Development of an AI-Powered Product Recognition Mobile Application

eCommerce

Media

Advertising & marketing

Challenges in User Engagement and Product Discovery in Visual Commerce

The client faces difficulties in providing an intuitive, visually appealing interface that allows users to effortlessly recognize and locate products within photos and videos, potentially leading to low user adoption and engagement due to UI/UX inconsistencies, non-transparent algorithm interaction, and inadequate onboarding processes.

About the Client

A mid-sized technology startup specializing in visual recognition algorithms, aiming to integrate their innovative product identification technology into a user-friendly mobile app for consumers to easily find products online through photos and videos.

Goals for Creating an Intuitive, Interactive Product Recognition App

Design a visually appealing, user-friendly mobile application interface for both iOS and Android platforms supporting multiple languages.
Implement a robust onboarding experience to educate users on app functionalities.
Develop a comprehensive design system including layouts and UI components to ensure consistency across the app.
Create functional modules allowing users to upload images, watch live video content, access news and social media feeds, and manage favorite products.
Enable seamless recognition of products within images, videos, and TV broadcasts, with links to online stores for product purchasing.
Develop interfaces for embedding recognition widgets into media players during TV broadcasts.
Ensure initial version supports over 280 comprehensive screens with consistent styling for rapid development and deployment.

Core Functional Specifications for Visual Recognition Mobile Platform

Image and video recognition modules enabling product identification within uploaded photos, videos, and live broadcasts.
Interactive interface with main sections: home, video streaming, news articles, favorites, and settings.
A user-initiated recognition feature activated via a dedicated button, displaying corresponding products with filtering options.
Favorites management system for saving recognized products and images.
Onboarding screens introducing app functionalities to new users.
Web and media player widget integration for real-time recognition during TV broadcasts.
A comprehensive UI kit and layout library supporting scalable design and development workflows.

Technology Stack and Design Tools for Mobile App Development

Cross-platform mobile development frameworks (e.g., React Native, Flutter)

Design tools such as Figma, Adobe Photoshop, After Effects

UI Kit and component-based architecture for consistency and scalability

External System and Media Integration Requirements

Media player SDKs for embedding recognition widgets into live TV broadcasts
APIs for online product catalogs and filters
Content management systems for news and article updates

Performance, Security, and Usability Expectations

High responsiveness with minimal latency in product recognition interactions
Support for at least 2 languages (localization for broader reach)
Scalability to handle increasing user base and multimedia content
Strong security measures to protect user data and privacy

Anticipated Business Benefits of the Recognition App Project

The new application aims to significantly improve user engagement by providing an intuitive and seamless product discovery experience, with a target to streamline over 280+ UI screens and rapidly deploy updates. It is expected to increase user adoption rates, bolster online shopping conversions via integrated product links, and enhance brand perception through a modern, consistent visual identity. Additionally, embedding recognition widgets into media broadcasts will expand reach and integration opportunities.