Software for the storefront, the warehouse and the order in between
Retail & eCommerce
Retail software gets judged on its worst day: the sale event, the stock-out, the order that vanishes between channels. This practice builds storefront, checkout, inventory and personalization systems engineered for that worst day, not the demo that looks fine in a quiet week.
01Start from where the sale is lost
Name where the revenue leaks.
Retail buyers usually name one of four leaks: a storefront that buckles under peak traffic, inventory that doesn't match the warehouse, personalization that isn't converting, or orders lost between channels. Each names a different problem, and naming it narrows the route to the fitting practice.
Traffic spikes during sales events push checkout past what it was built for.Custom engineering rebuilds checkout and storefront flows to hold under real peak-season load.
Stock levels shown to customers don't match what a warehouse actually has.System integration connects inventory, warehouse and supplier systems into one accurate feed.
Recommendations and search results don't reflect what shoppers actually respond to.Personalization and recommendation models are evaluated against real conversion data before they ship.
Online, in-store and marketplace orders live in systems that don't reconcile.Data modernization joins order data across channels into one pipeline operations can trust.
Storefront & Checkout Platforms
Checkout and storefront flows rebuilt to hold under real peak-season load.
Inventory & Supply Chain Integration
Warehouse, supplier and storefront inventory connected into one accurate feed.
Personalization & Recommendations
Search and recommendation models evaluated against real conversion data.
Omnichannel Order Data
Online, in-store and marketplace orders joined into one trusted pipeline.
02Peak load as a design input
Built for the sale event, not the average day.
Retail engagements run a delivery process where peak-traffic load, inventory accuracy and payment reliability are architecture decisions made before a sale is scheduled, not patched during one. Every release is tested against order volumes closer to a flash sale than a normal afternoon.
Frame the traffic and order-volume surface
Expected peak traffic, catalogue size and payment volume are mapped before architecture begins, so a sale event doesn't become the first real load test.
A peak-load map before the buildDesign checkout to survive the sale
Queueing, caching and payment failover are built to absorb order volume well beyond a normal day, because the biggest sale always outperforms the forecast.
Architecture built to absorb the spikeValidate inventory against the actual warehouse
Stock and fulfillment data is tested against real warehouse and supplier feeds before launch, so a customer never orders something that isn't there.
Inventory tested against real stockShip behind a load-tested rollout
Every release is rehearsed against simulated peak order volume first, so the sale event never becomes the first place a bug appears.
A release rehearsed under order load
03What retail and ecommerce teams buy by name
Storefront, order management, PIM or integration, with the standards each must clear.
Retail technology leaders search for a headless storefront, a Shopify or Adobe Commerce build, an order management system or a payment integration, not a development shop. Each row pairs that request with what gets built, the platforms and standards in play, and the practice accountable for it.
| What you need | What we build | Standards and integrations | Where it lives |
|---|---|---|---|
| Headless commerce build | A composable storefront on a headless commerce backend, with server-rendered product pages and a checkout tested at flash-sale load. | commercetools, Shopify Hydrogen, BigCommerce, Next.js, Core Web Vitals thresholds | Web Application Development |
| Shopify or Adobe Commerce development | Custom themes, apps and extensions on a platform storefront, plus migration from an older cart without losing catalogue or rankings. | Shopify Plus and Shopify Functions, Adobe Commerce 2.4, Liquid, PHP | Custom Software Development |
| Order management system | One order record across web, store, marketplace and returns, with split shipments, allocation and status events operations can trust. | GS1 GTIN and SSCC, EDI X12 850, 855 and 856, Amazon SP-API, ShipStation | Enterprise App Development |
| Inventory and warehouse integration | Stock levels, supplier feeds and warehouse events synchronised so the storefront never sells what the warehouse no longer holds. | EDI X12 846 inventory advice, GS1 EPCIS, GS1 EPC RFID, ERP and WMS APIs | System Integration |
| Payment and checkout integration | Multi-gateway checkout with failover, tokenised cards, wallets and fraud screening, kept outside your PCI scope. | PCI DSS 4.0, 3-D Secure 2, Stripe, Adyen, Apple Pay and Google Pay | API Development |
| Recommendation and site search | Recommendation, search ranking and merchandising models judged on purchases after the click, not click-through alone. | Algolia or Elasticsearch, Google Merchant Center feeds, GA4 events, Schema.org Product markup | AI & Automation Hub |
PCI DSS 4.0
Card data never touches your servers when checkout uses hosted fields and tokenisation. Architecture is drawn to keep the storefront in the smallest PCI scope that still allows failover between gateways.
