Extension for Auto Retail

A custom browser extension built to streamline auto parts lookup and display critical product details directly within employees’ browsing workflow.

Client:

Sakura, Russia

Project Overview

The client engaged Axis to create a browser extension tailored for retail employees working with auto parts catalogs. The tool automatically retrieves and displays product information — including the part name and relevant notes/descriptions — directly on the web page being viewed. This reduced the need for manual searches, minimized errors, and improved employee efficiency across multiple browsers and screen setups.

Challenge

  • Ensure seamless UI integration without obstructing existing page content or browser elements (hover effects, images, navigation).

  • Guarantee responsive performance across various monitor sizes and resolutions used in retail operations.

  • Provide flexibility for employees to reposition or hide the extension UI as needed.

  • Adapt functionality to both Chrome and Opera browsers despite API nuances.

Tech Stack

  • Core Development: JavaScript, HTML, CSS for logic, structure, and styling.

  • Browser APIs: Chrome Extension API (Chromium-based compatibility ensured Opera support).

  • UI Design & Responsiveness: Flexible layout logic for repositioning, adaptive sizing, and non-intrusive overlays.

Solution

Axis delivered a lightweight and robust browser extension with:

  • Dynamic Information Display: Auto-fetches and shows product name and notes within the browsing interface.

  • UI Flexibility: Movable display window (left/right positioning), adaptable to user preferences.

  • Responsive Design: Optimized for small monitors and multi-screen setups; avoids blocking hover effects or critical UI elements.

  • Cross-Browser Deployment: Initially released for Chrome, later adapted for Opera.

  • User Control: Options to hide images or reposition elements for a cleaner experience.

Interested in building an AI-powered product recommendation?

Interested in building an AI-powered product recommendation or try-on experience?