Smart Mobility With AI
Client Overview:
Touch And Pay Technologies is a leading fintech company specializing in micro-payment solutions for urban commuters across Africa.
Challenges:
- Extracting actionable insights from vast amounts of collected commuter data.
- Understanding commuter behaviours and patterns to improve service delivery.
- Optimizing internal processes for increased efficiency and reduced operational costs.
Our Approach:
- Conduct comprehensive exploratory data analysis (EDA) to identify key patterns and trends.
- Develop custom machine learning models, including Convolutional Neural Networks (CNN), to predict commuter behaviours and optimize route planning.
- Provide detailed visualizations and reports highlighting revenue trends, peak usage times, and customer segmentation.
- Recommend strategies for dynamic pricing and resource allocation based on data insights.
- Facilitate workshops to upskill the client’s team in utilizing AI tools and interpreting data effectively.
Results:
- Enhanced understanding of commuter patterns leading to improved service scheduling and resource management.
- Increased revenue through optimized pricing strategies and targeted marketing efforts.
- Reduced operational costs by identifying and addressing inefficiencies in internal processes.
- Empowered internal teams with AI knowledge, fostering a data-driven culture within the organization.
