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Retail and E-commerce

Commerce that scales on Black Friday and converts on a Tuesday. Built for omnichannel, priced for unit economics.

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The landscape

Retail tech has to do three things at once.

Modern retailers are running three operating models in parallel — a physical store network, a direct-to-consumer site, and a marketplace presence — with customers who expect the experience to be coherent across all of them. The systems most retailers inherited were built for one of those models, not three.

We build commerce platforms, store-systems, fulfillment / OMS stacks, and the data infrastructure that ties them together. Whether you're consolidating onto a headless commerce stack (Shopify Plus, commercetools, BigCommerce, Salesforce Commerce Cloud), modernizing an inherited monolith, or building bespoke for a category that doesn't fit a SaaS — we've seen the pattern.

We also know what's underneath the experience: PCI-DSS v4 obligations, the reality of inventory accuracy in a multi-node network, returns economics, and the fact that conversion and CAC are decided on milliseconds and design — not features in a press release.

Retail and E-commerce

PCI-DSS v4

Card-data environments engineered to spec

Headless

Composable commerce native

<2s

LCP target on storefronts

99.95%

Storefront availability target

Challenges we hear

Where retail tech programs stall

Omnichannel inventory

Stores, DCs, drop-ship, marketplaces, and reservations — most retailers have an "available to promise" number nobody fully trusts. Mis-ships and stockouts follow.

Performance & conversion

Every 100ms of added latency costs measurable conversion. Most legacy storefronts can't hit Core Web Vitals targets without re-platforming the rendering layer.

Returns economics

Online returns can exceed 25% of orders in apparel. Without a returns-aware OMS and merchandising data loop, the margin disappears post-delivery.

PCI scope creep

Card data leaks into systems it shouldn't be in. Scope reduction is a real engineering effort — tokenization, hosted fields, and the right vault choice all matter.

Customer identity

The same shopper exists three times in the loyalty system. Without a real CDP / identity-graph, personalization is wishful and CAC keeps creeping up.

Search & merchandising

On-site search converts at multiples of category navigation — and most retailers' search experience is the same one shipped with their platform in 2018.

How gmware helps

What we build for retailers and DTC brands

Headless storefronts

Next.js / Remix on Shopify Hydrogen, commercetools, BigCommerce, or Salesforce Commerce Cloud. Edge-rendered, Core Web Vitals tuned, A/B-experiment-ready.

OMS & Fulfillment

Order routing, ATP/AFS calculation, store-fulfillment, drop-ship orchestration. Manhattan, Fluent, Deck, and custom — we pick by fit.

Search & Personalization

Algolia, Coveo, Constructor, Elasticsearch, OpenSearch — with LLM-assisted query understanding where intent really helps.

Store Systems

POS modernization, clienteling apps, mobile checkout, BOPIS / SFS, returns kiosks — integrated to the same OMS the web runs on.

Retail Intelligence

Pricing & promotion analytics, competitive intelligence, inventory health, demand forecasting. Daily refreshes, store-level granularity. We power Shield Suite on this stack.

CDP & Loyalty

Identity resolution, segmentation, journey orchestration, loyalty programs. Segment, mParticle, RudderStack — or build, when integration cost is the bottleneck.

Standards & Compliance

Standards we engineer to

PCI-DSS v4

Card data environment

SOC 2 Type II

SaaS platforms

GDPR / CCPA

Consumer-data rights

ADA / WCAG 2.2 AA

Accessibility

Core Web Vitals

Performance budgets

MACH Alliance

Composable principles

EDI / GS1

Supplier integrations

3DS2 / SCA

Authentication where required

Outcomes

KPIs we help teams move

Conversion rate

By channel, device, traffic source

AOV / UPT

Basket size, items per transaction

Return rate

By SKU, by reason code

CLV / CAC

Cohort-level economics

FAQ

Common questions

For most growing brands under ~$100M GMV, a fast, well-themed Shopify or BigCommerce monolith is the right answer — composable adds cost and complexity that don't pay back. Above that, when your team needs to ship UX changes that the stock theme can't accommodate, headless starts to win. We help you make the call on real numbers, not vendor narrative.

Game-days in production-shape environments, load tests against realistic mixes (not best-case homepages), autoscaling that's been actually triggered before, and feature flags for graceful degradation (we'd rather hide a recommendation strip than time out checkout). We start eight weeks out, not two.

Tokenization at the boundary (hosted fields / Apple Pay / Google Pay), no PAN in your databases ever, segmented networks for any system that does touch card data, and SAQ-A-EP or SAQ-A scoping where possible. Most of our retail clients run under SAQ-A or A-EP — far cheaper than SAQ-D.

Yes — 24×7 support across our US and India centers, on-call rotations, runbooks, SLA reporting. Or we transition fully to your team after launch with a documented operator's manual. Either model, your call.

Services we deliver here

Products that fit

Browse other industries we serve

Re-platforming, scaling, or modernizing for omnichannel?

30 minutes with our retail practice — we'll tell you which problems are real and which are vendor noise.