Transforming Business with AI
Discover how Urban Mobility SaaS Company achieved remarkable results with our AI solutions. From challenge to success - a real-world example of AI transformation that delivers measurable business impact and competitive advantage.
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Urban Mobility SaaS Company - Model Development & Training
Improved scooter demand prediction from 61% to 88% accuracy, reducing idle time by 26% across 50+ cities.
Challenge
The client wanted to forecast electric scooter demand across 50+ cities to optimize fleet distribution. Existing heuristic models were underperforming, leading to frequent outages and idle zones.
Solution
- 1Designed a multi-model ensemble using time-series forecasting (Prophet), spatial clustering, and weather/event data
- 2Integrated external data sources (Google Mobility, Weather APIs, local events)
- 3Used a rolling window strategy for continual model updates
Execution
- Built models in Python with integration into their backend using FastAPI
- Trained models on 3 years of city-level data, including traffic patterns and usage
- Deployed nightly retraining pipelines using Airflow and AWS Batch
Results
Key Metrics
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