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Card data stays masked in test, and payment controls are verified before anything ships.
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Retail & Consumer Goods
Engineering retail systems that hold at peak
Commerce, store, loyalty and supply chain platforms for retailers and consumer brands, with AI where it improves the customer experience, tested for peak trading, payments security and accessibility so every channel works when customers need it.
PCI DSSpayment and security testing
Peak readinessperformance and load testing
WCAGaccessibility testing for EAA and ADA
What’s changing across the industry
The pressures on retailers and consumer brands
Every organization we work with is balancing the same pressures.
Peak trading with no margin for failure
Holiday, promotion and launch traffic has to be handled across web, app, store and fulfillment without slowdowns or outages.
Payments security under PCI DSS v4.0.1
The future-dated PCI DSS v4.0.1 requirements, including controls on payment page scripts, have been mandatory since March 31, 2025.
Accessibility as a legal requirement
The European Accessibility Act has applied to ecommerce since June 28, 2025, and ADA claims against US retail websites continue.
AI that shoppers and margins can trust
Personalization, search, pricing and service agents have to be accurate, fair and controlled before they reach customers.
How we help
Serving the full retail and consumer goods value chain
We understand the challenges in each part of retail and consumer goods and help through retail-specific offerings, in addition to the domain-agnostic services we deliver across the lifecycle.
Department, specialty & big box
Omnichannel retailers
Retailers selling across stores, websites, apps and marketplaces.
What we hear
- Peak trading across every channel at once
- Accessibility and PCI DSS obligations on digital storefronts
- Order, inventory and returns that must match across channels
How we help, across the lifecycle
- Advise
- Omnichannel and commerce platform roadmapsAI-assisted mapping of customer journeys and system dependencies across channels
- Peak trading readiness assessmentsAI analysis of past peak traffic and incidents to find weak points
- Build
- Ecommerce and mobile commerce applicationsAI pair-programming with engineers owning every release
- Order management and fulfillment integrationsAI-generated integration mappings and code, reviewed by engineers
- Modernize
- Composable and headless commerce migrationAI-assisted code analysis to plan and speed up migration
- Verify
- Omnichannel functional and regression automationAI-generated and self-healing test scripts across web, app and store journeys
- Peak trading performance and load testingAI-modeled load profiles based on past peaks and planned promotions
- Accessibility testing for the European Accessibility Act and ADAAI-assisted WCAG scans, with manual testing using assistive technology
- Run
- Peak-season command centers and hypercareAI dashboards forecast load and flag risks during peak events
Proof point
A global retailer now has one customer profile across every channel, with real-time order, warranty and repair status and no systems replaced.
See the case studyFood & everyday retail
Grocery & convenience
Grocers and convenience chains running high-volume stores and fast fulfillment.
What we hear
- Aging POS and store systems across many locations
- Fresh inventory, waste and replenishment accuracy
- Online grocery and delivery growth on thin margins
How we help, across the lifecycle
- Advise
- Use-case prioritization across stores, digital and supply chainAI models score each use case on margin impact, risk and data readiness
- Build
- Store and associate applicationsAI assistants that help associates find stock, answer questions and complete tasks
- Demand forecasting and inventory analyticsPredictive models for demand, replenishment and stock-outs
- Modernize
- POS and store systems modernizationAI-assisted extraction of business rules from legacy POS code
- Verify
- POS, payment terminal and device testingAI-generated test scenarios for tenders, refunds and offline modes
- Run
- 24x7 monitoring of commerce and store systemsAI detects anomalies in traffic, checkout and payments before customers notice
- Managed operations for POS and store estatesAI triage of store tickets and automated fixes for known issues
CPG
Consumer packaged goods brands
Food, beverage, household and personal care brands selling through retailers and online.
What we hear
- Demand signals spread across retailers and channels
- Supply chain and ERP platforms due for upgrade
- Product and customer data in too many systems
How we help, across the lifecycle
- Advise
- Customer data and loyalty strategyAI-assisted analysis of customer and loyalty data quality and consent coverage
- Build
- Demand forecasting and inventory analyticsPredictive models for demand, replenishment and stock-outs
- Modernize
- ERP and supply chain platform upgradesAI-generated interface mappings and transformation logic
- Cloud migration of commerce and data platformsAI-generated infrastructure as code, reviewed by platform engineers
- Product, customer and inventory data modernizationAI-assisted data profiling, cleansing and product data enrichment
- Verify
- Accessibility testing for the European Accessibility Act and ADAAI-assisted WCAG scans, with manual testing using assistive technology
- Run
- AI model and agent monitoringModels and agents monitored for accuracy, drift and policy breaches
DTC & ecommerce
Direct-to-consumer & marketplaces
Brands and marketplaces that sell online direct to shoppers.
