Case study · ZapchastAvto

Auto parts online store development for ZapchastAvto

We built an auto parts online store from scratch, connecting vehicle and model selection, a structured product catalogue, supplier price synchronisation, practical filters and comprehensive SEO. The project turns complex automotive product data into a clear journey from finding a part to placing an order.

Homepage of the ZapchastAvto auto parts online store developed by WebUI Studio
ZapchastAvto · Homepage of the delivered website
From scratch
full-cycle development
Vehicle selection
vehicle → category → part
$10,000
historical project budget

Architecture · data · commerce

Turning a complex auto parts catalogue into one coherent store

The challenge was not an individual screen but the relationships between vehicles, parts, categories and supplier prices. We designed them as one system so the catalogue could support both practical shopping and future development.

01

Full-cycle delivery, starting with the business workflow

We started with the way people buy auto parts: what they know about their vehicle, how they identify a part and when they need technical information. Those journeys informed the store structure and interface. Building from scratch let us organise the catalogue around vehicle selection and supplier data instead of adapting the business to the limitations of a ready-made theme. Our responsibility covered the complete implementation, including its technical and SEO foundations.

02

Starting with the customer’s vehicle

A customer may not know a part number but can identify their vehicle. We implemented vehicle and model selection as a starting point, followed by the relevant product group and more specific filters. Direct catalogue browsing remains available alongside it. These paths support different levels of experience: one person can look up a known part, while another begins with the car. Vehicle selection narrows the results; it does not replace checking the technical specifications of the particular part being purchased.

03

Connected data rather than a flat product list

Products, vehicles, models, attributes and supplier data were treated as related entities. That distinction matters in automotive commerce: a category describes the kind of part, a model provides its application context, and pricing comes from a separate source. Putting everything into a product name makes filters and catalogue expansion difficult to maintain. Our architecture separates those responsibilities while connecting them in the shopping journey. This foundation is more important than making the store resemble a conventional product showcase.

04

Synchronising prices from multiple suppliers

Auto parts pricing is closely connected to supply. We implemented price synchronisation from different suppliers and linked it to the catalogue. This provides a systematic update process rather than editing each product price independently. The integration must relate incoming data to the relevant product, not simply receive a file. Supplier data handling therefore became part of the store architecture instead of a separate spreadsheet beside the website. The actual sources and exchange rules depend on the suppliers involved in the project.

05

Categories and filters that narrow the decision

A broad assortment needs several levels of selection. Categories establish the product group, while filters narrow the relevant options by their attributes. We connected those tools to vehicle selection so browsing would form a coherent journey rather than require customers to explore the entire store again. Good filtering explains the available choice instead of presenting the largest possible list of controls. The useful sequence is vehicle, product group, relevant refinements and finally the individual part.

06

Search by name, part number and OEM reference

Repeat purchases and professional parts research need a shorter route than browsing through categories. The store offers search by product name, part number or OEM reference. This complements vehicle selection rather than replacing it. The interface explains what information can be entered, reducing uncertainty about the expected query. Direct search and guided browsing provide different entry points into the same catalogue for customers who arrive with different levels of knowledge about the required part.

07

Connecting product research to order placement

After narrowing the results, customers need to examine a particular part and proceed towards a purchase. Product detail, cart and order placement therefore continue the catalogue journey instead of behaving as unrelated screens. Product and price information need to remain understandable through that transition. Dedicated delivery, payment, warranty and returns pages address practical questions before a customer contacts the store. The website supports both identifying a part and preparing to place an order.

08

SEO architecture for categories, models and products

Comprehensive SEO was included in development. We worked on page hierarchy, headings, metadata, internal navigation and the technical foundations of indexation. A category, vehicle model and individual part answer different search intentions, so the structure needs to distinguish them. Internal links connect those levels instead of leaving product pages isolated. This provides a basis for continued organic development: new products should enter an understandable system rather than expand a disconnected collection of URLs.

09

Useful filters without uncontrolled page duplication

Combinations of vehicles, categories and filters help shoppers, but not every result needs to become a search landing page. The SEO work considered the distinction between navigational states and pages intended for indexation. This involves URL structure, canonicalisation, metadata and internal access to relevant pages. The objective is to retain a complete selection experience for customers while providing a coherent catalogue for crawlers. Adding a title or H1 alone does not solve the architectural challenges of a large store.

10

A mobile interface for multi-step parts selection

Selecting a vehicle, category and technical attributes on a phone requires a particularly clear hierarchy. We adapted the store for smaller screens while retaining access to search, catalogue navigation, filters and the cart. The objective is not simply to shrink desktop blocks but to make the current selection step understandable. Customers need to distinguish their vehicle context from product attributes and recognise the next action. Responsive design is therefore part of the parts-selection functionality, not just the appearance of the homepage.

