8x
peak-traffic capacity
Headless commerce platform
Headless commerce on Shopify Plus, commercetools, BigCommerce, or Saleor. CDN-first cache, autoscaling worker fleets, and chaos-engineered failure modes ahead of peak season.
Industry
Headless commerce platforms, personalization and recommendations, order management, and loyalty / subscription engines — engineered for peak-season scale, PCI-DSS compliance, and the consumer privacy frame retail buyers actually face.
The landscape
The pattern across retail engagements: a beautiful headless storefront with a fulfillment integration that breaks at peak; a personalization engine that runs against stale data; loyalty mechanics scoped as phase 2; an order management system held together with cron jobs; and a peak-season run-up that consumes the engineering organization for a quarter. Retail isn't a single workload — it's a system of integrations, and the failures live at the seams.
Prosigns ships retail engineering with the seams as primary scope. Headless commerce platforms with rigorous order-management contracts, personalization with explicit data freshness SLAs, fulfillment integration designed for peak load, and the consumer privacy frame consumer-facing brands actually have to defend. CITADEL co-pilots PCI-DSS, GDPR, and CCPA evidence collection from kickoff.
Where we ship
Specific applications we’ve built and operated for retail & e-commerce buyers. Every example below is grounded in a real shipped engagement.
8x
peak-traffic capacity
Headless commerce on Shopify Plus, commercetools, BigCommerce, or Saleor. CDN-first cache, autoscaling worker fleets, and chaos-engineered failure modes ahead of peak season.
Real-time personalization engines with feature stores, A/B test infrastructure, and explainability dashboards. Privacy-respecting by design, with explicit consent management.
Omnichannel order management, distributed inventory, fulfillment optimization, and the fulfillment-integration discipline that survives a Black Friday.
Loyalty engines, subscription billing, and customer data platforms integrated with the commerce stack. Identity-aware, privacy-respecting, and audit-defensible.
Algolia, Elasticsearch, OpenSearch, and vector-search-backed product discovery. Semantic search with embeddings, faceted filters, and merchandising overrides.
−47%
ticket volume
Tier-1 response automation grounded in product catalog and policies. Refusal patterns, escalation gates, and explicit handoff to human agents on edge cases.
How we engage
Each phase has a deliverable, an owner, and an acceptance criterion specific to retail & e-commerce delivery.
Discovery includes peak-load modeling: traffic, conversion path, fulfillment volume, and the failure modes the post-mortem corpus has documented. Architecture sized to peak with autoscaling, CDN-first cache, and chaos-engineered failure modes.
ERP, OMS, WMS, payments, fulfillment, and identity integrations designed before storefront work begins. Explicit interface contracts, retry semantics, and the operational discipline that survives partner outages.
Consent management integrated with personalization at the data layer. Honored Global Privacy Control, regional differences (GDPR / CCPA / PIPEDA) handled architecturally, and explicit retention per data class.
Pre-peak readiness reviews, peak-season war room, post-peak retrospective, and the FinOps cadence that returns the cloud bill to baseline. Most engagements continue under Managed Services through multiple seasons.
Practices in retail & e-commerce
The capabilities below are scoped to the constraints retail & e-commerce procurement actually enforces — compliance, audit, data residency, and vendor risk.
SaaS, enterprise applications, legacy modernization, integrations, and mobile.
In Retail & E-Commerce
Headless commerce, order management, loyalty, and subscription engines — engineered for peak-season scale and PCI-DSS compliance.
Generative AI, agents, computer vision, predictive analytics, and MLOps — engineered for production.
In Retail & E-Commerce
Personalization, recommendations, demand forecasting, and customer-service AI — with privacy-respecting design and explicit consent management.
Cloud architecture, DevOps, SRE, migrations, data engineering.
In Retail & E-Commerce
CDN-first architectures with autoscaling, chaos-engineered failure modes, and the FinOps discipline retail volatility requires.
Research, design systems, enterprise product design.
In Retail & E-Commerce
Conversion-led product design, design systems for retail catalog, and the accessibility-first interfaces consumer brands actually need.
Selected work
Common questions
Workload-dependent. Shopify Plus wins for D2C brands with strong product catalog and limited backend complexity. commercetools wins for enterprise with custom commerce flows. BigCommerce is competitive in the middle. Custom builds make sense rarely — when the commerce model is genuinely outside what platforms support. We tell you which fits, in writing.
Yes — peak-season readiness is part of the discipline. Architecture sized to peak with explicit headroom, chaos-engineering rehearsals 4–6 weeks before peak, war-room cadence during peak weeks, and a post-peak retrospective. Most clients see 5–10x peak-traffic capacity vs their prior architecture.
Tokenization at the network edge, segmentation that minimizes PCI scope, and the QSA-supportable evidence pipeline that runs continuously. Most modern commerce stacks scope PCI to the payment processor; we engineer the architecture to keep it that way.
Honored at the data layer, not the cookie banner. Consent management integrated with personalization, regional differences handled architecturally, and explicit retention per data class. We respect Global Privacy Control and design for the privacy frames that haven't been written yet.
Yes. Multi-region commerce, currency, language, tax, and fulfillment localization are common engagement scope. Edge-routed architectures for international latency, region-specific data residency, and the operational discipline international peak rhythms require.
Architecture and platform-fit assessment: 4–6 weeks, $50K–$150K. Headless replatform: 5–10 months, $400K–$1.5M. Personalization / recommendations program: 4–8 months, $300K–$1M. Multi-channel order management modernization: $1M–$3M+. Managed Services: $30K–$150K monthly retainer. Brackets published honestly.
Talk to us
A senior engineer plus the relevant department lead joins the first call. No discovery gauntlet, no junior reps.