Prediction Models

We combine AI methods such as neural nets or decision trees with theory-based mathematical analysis to develop prediction tools for urban delivery operations. These tools can handle large amounts of operational data and provide key performance indicators for companies as well as valuable additional information for customers.

Applications include:

• Demand prediction in mobility and delivery systems to allow for a proactive resource allocation

• Arrival time prediction for restaurant meal delivery to ensure a successful handover and high-quality customer experience

• Service time prediction for technician services to communicate accurate and narrow time windows to customers

• Behavior prediction of participants in mobility and transportation platforms to improve experience for both drivers and customers