Development of an Augmented Reality Shopping Assistant for Enhanced In-Store Experience

Retail clients face difficulties providing seamless and informative in-store shopping experiences. Customers often lack quick access to detailed product information, which can hinder purchasing decisions and reduce satisfaction. Additionally, existing systems may not effectively support real-time interaction with product data, leading to missed opportunities for upselling and personalized support.

A mid-sized retail chain aiming to improve customer engagement and product discovery through innovative shopping solutions.

• Implement a mobile or wearable augmented reality system to facilitate real-time product information retrieval.
• Enable users to scan product barcodes or labels to obtain detailed information such as product type, origin, and price.
• Allow users to add selected products to a virtual shopping cart within the AR interface, enabling total cost calculation and shopping list management.
• Improve customer engagement by providing an intuitive, hands-free solution that integrates seamlessly into the existing retail environment.
• Enhance data accuracy and retrieval speed to support a smooth and responsive user experience.

• Real-time barcode and label scanning using device built-in camera.
• Display of comprehensive product information, including name, origin, and price, on an augmented view.
• Ability to add or remove products from a virtual cart within the AR interface.
• Real-time calculation of total cost based on selected items.
• User-friendly interface optimized for handheld devices or AR glasses.

• Product database systems for retrieving detailed product info
• Inventory management systems to update stock status
• Payment or checkout systems if integrated with e-commerce

• Application must support real-time scanning and data display with minimal latency (under 1 second).
• Secure handling of product and user data, complying with relevant data protection standards.
• Scalable backend infrastructure to support increasing user volume and product database size.
• High availability and fault tolerance to ensure consistent user experience in busy retail environments.

The implementation of the AR shopping assistant is expected to improve customer engagement, increase average shopping cart size, and enhance overall satisfaction. Based on prior similar initiatives, the solution aims to support real-time product data retrieval, facilitate easier shopping, and reduce decision fatigue—potentially leading to higher conversion rates and sales uplift. The project’s success can be measured through reduced customer walkout rates, increased average transaction value, and positive user feedback.