GS1 GTIN, SSCC and EPCIS
Product, pallet and shipment identifiers shared with suppliers and marketplaces come from GS1. Catalogue, inventory and order models key on them so a SKU means the same thing in every channel.
Shopify, Adobe Commerce and commercetools
Platform choice decides what is configured, what is extended and what has to be custom. Builds start from the platform's own extension model so upgrades stay possible after launch.
EDI X12 for retail supply
Purchase orders, acknowledgements, advance ship notices and inventory advice still travel as X12 850, 855, 856 and 846 documents. Integrations translate them once, at the edge, into the order and stock model.
04Evidence and proof
Storefronts and warehouses that held on the worst day.
Retail proof has to show the system surviving peak load, not a quiet demo. These previews show that standard while written client approvals are collected.
Explore case studies
A checkout platform that held through its biggest sale day ever.
Marlowe & Finch's storefront had failed during a previous peak sale event. The rebuilt checkout absorbed record order volume the following year without a single failed payment.
- Order volume vs prior peak
- Record, no failures
- Failed payments
- Zero
Inventory that finally matched the warehouse.
A multi-channel retailer sold items online that its warehouse had already run out of, generating refunds and complaints. Connected inventory feeds closed the gap and cut out-of-stock orders sharply.
- Out-of-stock orders
- Cut sharply
- Inventory feeds connected
- Warehouse to storefront
They rebuilt our checkout for the sale we were dreading, not the traffic we were used to.
Sample · pending client approval
05Four doors into retail engineering
Enter through the practice matching the leak.
A storefront under load, disconnected inventory, underperforming personalization and orders lost between channels each need a different starting point. The doors below route each situation to its practice, and every one carries the same peak-load discipline.
- Custom Software Development
Rebuild checkout for peak traffic
Custom engineering for storefront and checkout flows that hold through a real sale event.
- System Integration
Connect inventory and supply chain
Warehouse, supplier and storefront systems integrated so stock numbers finally agree.
- AI & Automation
Rebuild personalization and search
Recommendation and search models retrained and evaluated against real conversion data.
- Data Modernization
Join orders across every channel
Online, in-store and marketplace order data joined into a pipeline operations can trust.
06Straight answers
Asked before a retail platform launches.
01Can you build a storefront that survives a big sale?
Yes, that is the specific problem this practice is built around. Checkout, payment and inventory paths are load-tested against simulated peak order volume before a sale event, not discovered live.
02Do you integrate inventory across warehouses and suppliers?
Yes, connecting warehouse management, supplier feeds and storefront inventory into one accurate view. The integration is built so a customer never sees stock that has already sold out elsewhere.
03How do you build personalization that actually converts?
Models are trained and evaluated against real conversion data, not click-through alone. We track what shoppers buy after a recommendation, and a model that only improves clicks does not ship.
04Can you unify orders across online, in-store and marketplace channels?
Yes, joining order, inventory and fulfillment data from every channel into one operational pipeline. Support and fulfillment teams then work from the same order status instead of three disagreeing systems.
05What does ecommerce software development cost?
It follows the traffic and integration surface a scoping engagement maps, since a storefront rebuild and a full omnichannel platform carry very different risk. The estimate reflects your actual scale, not an average.
06Can you migrate a legacy ecommerce platform?
Yes, usually by running the new storefront alongside the old one until catalogue, pricing and checkout are proven equivalent. Nothing switches over until the migration is tested against real order volume.
07Do you handle payment gateway integration?
Yes, across multiple gateways and payment methods, with failover built in so a single provider outage never stops checkout. Each integration is tested against real transaction volume before launch.
08Can you take over an existing storefront or checkout platform?
Yes, beginning with a performance and integration assessment rather than assumptions. The handover includes a stabilisation plan so the storefront keeps taking orders while new capability gets built underneath.