CitySwift provides a data-driven bus scheduling and performance optimization platform that utilizes advanced analytics and proprietary algorithms to enhance network efficiency and service reliability. By delivering actionable insights and forecasts, the platform enables bus operators and authorities to improve resource allocation and meet passenger demand effectively.
Funding
$16.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
GHFounders
Product
Problem
Bus operators and authorities often struggle to efficiently manage network performance and resource allocation due to a lack of comprehensive data insights and forecasting capabilities. This can lead to unreliable service, inefficient resource utilization, and an inability to effectively meet passenger demand.
Solution
CitySwift offers a performance optimization platform that leverages advanced analytics to provide bus operators and authorities with actionable insights and intelligent recommendations. The platform's data engine automatically cleans and enriches raw network data, delivering a single source of truth for confident, data-driven decision-making. By tracking demand and understanding passenger needs through origin-destination algorithms, CitySwift enables informed service and frequency reviews. The platform's recommendations and predictions help maximize service profitability and optimize resource allocation, leading to improved reliability, punctuality, and cost savings.
Target Audience
The primary target audience includes bus operators, transport groups, regulated operators, and franchised authorities seeking to optimize network performance, improve service reliability, and enhance resource allocation.
Features
- Advanced analytics for intelligent decision-making regarding bus network performance
- Simulation and optimization tools for maximizing productivity and asset utilization
- Customizable dashboards for data-driven stakeholder management and collaboration
- Automated data processing and enrichment to ensure data quality and transparency
- Origin-destination algorithms to showcase passenger boarding/alighting and bus occupancy insights
- Demand forecasting to improve reliability and resource use