11

What the $10,000 project budget represents

The delivered project had a budget of $10,000. That covered more than a storefront design: development from scratch, product relationship architecture, vehicle selection, catalogue filters, supplier price synchronisation and comprehensive SEO. It is the historical budget of this particular implementation and its scope. A different store requires a separate estimate based on its data structure, integrations and shopping journeys. A case-study budget is useful context, not a fixed quotation for a new project.

12

The outcome: one system instead of disconnected modules

ZapchastAvto received an online store where vehicle selection, categories, search, product pages and supplier pricing share one architecture. Customers have a connected path towards a relevant part; the business has a technical foundation for managing its assortment and developing the store further. Delivered functionality is the outcome documented here. We do not substitute assumptions for sales or organic traffic results: those require separate post-launch measurements and comparable reporting periods.

Case study · ZapchastAvto

Auto parts online store development for ZapchastAvto

We built an auto parts online store from scratch, connecting vehicle and model selection, a structured product catalogue, supplier price synchronisation, practical filters and comprehensive SEO. The project turns complex automotive product data into a clear journey from finding a part to placing an order.

Industry
Auto parts and automotive e-commerce
Solution type
Auto parts online store
Primary goal
Connect part discovery, vehicle selection and supplier price updates within one online store
01

Challenge and constraints

An auto parts store needs more than product photographs and prices. Parts must be related to vehicle models, a deep category hierarchy must remain usable, technical attributes need to support selection, and prices arrive from multiple suppliers. The catalogue also needs a coherent search architecture without turning every filter combination into a duplicate page.

02

How the solution was designed

WebUI Studio delivered the complete store: architecture, interface, product catalogue, vehicle selection, category filters and supplier price synchronisation. SEO was part of the implementation rather than an afterthought, covering page structure, metadata, internal navigation and technical indexation rules. The result is an integrated automotive sales platform instead of a collection of disconnected features.

  • 01Custom online store architecture built from scratch
  • 02Parts selection by vehicle and model
  • 03Multi-level categories and filters to narrow product results
  • 04Price synchronisation from multiple suppliers
  • 05Product search by name, part number or OEM reference
  • 06Product detail pages connected to catalogue and selection journeys
  • 07Shopping cart and order placement journey
  • 08Responsive interface for mobile shopping
  • 09Comprehensive SEO for the store structure and technical foundations
  • Customers can start with their vehicle or a category and narrow their way to a relevant part
  • Supplier synchronisation connects price updates to the product catalogue
  • Categories, vehicle models and products form coherent navigation and search entry points
  • The custom architecture provides a foundation for catalogue growth and additional shopping journeys
01

Analysis

We identified the audience, primary user scenarios and the information customers need before their first enquiry.

02

Structure and UX

We planned the page hierarchy and content around a real action — selection, enquiry, purchase or consultation.

03

Design and development

We combined a custom visual direction with responsiveness, performance and manageable functionality.

04

Testing and growth

We verified key scenarios and prepared a structure that can continue to develop after launch.

01What did WebUI Studio build for ZapchastAvto?

We built the auto parts online store from scratch: architecture, interface, catalogue, vehicle selection, categories and filters, price synchronisation from multiple suppliers and comprehensive SEO. Our team was responsible for the complete implementation.

02How do customers select parts for their vehicle?

Customers choose a vehicle and model, open the relevant product group and narrow their selection with filters. Search by name, part number or OEM reference provides another entry point. Vehicle selection narrows the catalogue; the technical specifications of a particular part still need to be checked before purchase.

03How are different supplier prices handled?

The store synchronises prices from multiple suppliers through a data layer connected to its product catalogue. Sources, exchange formats and update rules depend on the project integrations rather than a universal store template.

04What SEO work was included in the project?

The project included comprehensive SEO: category and product page structure, metadata, headings, internal links and technical indexation rules. Particular attention went to the relationship between the catalogue, vehicle selection and filters. This case study describes delivered work, not a guarantee of Google rankings.

05What was the ZapchastAvto development budget?

The delivered project had a budget of $10,000. This is the historical cost of this particular custom store with vehicle selection, supplier price synchronisation and SEO, not a fixed price for every future e-commerce project.

06Why does an auto parts store need custom catalogue architecture?

A product group may contain parts for different vehicles, while pricing data comes from different suppliers. The architecture must connect those relationships without confusing customers or creating uncontrolled duplicate pages for search engines.

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