Market Overview

10 Innovative Use Cases of IoT in the Transport and Logistics Sector -


The "Innovative
Use Cases of IoT in the Transport and Logistics Sector"
has been added to's offering.

While the level of interest in the Internet of Things (IoT) has been on
the rise among enterprises on a global scale in the transport and
logistics sector, many of them face challenges in defining use cases
that enable them to generate new sources of revenue. There is a need to
gain new capabilities in terms of domain expertise and technical
know-how. Some enterprises have invested substantially in analytics
platform and vertical expertise, others have entered into cross industry
collaboration with enterprises outside their industry.

At the same time, if enterprises decide to rapidly implement IoT without
changing their operating model, they face challenges in delivering the
new solution. Regardless of how they go about doing it, IoT has enabled
them to gain new insights that they did not have in the past to bring
about new service offering that differentiate them from their

This report looks at how enterprises in the Transport and
Logistics sector have found 10 use cases and have gained from IoT in the
following ways:

  • Enhancing customers' experience while using sensors installed in cars
    to collecting real time information on traffic flow and drivers'
  • Diversifies between selling cars and renting cars on members' usage
  • Aiding the tourism sector and generating revenue by providing tourists
    with hotspot heat maps with a smartphone app.
  • Using small data to make incremental changes in their operational
  • Gives authorized mechanics access to vehicle data to support servicing
    and components requirements.
  • The E-bike Management system was developed in an effort to reduce the
    number of cars on the road.
  • Using big data analytics to understand consumers' purchasing behaviour
    as they no longer go for the cheapest tickets.
  • Adapting ways to alleviate traffic condition by resolving congestion
    together with the private sector companies.
  • Adopting a variety of ways to collect data on real time traffic
    patterns, developing capabilities rapidly through acquisitions to
    deliver more data.
  • The use of big data analytics to determine the lowest costs of truck
    configuration for fleet operators.

Key Topics Covered:

  1. Executive Summary
  2. Scope Of The Study And Key Questions
  3. Ryanair Uses Big Data To Drive Grow
  4. Inrix Selling Big Data To Fleet Operators And Transport Agencies
  5. Taxi Stockholm Creates New Service Application For Tourists
  6. BMW's Drivenow Car Sharing Business Model
  7. Land Transport Authority Of Singapore
  8. Audi Collects Data From Its Customers
  9. The E-Bike Management System In Italy
  10. UPS Collects Data To Monitor Everything
  11. Volvo Prognostic Solution For Fleet Managers
  12. Navistar On-Command Component Retailing
  13. Growth Opportunities And Companies To Action
  14. Conclusion

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