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Get StartedE-commerce development with catalogue and search that hold at scale, payments and tax integrated properly, and a headless front end on the platform you already pay for. Peak-traffic load testing before the season rather than during it.
Our Clients



















Commerce is the one place where every engineering decision has a number attached. These four are the most common and the most measurable, and all of them are fixable without replatforming.
Steps, fields and payment options inherited from the platform default, with no data on where people actually drop.
Each step instrumented, then rebuilt in the order the funnel data justifies — usually fewer fields and payment methods earlier.
Users search, get nothing relevant, and leave. Site search converts several times better than browsing when it works.
Search rebuilt on intent with synonyms, typo tolerance and merchandising rules, measured on null-result rate rather than on relevance opinions.
Every hundred milliseconds costs conversion, and the pages carrying the most traffic are usually the heaviest.
Rendering strategy per page type, image pipeline, and Core Web Vitals budgets enforced in CI rather than measured once.
The season arrives, the checkout queues, and the incident happens on the highest-revenue day of the year.
Load testing at projected peak weeks ahead, with the bottleneck found and fixed while it is cheap.
Storefronts are easy to make look good. These are the parts that decide whether the numbers move and whether peak week is calm.
Every step of cart and checkout measured before anything is changed, so improvement is provable rather than asserted.
Field count, step order, guest checkout, wallet placement and error handling reordered around where your data shows people leave.
Faceted navigation, intent-based search with synonyms and typo tolerance, and merchandising rules your commercial team controls without a deploy.
Gateways, wallets, local methods, tax calculation and fulfilment integrations — with idempotency, so a retry never charges twice.
A fast storefront decoupled from the platform template, so design and performance stop being limited by what a theme allows.
Load testing at projected volume, caching strategy, queue behaviour under stress and a runbook for the days that matter most.
Every one of these has a conversion rate or an average order value attached, which makes the business case unusually easy to check.
The highest-leverage work in commerce. Small changes to a high-traffic funnel move revenue measurably within weeks.
Keeping your commerce backend while replacing the front end, for speed and design freedom without a full migration.
Rebuilding site search and faceting, usually the single largest conversion gap on catalogues past a few thousand SKUs.
Account pricing, quotes, approval workflows and reordering — closer to a SaaS product than a consumer store.
Vendor onboarding, split payments, commission and fulfilment across sellers.
Load testing, caching and failover before a seasonal event, where an outage costs a year of margin.
Commerce carries enormous repetitive volume: product copy across a catalogue, attribute normalisation from supplier feeds, image tagging, integration adapters per marketplace, tests per payment path. Generating that layer is where the efficiency lands, and it frees the budget for the checkout and performance work that actually moves the conversion rate.
Product copy, structured attributes and metadata drafted across thousands of SKUs from supplier data, then reviewed by your merchandising team rather than typed by them.
Messy supplier feeds mapped into your schema — sizes, colours, units and categories reconciled. Normally weeks of manual mapping per supplier.
Search logs analysed to generate synonym sets and find null-result queries, so relevance improves from evidence rather than from guessing at vocabulary.
Anything that touches money, tax or inventory is written deliberately and covered by replay tests. Catalogue efficiency is worth having precisely because it funds that care where it matters.
See our AI practiceMoney paths are security-critical and legally consequential. They are written by senior engineers and reviewed twice, with replay tests proving one charge per intent.
Product descriptions are drafted at volume and approved by your merchandising team. Nothing goes live on a model’s say-so.
Automated normalisation is sampled and verified per supplier before a catalogue import runs against live data.
Catalogue and integration work is quoted assuming this approach, so the saving appears in your estimate rather than our margin.
Commerce is the rare area where every change can be attributed to a number. That only works if the measurement exists before the work starts, so instrumentation is week one rather than an afterthought.
Every step of cart and checkout measured by device, source and segment. Most teams discover the drop is not where they assumed, which changes what gets built.
Funnel data joined with session recordings and search logs, ranked by revenue at stake rather than by ease. Usually two or three changes account for most of the upside.
Checkout, cart and product pages rebuilt around the evidence, with idempotent payment handling and error states that recover rather than dead-end.
Load testing at projected seasonal traffic, including the payment gateway and inventory service. The bottleneck is always somewhere nobody expected.
Staged rollout with the old path still available, measured against the baseline. If the number does not move we say so and try the next item on the list.
Usually on the commerce backend you already pay for, with a headless front end and integrations running in your accounts.
Usually on the commerce backend you already pay for, with a headless front end and integrations running in your accounts.
Usually on the commerce backend you already pay for, with a headless front end and integrations running in your accounts.
Usually on the commerce backend you already pay for, with a headless front end and integrations running in your accounts.

