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 competitors.
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’ behaviour
- 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 processes.
- 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.
Scope of the Study and Key Questions
Ryanair Uses Big Data to Drive Grow
- Ryanair : Moving Away from a Low Cost Carrier Using Big Data
- Big Data Analytics are Used to Understand What Customers Want
INRIX Selling Big Data to Fleet Operators and Transport Agencies
- Collecting Real Time Traffic From a Variety of Sources
- INRIX Developed Its Capabilities Rapidly Through Acquisitions to Deliver More Big Data
Taxi Stockholm Creates New Service Application for Tourists
- Taxi Stockholm Aids the Tourism Sector and Generates Revenue by Providing Tourists with Hotspots Heat Map
- Big Data Has to be Coupled with an Innovative Idea to Unlock Value that Drive Monetary Returns
BMW’s DriveNow Car Sharing Business Model
- With DriveNow, BMW Diversifies from Selling Cars to Renting Cars Based on Members’ Usage
- DriveNow Monetize on Consumers’ Need for Functionality Rather than Ownership of a Car
Land Transport Authority of Singapore
- LTA—Adopting a 3-Layer Stack
- LTA—Open Data Provided to Bring About Innovation
Audi Collects Data from its Customers
- Audi is Enhancing Customer Experience While Collecting Information on Traffic Flow and Driving Behaviour
- The Information Collected from Audi Cars are Used to Provide Personalized Service to Customers
The E-Bike Management System in Italy
- The E-Bike Management System by SITAEL was Developed in an Effort to Reduce the Number of Cars on the Road
- The E-Bike Offers Enormous Potential for the System to Incorporate Other Smart Transport Capabilities
UPS Collects Data to Monitor Everything
- A Study by UPS Found that 1 Min of Idle Time per Driver per Day Amounts to a Cost of US$14.5 Million a Year
- UPS Uses Small Data to Make Incremental Changes in Their Operational Processes
Volvo Prognostic Solution for Fleet Managers
- $1,000 is Lost in Revenue Each Day When Trucks are Sent for Servicing. Big Data Analytics is the Only Way to Reduce it
- Volvo Gives Authorized Repair Mechanics Access to Vehicle Data to Support Servicing and Components Requirements
Navistar On-Command Component Retailing
- With 2,000 Ways to Configure a Truck, Big Data Analytics is the Only Way to Determine the Lowest Cost for Fleet Managers
- Navistar’s Prognostic Solution Has been Used for Pricing of Vehicle Components for Over 200,000 Trucks in the United States
Growth Opportunities and Companies to Action
- Growth Opportunity 1—Data Captured by Vehicles Bring Insights to Improve Business Outcome for Fleet Operators
- Strategic Imperatives for Success and Growth
- Legal Disclaimer