Retail & Commerce
Infrastructure that handles peak traffic as calmly as a quiet Tuesday
Architecture tested to 40x peak loads, sub-100ms storefront response times, and real-time omnichannel data for retailers that can't afford Black Friday surprises.
40x
Peak traffic headroom, tested
< 100ms
P99 storefront response at peak
< 5s
Cross-channel data latency
PCI DSS
v4.0 compliant environments
The challenge
Retail infrastructure is tested when it's least convenient to fail
Peak commerce events are simultaneously the highest-revenue and highest-risk moments for retail infrastructure. The platform has to be built for the worst-case load — not average load.
Peak traffic crushing production
Black Friday, Cyber Monday, flash sales, and live commerce events generate traffic spikes that are 20–40x normal load. An infrastructure that handles average load is not the same as one that handles peak load. Most retailers find out the difference at the worst possible moment.
Fragmented omnichannel data
Customer data sits in separate systems for e-commerce, point-of-sale, loyalty, and fulfilment. Unifying it into a real-time view is the foundation for personalization, inventory optimization, and accurate reporting — and most retailers are years behind.
Reporting latency killing decisions
Weekly or daily reporting cycles mean merchandising and ops decisions are made on data that's already stale. The business intelligence system needs to run on the same clock as the business.
Global performance and compliance
Cross-border e-commerce requires consistent performance in every market — and compliance with data residency and consumer privacy regulations in each. GDPR, CCPA, PIPEDA, and PDPA all have different requirements.
Our approach
Built for the demands of modern commerce
Every capability exists because a retailer hit a wall at a critical moment. We build the architecture that eliminates those moments.
Peak traffic architecture
We architect for 40x normal load as a baseline. Auto-scaling triggers ahead of forecast events. Load shedding and graceful degradation are designed in — so even under stress, the storefront stays up and checkout works.
Tested to 40x peak traffic loads
Sub-100ms storefront response
Edge caching, globally distributed origin infrastructure, and optimized database query paths deliver sub-100ms response times under peak load. Performance budgets are enforced at the infrastructure layer.
< 100ms P99 storefront response at peak
Omnichannel data integration
We build the data pipeline that unifies POS, e-commerce, loyalty, CRM, and fulfilment into a single operational data store. Every touchpoint is in the same system, updated in real time.
< 5 second cross-channel data latency
Real-time analytics and reporting
From raw transaction data to role-specific dashboards in minutes — not overnight. Inventory levels, conversion rates, and basket size are visible as they happen. Decisions are made on current data.
Sub-minute reporting refresh cycles
Payment infrastructure security
PCI DSS v4.0 compliant cardholder data environments with tokenization, point-to-point encryption, and scope-minimization architecture. Annual QSA assessments supported.
PCI DSS v4.0 · P2PE · tokenization
Global data residency compliance
Data residency policies enforced at the platform layer. Customer data stays where regulations require without fragmenting your operational architecture. GDPR, CCPA, PIPEDA, and PDPA covered.
GDPR · CCPA · PIPEDA · PDPA
Compliance coverage
Consumer data and payment compliance, globally
Retail compliance spans payment security and consumer data privacy across multiple jurisdictions. We design to all relevant frameworks from the start.
PCI DSS v4.0
Cardholder data environments
GDPR
EU consumer data processing
CCPA / CPRA
California consumer privacy
PIPEDA
Canadian privacy law
PDPA
Southeast Asia consumer data
SOC 2 Type II
Cloud service controls
ISO 27001
Information security management
WCAG 2.2 AA
Accessibility compliance
Use case
Moving from weekly reporting cycles to same-day operational intelligence
A multi-channel retailer with stores, e-commerce, and wholesale operations ran on overnight batch reporting. Merchandising decisions were made on data that was 24–48 hours old. The CEO couldn't get current inventory numbers without asking an analyst.
Read our approachOur approach
We rebuild the data pipeline from ingestion through to role-specific dashboards. When the CEO needs a number, they get it in minutes — not by asking a data analyst.
Running a retail or e-commerce business with infrastructure challenges?
Our retail infrastructure team understands peak load, omnichannel data, and payment compliance — and how to deliver all three simultaneously.