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The perfect interior with AI - furniture and decorations with AI image search

Software Engineering
System Integration
UI/UX Design
Customer:Otto GmbH & Co. KGaA
Industry:Trade

On behalf of the Otto Group, P&M developed the Otto Alike app - an AI-based image search app for furniture and decoration. Using machine learning, the app recognizes shapes, colors and patterns and suggests suitable products from over 100 online stores.

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AI-supported image search

Object detection and machine learning are used to analyze visual features such as shapes, colors and materials. The app recognizes the uploaded object and provides suitable product recommendations from a database of over three million items.

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Intuitive user guidance

A clear, modern UX makes it possible to carry out search queries with just a few clicks. All previous search results are saved and can be called up again at any time.

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Modern UI & performance

The UI design specifically appeals to the lifestyle-oriented target group - clear, inspiring and mobile-optimized. A high-performance architecture ensures fast loading times and a smooth user experience.

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Challenges

Making complex AI technology easy to use

The challenge was to integrate machine learning technologies in such a way that users receive suitable results in seconds - without any technical knowledge. The app had to ensure both accuracy and speed.

  • Integration of complex object detection models in a mobile application
  • Processing and categorization of over 3 million product data
  • Ensuring stable performance with high data loads
  • Creating an intuitive UX for non-technical target groups
Implementation

AI meets design and user focus

P&M developed the Otto Alike app as an end-to-end project. From conception to live operation. The focus was on a smooth user experience, an inspiring design and high-performance machine learning integration.

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UX/UI conception

Definition of user journeys, information architecture and wireframes. Goal: Simple operation with maximum functional depth.

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AI integration & object detection

Implementation of machine learning models for visual product recognition. Models were continuously trained to optimize the hit rate.

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System integration

Connection to the Otto Group's product ecosystem with access to over 100 stores and millions of item data.

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App development

Implementation as a high-performance mobile app with fast image processing and reactive result display.

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Testing & machine learning optimization

Continuous improvement of recognition quality through user interaction and feedback data.

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Rollout & scaling

Successful app launch with continuous expansion of the product database and AI functionalities.

Result

Visual AI as a game changer in online retail

With Otto Alike, the Otto Group is setting new standards in e-commerce: customers can discover furniture and decorations simply, quickly and inspiringly using a photo. The app learns with every use and thus ensures an increasingly personalized shopping experience.

  • AI-supported product search for over 100 stores

  • Increasing recognition accuracy through machine learning

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