E-commerce
E-commerce development
Online stores where the catalogue is structured properly, filtering answers the question a buyer is actually asking, and the checkout does not shed people between the basket and the confirmation page.
Problems this solves
- The catalogue is large, and the only way to find anything is to already know its name.
- Product pages do not carry the information that decides the purchase, so buyers leave to check elsewhere and do not come back.
- Category pages are slow, because every filter change reloads the whole page.
- Variants, compatibility or stock rules do not fit the platform, so they live in the product description as text.
- Category and product URLs were generated by a plugin and cannot be changed without breaking every indexed link.
Who it is for
Retailers, distributors and brands whose catalogue has real structure - variants, compatibility, technical specifications - and who are losing buyers to a storefront that cannot express it.
What is included
Product and category modelling
Attributes, variants and relationships worked out first, because filtering, comparison and search quality all depend on the model underneath rather than the interface on top.
Discovery that works
Faceted filtering, sorting and search designed around how buyers in your sector actually narrow a choice, with the state reflected in the URL so a filtered view can be shared and linked.
Product pages that close
Specifications, compatibility, availability, delivery expectations and imagery presented so the buyer does not need a second tab open.
Checkout without leaks
A short, clear path from basket to confirmation, with card payments, honest delivery costs shown before the final step, and error states that explain what to do.
What you receive
- A designed and built storefront with catalogue, product, basket and checkout flows
- A product data model that supports your variants and attributes
- Faceted filtering with crawl-safe URL handling for filtered views
- Card payment integration and order confirmation flow
- Product structured data matching what is visible on the page
- Responsive product imagery with correct sizing and no layout shift
- Redirect map from old product and category URLs where a store is being replaced
How we work
- 01
Model
Catalogue structure, attributes and variants defined before any interface work.
- 02
Design
Category, product and checkout screens designed and reviewed against real products.
- 03
Build
Storefront, filtering and payment flows shipped in reviewable increments.
- 04
Launch
Redirects, structured data, performance and indexing checks, then go live.
Performance, accessibility and search
Catalogue pages that render fast
Category and product HTML is server-rendered, images are sized and served in modern formats, and only the media in view is loaded.
Filters that do not create duplicate pages
Filtered and sorted views use canonical URLs pointing at the clean category page, and parameter combinations are kept out of the sitemap and out of the index.
Accessible buying flow
Every control in the basket and checkout is reachable by keyboard, every field is labelled, and validation errors say what is wrong and where.
What we build with
- React
- TypeScript
- Server-side rendering
- Stripe
- Structured product data
- Cloudinary media
Integrations
- Stripe payments
- Delivery and courier pricing
- Stock and ERP feeds
- Transactional order email
- Analytics and e-commerce events
- Product feed exports
Cost and timeline
We do not publish fixed prices or delivery times, because scope changes both by an order of magnitude. You get both in writing, specific to your project, before any commitment.
What drives the price
- Catalogue size and how complex the variant and attribute structure is
- Whether product data exists in a usable form or needs cleaning and restructuring
- Payment, delivery and invoicing requirements
- Whether stock and pricing come from an existing system that must stay authoritative
- How much of the design is bespoke
- Whether an existing store has to be migrated with its URLs preserved
What drives the timeline
- Readiness and quality of product data and imagery
- How many integrations sit outside your control
- Whether a migration and redirect map are needed
- How settled delivery and pricing rules are
- Review turnaround on category and product templates
Related work
- Commerce
Avangard Parts - Automotive Parts Store
A completed automotive e-commerce platform with a bilingual catalogue, fast product discovery and custom administration.
Read the case study - Websites
Planirent - Car Rental Website & Reservation Flow
Custom car rental website and reservation system with card payments, availability logic, and practical operator workflows.
Read the case study
Frequently asked questions
For a straightforward catalogue with standard variants, Shopify is often the correct and cheaper answer, and we will say so. Custom becomes worth it when your product model, pricing rules or integrations do not fit what the platform assumes, or when the storefront itself is a competitive differentiator.
That is the main risk in any migration, and it is handled with a complete URL map: every old product and category URL gets a single permanent redirect to its new equivalent, with no chains, plus preserved metadata and a resubmitted sitemap. Nobody can guarantee rankings, but a clean migration is the difference between a small dip and a long one.
They do when every filter combination becomes its own indexable URL. We make filtered views usable and shareable while pointing their canonical at the clean category page, so crawl budget goes to the pages that should rank.
Yes, and that is precisely the kind of requirement that pushes a project off a template platform. It is modelled as real data with real relationships rather than as text in a description field.
Ready to start?
Tell us about your project and we will come back with a clear, honest plan.
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