Įmonės svetainės su integruota internetine parduotuve ir įmontuotu pokalbių robotu kūrimas mados prekės ženklui
Orest Polavskyi · Vytautas Magnus University · 2026
This Bachelor thesis presents the design and implementation of a two-layer e-commerce system for a fictional high-quality fashion brand. The system consists of a hand-coded corporate website developed with HTML, CSS, and JavaScript, and an online store implemented with WordPress and WooCommerce. The main goal of the work is to create a consistent user experience across two technologically different layers and make them look and behave like a single branded digital product. The corporate website contains brand information, editorial content, policy pages, a contact function, and entry points to the store. The online store includes a product catalogue, product detail pages, product variants, cart functionality, checkout, order processing, customer account features, and payment testing using Stripe test mode. Both layers use a shared visual design system to keep typography, colours, spacing, navigation, and the header and footer structure consistent. The system also includes a support chatbot based on the OpenAI API, integrated through a server-side proxy to keep the API key secure and control the answers according to the project context. The thesis includes the analysis of e-commerce usability principles, premium fashion retail examples, technology choices, functional and non-functional requirements, information architecture, UI kit, wireframes, implementation, and testing. The implemented system was checked through functional testing and an end-to-end purchase scenario, including product selection, cart review, checkout, test payment, order creation, and email confirmation. The results show that this approach can be used to develop a coherent fashion e-commerce system by combining a lightweight corporate website with a WooCommerce-based store. The project demonstrates that visual and functional consistency between different technologies can be achieved through shared design decisions, common navigation, and carefully planned integration. The main limitations are the local development environment, limited formal user testing, and partial accessibility and performance assessment. Future development could include public deployment, extended usability testing, improved mobile behaviour, and further enhancement of the chatbot and order self-service features.