Cities still mostly run on legacy infrastructure that's impossible for developers to build on top of. By connecting urban data sources with advanced algorithms and visually stunning visualizations, our software makes it easy for cities and companies to understand and build applications with their data.
For public agencies, we use fare card data to build apps that let transit planners monitor congestion and quality of service. For e-commerce companies, we solve complicated routing and scheduling problems to allow their drivers to save time and fuel when making deliveries. And for third party logistics companies, we build and design fleet management systems that enable real time fleet monitoring, driver management and proof of delivery.
The Afi Delivery Engine is a robust, web based fleet management system that both increases the operational efficiency and improves the end-to-end supply chain visibility.
It brings your delivery service up to feature parity with large logistics companies such as UPS and Fedex by allowing your staff to create, track and invoice customer orders as well as provide real time package monitoring, driver management and proof of delivery to your customers.
Afi's route optmization systems helps logistics and e-commerce companies save time and money by efficiently assigning deliveries to vehicles.
Delight your customers and increase the utilization of your fleet - our advanced routing algorithms minimize the distance your drivers need to cover while respecting time windows, vehicle capacity and other constraints.
A project of the MIT Computer Science and Artificial Intelligence Lab, TaxiViz is a Big Data solution for taxi fleets. It uses advanced algorithms and powerful big data infrastructure to distill insights and analysis from real time data. An analytics dashboard captures performance metrics and consumer experience in real time while a driver app increases fleet efficiency and profitability by directing taxis to areas of high unmet demand