Suppliers > United States > Wise Systems

Wise Systems

Wise Systems Logo
HQ Location
United States
Year Founded
Company Type
< $10m
11 - 50
Twitter Handle
Company Description
Wise Systems builds autonomous dispatch and routing software with Machine Learning. It empowers operations teams and drivers to improve fleet efficiency and customer service, seamlessly adapting to the everyday challenges they encounter. Wise Systems automatically schedule routes, monitor routes in progress, and watch the system intelligently adjust to day-of delays. The company was founded in 2014 and is headquartered in Boston, Massachusetts.
IoT Solutions
Wise Analytics
The Wise Analytics dashboard provides real-time information for complete visibility into your fleet performance. With the ability to access detailed reports and track KPIs, Wise Analytics helps operations track daily and comprehensive metrics and identify any gaps between planned routes and actual performance.

The Wise platform also features Machine Learning algorithms that provide significant additional fleet performance improvements over time -- benefits that were not previously available to fleets. Wise uses the data it gathers from your fleet to predict how the fleet will perform in the future, and uses these predictions to significantly enhance the power and accuracy of routing. For example, Wise can predict how long it will take to complete deliveries at different times of day and suggest routes that get drivers to locations at the ideal time. This technology is being applied in many different aspect of route operations and is ensuring that the service and efficiency gains from Wise continue to increase over time.
Technology Stack
Wise Systems’s Technology Stack maps Wise Systems’s participation in the analytics and modeling IoT Technology stack.
  • Devices Layer
  • Robots
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
  • Cloud Layer
  • Platform as a Service (PaaS)
    Infrastructure as a Service (IaaS)
  • Application Layer
  • Functional Applications
  • Supporting Technologies
  • Analytics & Modeling
  • Application Infrastructure & Middleware
  • Cybersecurity & Privacy
  • Networks & Connectivity
Technological Capability:

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