What we hear
- Conversion depends on search, personalization and app performance
- Launch and drop-day traffic spikes
- Payment security and fraud on every checkout
How we help, across the lifecycle
- Advise
- AI governance for pricing and personalizationPolicies drafted with AI support and reviewed by our consultants for fairness and transparency
- Build
- Personalization, product search and recommendationsAI-driven search and recommendations tuned on your catalog and behavior data
- Conversational AI for customer serviceAI voice and chat agents for order status, returns and FAQs, with staff handling escalations
- Modernize
- DevSecOps pipelines with PCI DSS controls built inAI checks on code, dependencies and infrastructure in every pipeline
- Verify
- PCI DSS and security testingAI agents probe payment flows and page scripts, with findings confirmed by testers
- Validation of AI personalization, search and pricing modelsAI-generated test sets check accuracy, bias and relevance against agreed thresholds
- Mobile app and cross-browser testingAI-prioritized device and browser coverage based on real customer traffic
- Run
- Incident response and site reliability engineeringAIOps that correlates alerts and suggests the fix
Food service
Restaurants & hospitality
Restaurant groups, quick-service chains and hospitality operators.
What we hear
- Ordering apps, kiosks and POS that must agree in real time
- Loyalty programs and promotions that must apply correctly
- Payment and card data security across many sites
How we help, across the lifecycle
- Advise
- Quality engineering and test strategy assessmentsAI analysis of defect and release history to find coverage gaps
- Build
- Loyalty and customer engagement platformsAI models for offer targeting and churn risk, tested before launch
- Modernize
- POS and store systems modernizationAI-assisted extraction of business rules from legacy POS code
- Verify
- POS, payment terminal and device testingAI-generated test scenarios for tenders, refunds and offline modes
- Promotion, pricing and loyalty rules testingAI-generated basket scenarios to test discounts, points and price rules
- Run
- Managed operations for POS and store estatesAI triage of store tickets and automated fixes for known issues
Delivery principles
How we engineer for retail and consumer goods
Journeys tested from search to returns
Regression follows how shoppers actually buy, across web, app, store and contact center.
Peak readiness proven before the season
Load tests and freeze plans are agreed months before peak, not weeks.
Accessible to every shopper
WCAG-based accessibility checks are part of every release, not a yearly audit.
Pricing and personalization AI kept honest
Models are monitored for drift and unfair outcomes once they meet real customers.
Rollouts piloted in a few stores first
New store and channel systems prove themselves in pilot locations before going wide.
Case study
Quality & DevOps Advisory | Global retailer
AI-led QE and PMO strategy
12 wksto a QE blueprint and ROI case
50%faster test cycles
3.4x12-month ROI
Challenge
The business had just gone live on SAP and Monday.com, alongside ServiceNow, web and mobile. Testing happened in production and QA was manual and reactive. There was no PMO, so initiatives were funded without a shared view of ROI.
What we did
We ran a 12-week, AI-led QE assessment covering test coverage, risk and automation, maturity benchmarking and tool selection, which led to a target-state QE blueprint, rollout roadmap and ROI case. Alongside it, we set up a PMO with a weighted value-scoring model, prioritization matrix and portfolio value dashboard that charts every initiative against customer outcomes.
Read the full caseSee all case studies
More case studies in this industry
getting started
Start small, prove value, then scale
We recommend starting with an understanding of the current state and then expanding across the lifecycle.
- Start here
Assessment
2 to 4 weeks Pilot
6 to 10 weeksManaged team
3 to 6 monthsExpansion & transformation
Ongoing
Schedule a discovery call
A 60-minute call to scope your assessment. We bring an initial view of quick wins for your landscape.
Let’s build retail systems customers can trust
Talk to our retail engineers about the channel, platform or AI use case you want to build, modernize or verify next.