Overview
Our client aimed to address global issues such as depression, loneliness, poverty, and crime by connecting neighbors for socializing, hiring, trading, and more. However, they faced challenges in enhancing user experience during onboarding and interaction on the platform. We tackled these challenges by implementing AI-driven solutions to automate and streamline various processes, significantly improving user satisfaction and engagement.
Problem
Our client faced two primary challenges:
- The time-consuming and error-prone process of manually entering user details during profile creation. This led to user frustration and high drop-off rates during onboarding.
- The cumbersome and inefficient multi-level category selection process for requests and offers was time-consuming and cumbersome, reducing user engagement and satisfaction.
Solution
To address these problems, we developed and integrated AI solutions for profile creation and category selection.
1. Enhancing Profile Creation with AI
- Data Collection and Preprocessing: Users create profile videos and those videos are uploaded to Firebase. The video URL is then shared with the AI. Using Whisper, the AI extracts sentences from the audio and automatically fills in user details such as name, profession, date of birth, language, gender, and marital status.
- Model Training: The extracted data is used to train the AI model to fill in user details during profile creation accurately.
- Integration with Platform: The trained AI model was integrated into the Client platform to automate the profile completion process.
Impact
- Reduced Time: The time required for profile completion was significantly reduced.
- Minimized Errors: The AI minimized errors in user details, improving data accuracy.
- Increased Engagement: Users were more likely to complete their profiles and engage with the app after signing up.
2. Enhancing Category Selection with AI for Request Creation
- AI for Request Videos: Users record request video and that video is then uploaded to Firebase. The video URL is then shared with the AI. Using Whisper, it extracts sentences from the audio and matches them with predefined categories.
- AI for Manual Sentences: An AI API analyzes user-written sentences and automatically identifies relevant categories.
Impact
- Decreased Time: The time required for category selection decreased from 2 minutes to approximately 60 seconds.
- Enhanced Satisfaction: Users experienced a smoother and more intuitive category selection process.
- Improved Accuracy: The AI improved accuracy in matching categories, leading to more relevant user requests and offers.
Results
The implementation of these AI-driven solutions resulted in significant improvements:
- Efficiency: Both onboarding and category selection processes became more streamlined and efficient.
- User Engagement: Increased user satisfaction and participation on the platform.
Conclusion
The integration of AI technologies has significantly enhanced the user experience by automating tedious processes and reducing the time required for profile creation and category selection. These improvements have led to higher user engagement and satisfaction, better fulfilling the mission of fostering stronger community connections and addressing critical social issues.