Usually on the commerce backend you already pay for, with a headless front end and integrations running in your accounts.
Case Studies
Selected work for retail, banking, telecom and defence teams, from brand identity and mobile apps to data platforms and AI assistants.
Panda
Reworked search, categories and checkout in Panda’s live app and website, in Arabic and English.
EDGE Group
Brand identity, website and print for a group of 12,000 staff, carried onto the IDEX show floor.
Mashreq NEO
Six performance areas in one index for leadership, plus NEO GPT, a private assistant for bank documents.
Brands For Less
Found where shoppers dropped off, then redesigned sign-up, banners and cart for a retailer with 120+ stores.
Omantel
Incident, SLA and workload reporting in one Power BI suite for Oman’s first telecom operator.
Client Testimonials
Client Success: Panda
We reworked Panda's live app and website, from search to checkout, for shoppers across Saudi Arabia.
Client Results
Reviewed on Upwork, Trustpilot, Clutch, G2 and GoodFirms
Work With Us
UIUX Studio offers flexible software development services with dedicated teams to meet your business needs. Whether you need an end-to-end build or specialised engineering expertise, our engagement models give you the support to launch and scale.
Access a dedicated team of engineers and QA, on-site or remote, focused on your product and your roadmap.
Get StartedGet clear, upfront pricing for a defined build, such as an MVP, an integration or a platform migration.
Get StartedGet expert engineers by the hour, perfect for code reviews, bug fixes, small features or architecture advice without a long-term commitment.
Get StartedCommerce is the easiest place to hold an engineering team accountable, because everything reconciles to revenue.
By step, device and payment method. The number the whole engagement exists to move.
Conversion and average order value together, which stops a change that lifts one while quietly harming the other.
Searches returning nothing useful. Usually the largest single conversion gap on a big catalogue.
Real-user LCP and INP on the templates carrying the most traffic, tracked per release.
Declines and gateway errors by method, separated from user abandonment so the cause is actionable.
Measured capacity against projected peak, so the answer before the season is a number rather than a hope.
From retail apps and banking dashboards to a defence group rebrand, we bring proven domain knowledge to every product we design and build.
Talk to Our Team
Streaming, OTT & content platforms

Fan engagement & live data

EdTech & learning platforms

AdTech & campaign tooling

PropTech & marketplaces

Payments, banking & wealth

Digital health & patient apps

Retail & D2C platforms

Supply chain & fleet ops

B2B products & dashboards
Conversion work sits between traffic and fulfilment, so it touches marketing, design and operations as much as engineering.
The testing programme that keeps improving the funnel after the rebuild, under growth marketing.
View service ↗Caching, autoscaling and the peak-season load testing the storefront depends on.
View service ↗Integrations with ERP, OMS and marketplaces, with idempotency on every write.
View service ↗Checkout and product page design, tested with real users before build.
View service ↗Forty-five minutes with an engineer and an analyst. We will tell you which step is losing the most revenue, whether your platform is genuinely the constraint, and what we would change first. No deck, no audit fee.
Review your checkoutBook a free consultation with our design, engineering and AI experts. Share your idea and we’ll come back within one business day with clear next steps.
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