Data & Analytics for E-commerce
Pipelines, dashboards, and decision tooling. Engineered for E-commerce.
IRPR.io builds data infrastructure and analytics tooling for product, marketing, and operations teams. From event instrumentation to BigQuery / Snowflake warehouses to ML pipelines and executive dashboards, we make your data a strategic asset - not a backlog.
IRPR.io builds e-commerce platforms for DTC brands, multi-brand retailers, and B2B commerce operators. From Shopify Hydrogen storefronts to fully custom Medusa and bespoke commerce backends, we deliver high-performance, SEO-ready commerce that measurably lifts conversion and scales under campaign traffic.
When IRPR.io builds data & analytics for E-commerce organizations, we bring both the deep technical craft of our global engineering team and a working understanding of E-commerce-specific realities: Storefront performance and Core Web Vitals under load, Payment, tax, and fraud complexity across regions, Inventory, OMS, and 3PL integrations. Every engagement we run in the E-commerce space is compliance-aware from day one, with PCI-DSS, GDPR, CCPA baked into architecture decisions — not bolted on at the end.
Every engagement runs through our IRPR framework — Idea, Roadmap, Product, Release. Fixed price set in week 2. Senior engineers from kickoff to handoff. No ticket-counting.
Engineered to ship.
Data engineers, not SQL jockeys
Real pipelines with real SLAs - not scripts that break on weekends.
Product-first thinking
We start from the decision you need to make, then build backward.
Compounding value
Every dataset we ship enables the next one. Your data maturity climbs.
The challenges we design around.
Every sector has its own gravity — the constraints, integrations, and audit pressures that bend a build. We treat them as inputs to architecture, not afterthoughts.
Storefront performance and Core Web Vitals under load
Storefront performance and Core Web Vitals under load. We design data architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
Payment, tax, and fraud complexity across regions
Payment, tax, and fraud complexity across regions. We design data architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
Inventory, OMS, and 3PL integrations
Inventory, OMS, and 3PL integrations. We design data architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
SEO competitiveness in crowded categories
SEO competitiveness in crowded categories. We design data architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
B2B pricing, quoting, and account
B2B pricing, quoting, and account-hierarchy logic. We design data architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
Concrete builds, not slideware.
Patterns we've shipped to production — not capabilities we'd be willing to try. Every entry below has at least one engagement behind it.
Headless Shopify storefronts (Hydrogen, Remix)
Where data meets headless shopify storefronts (hydrogen, remix): shipped patterns, regulated by E-commerce workflows, with the audit trail and operational telemetry your team needs from day one.
Custom commerce backends (Medusa, Commercetools)
Where data meets custom commerce backends (medusa, commercetools): shipped patterns, regulated by E-commerce workflows, with the audit trail and operational telemetry your team needs from day one.
Subscription commerce platforms
Where data meets subscription commerce platforms: shipped patterns, regulated by E-commerce workflows, with the audit trail and operational telemetry your team needs from day one.
B2B wholesale portals with complex pricing
Where data meets b2b wholesale portals with complex pricing: shipped patterns, regulated by E-commerce workflows, with the audit trail and operational telemetry your team needs from day one.
Marketplace and multi-vendor platforms
Where data meets marketplace and multi-vendor platforms: shipped patterns, regulated by E-commerce workflows, with the audit trail and operational telemetry your team needs from day one.
Audit-ready by architecture.
Controls designed into the system from the architecture phase — first-pass audits are the norm, not the exception.
Payment-flow segmentation, tokenization, and scope-reduction so QSAs see a small, defensible cardholder environment.
Lawful-basis tracking, data-subject rights, cross-border transfer mechanics, and retention enforcement done right.
California consumer privacy controls integrated into product flows, opt-outs, and data-deletion pipelines.
WCAG 2.2 AA accessibility designed in, audited with assistive tech, and proven via VPAT.
Hand-off, not just hand-over.
Every engagement ends with a working codebase, runbooks, and a team trained to operate it. No undocumented black boxes.
- Core Web Vitals report + CRO instrumentation plan01
- Inventory / OMS integration diagram02
- Production codebase + infrastructure-as-code03
- Staging and production environments with parity04
- CI/CD pipeline with automated tests and rollback05
- Observability stack (logs, metrics, traces) wired in06
- Architecture documentation and runbooks07
- Knowledge-transfer sessions with your engineering team08
Idea → Roadmap → Product → Release.
What are you actually building — and for whom.
Fixed price, fixed scope, fixed timeline. No surprises.
Senior engineers ship the build — weekly demos.
Production, on-call runbooks, and your team trained.
Explore what we ship.
Questions worth answering.
Let's turn your idea into a release.
Tell us what you're building. We'll come back in five days with a roadmap, a fixed price, and a dedicated team ready to ship.