The Rubyroid Labs team worked on the platform’s AI-powered chatbot that assisted users in choosing and sizing bikes in two ways:
- bike fitting: a user interacts with the AI assistant by uploading photos or videos and answering relevant questions about bike preferences. The chatbot then identifies a suitable bike model based on individual details, movements, and the user’s desired riding position. The application allows users to share link through any other application (Facebook or Twitter). After installation and registration, the link’s author and new users receive bonus dollars.
- bike sizing: using photos or videos provided by the user on their bike, the artificial intelligence analyzes the rider's pose and identifies potentially harmful positions, discomfort, or pains that may occur during cycling. To prevent these issues, the chatbot gives recommendations on how many centimeters to adjust the bicycle's seat and handlebars for a proper fit and better comfort.
April 2024 – May 2024
Canada
sport
- 1 full-stack developer
investigation of the best on-market solution
Based on the client's goals and main requirements, we conducted a thorough analysis of existing solutions on the market presented by leading companies.
After an initial investigation, we identified the most relevant chatbot integration option.
data preparation and adaptation for the AI chatbot
The client provided their training documents for the MVP version of the chatbot. We optimized the data and prepared it for the AI chatbot, ensuring proper processing for three main purposes:
- to assist with website navigation
- to analyze user inputs (both text-based questions and video analysis) for personalized bike fitting and to address physical discomfort or pain during rides
- to answer any relevant questions regarding bike selection
AI chatbot development
We developed a chatbot based on OpenAI API integration within two weeks. It was trained to comprehend human input, answer questions, and analyze digital content. The client received an initial version of the product for testing.
chatbot improvement and UI implementation
After the client’s approval, we made the necessary adjustments to the chatbot. We refined its responses and improved performance, enhancing both the speed and quality of the product.
At this stage, we also developed a user-friendly interface to integrate the chatbot seamlessly across the platform’s pages.
These improvements allowed us to get a well-functioning AI chatbot that generates relevant responses to any question and perfectly fits into the site’s user interface.
technology stack
Backend
Ruby on Rails 7
Frontend
Hotwire
result
The client received an AI-powered chatbot assistant integrated into their bike fitting and sizing platform, which significantly improved customer interactions. This implementation laid a solid foundation for future improvements and further expansion of the chatbot's functionality.
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Pavel Nahorski VP of Business Development
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