on various scenarios like currency fluctuation, changes to cost price and expiry of competitor promotions."
"The pricing process which used to be done manually was transformed by harnessing the AI capabilities of TCS Optumera™ platform."
"With the granular, real-time pricing intelligence provided by TCS Optumera™, Action can now roll out sharper initial prices and maintain price parity across items and stores to maximize revenue"
Transparency Evidence & methodology 90/100 reference value · 95% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value90/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact15/25
    1 metric describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence95%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability25/25
    12 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency10/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. TCS

    Dutch international retailer Action transforms its pricing strategy with TCS Optumera™

    First-party
    https://www.tcs.com/what-we-do/industries/retail/case-study/dutch-international-retailer-action
    Source type
    Vendor-published customer story
    Published
    Oct 30, 2023
    Supports
    • Customer
    • Industry
    • Region
    • Company size
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • Business outcome
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence