Cambridge Mobilytics Logo

Cambridge Mobilytics

AI Models

Advanced AI and machine learning models, trained on e-mobility data, specifically designed for the e-mobility ecosystem. Each model addresses critical challenges faced by CPOs, eMSPs, and EV drivers.

MBTX-av

Connector Availability Prediction

Predicts the availability of individual stations and connectors at any point in the future. Perfect for ultra-precise dynamic pricing engines and enhanced EV routing apps.

Use Cases:
  • • Real-time dynamic pricing for charging stations
  • • EV route planning engines integration
  • • Enhanced driver experience with accurate predictions
  • • Optimize charging network utilization
MBTX-roi

Return-on-Investment Predictions

Building on MBTX-av, takes a site as input and estimates future revenues and cash flow evolution from a potential charging station. Compares different station types to optimize investment decisions.

Key Benefits:
  • • Filter unsuitable locations early
  • • Forecast revenues by station type
  • • Compare power levels and configurations
  • • Save weeks of location analysis work
MBTX-dem

Demand Forecasting

Predicts future demand for energy and charging stations in specific locations. Essential for capacity planning and resource allocation for utility companies, policy makers and CPOs.

Applications:
  • • Capacity planning for utility companies
  • • Resource allocation optimization
  • • Energy infrastructure planning
  • • Policy makers strategic decisions
MBTX-cstm

Predictive Maintenance

Forecasts when maintenance is needed before failures occur. Reduces downtime and maintenance costs while increasing customer retention: driving up to find a broken station is the #1 concern for customers!

Key Impact:
  • • Predictive maintenance scheduling
  • • Reduced unexpected downtime
  • • Lower maintenance costs
  • • Enhanced customer satisfaction
MBTX-sgm

Customer Segmentation & Marketing

Customer segmentation model and real-time recommendation system to automatically target customers with personalised campaigns. Examples include personalised notifications with targeted discounts on specific stations or dynamic offers based on usage patterns.

Key Features:
  • • Real-time customer segmentation
  • • Automated campaign targeting
  • • Personalised discount recommendations
  • • Usage pattern analysis

Two Ways To Access Our Models:

REST API for Developers

Integrate our AI models directly into your applications, route planning systems, or charging management platforms. Perfect for developers building EV solutions.

Perfect for:

  • • Route planning applications
  • • Charging station management systems
  • • Mobile apps and web platforms
  • • Real-time pricing engines
GET /api/v1/availability?station_location=123&connector_type=CCS250&time=2024-08-05T14:00
Get API Access

Market Intelligence Platform & AI Assistant

Run all models on demand through our user-friendly market intelligence platform, or integrate with your favourite AI Chatbot.

Features:

  • • Interactive dashboards and reports
  • • No-code model access with graphs and visuals
  • • MCP server for company-wide LLM integrations
  • • Real-time market intelligence
💡 Discounted access for data contributors!
View Platform

Real-World Integration Example:MBTX-av

Route Planning Revolution

How it works today:

EV route planning apps pick stations that are available at the time of the search, but you're 2h away from the first stop. Will it still be available when you arrive?

How it should work:

Using MBTX-av, route planning apps can predict availability for individual connectors and recommend stops where stations will be available when you arrive.

API Integration

Building a route planning engine? Integrate MBTX-av to only route your users to stations that will be available when they reach them.

Route Planning Application Interface
✓ Station A: Available in 2h
✗ Station B: Unavailable in 2h
✓ Station C: Available in 2h

Ready to unlock your e-mobility data?

Join the growing ecosystem of partners monetising EV charging data and building smarter mobility solutions.

Cambridge Mobilytics
Future Business Centre, The Guildhall, Cambridge, CB2 3QJ, United Kingdom
info@cambridge-mobilytics.com