Innovative Use Cases of IoT in the Transport and Logistics Sector

Innovative Use Cases of IoT in the Transport and Logistics Sector

Revenue Generating Business Models

RELEASE DATE
17-Aug-2018
REGION
Asia Pacific
Research Code: 9AC0-00-48-00-00
SKU: IT03721-AP-MR_22187

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Description

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. The report looks at 10 use cases of how enterprises in the transport and logistics sector have done it. They are (1) Audi, (2) DriveNow, (3) INRIX, (4) Land Transport Authority of Singapore, (5) Navistar, (6) Ryanair, (7) Taxi Stockholm, (8) UPS, (9) Volvo and (10) E-bike Management. In summary, these companies have gained from IoT in the following ways. (1) Audi enhances its customers’ experience while using sensors installed in cars to collecting real time information on traffic flow and drivers’ behaviour. (2) With DriveNow, BMW diversifies from selling cars to renting cars on members’ usage. (3) INRIX adopts a variety of ways to collect data on real time traffic patterns in the USA. And it developed capabilities rapidly through acquisitions to deliver more data. (4) The Land Transport Authority of Singapore adopts a three-layer stack to alleviate traffic condition by resolving congestion together with the private sector companies. (5) Navistar’s prognostic solution has been used for pricing of vehicle components for over 200,000 trucks in the USA. It uses big data analytics to determine the lowest cost of truck configuration for fleet operators. (6) Ryanair use big data analytics to understand consumers’ purchasing behaviour as they no longer go for the cheapest tickets. (7) Taxi Stockholm aids the tourism sector and generates revenue by providing tourists with hotspot heat maps with a smartphone app. (8) UPS uses small data to make incremental changes in their operational processes. (9) Volvo gives authorized repaid mechanics to access vehicle data to support servicing and components requirements. (10) The E-bike Management system by SITAEL was developed in an effort to reduce the number of cars on the road.

Table of Contents

Executive Summary

Key Findings

Scope of the Study

Key Questions

Ryanair—Moving Away from a Low Cost Carrier Using Big Data

Big Data Analytics are Used to Understand What Customers Want

Collecting Real Time Traffic From a Variety of Sources

INRIX Developed Its Capabilities Rapidly Through Acquisitions to Deliver More Big Data

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

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

LTA—Adopting a 3-Layer Stack

LTA—Open Data Provided to Bring About Innovation

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 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

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

$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

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 Opportunity 1—Data Captured by Vehicles Bring Insights to Improve Business Outcome for Fleet Operators

Strategic Imperatives for Success and Growth

Conclusion

Legal Disclaimer

The Frost & Sullivan Story

Value Proposition—Future of Your Company & Career

Global Perspective

Industry Convergence

360º Research Perspective

Implementation Excellence

Our Blue Ocean Strategy

Related Research
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. The report looks at 10 use cases of how enterprises in the transport and logistics sector have done it. They are (1) Audi, (2) DriveNow, (3) INRIX, (4) Land Transport Authority of Singapore, (5) Navistar, (6) Ryanair, (7) Taxi Stockholm, (8) UPS, (9) Volvo and (10) E-bike Management. In summary, these companies have gained from IoT in the following ways. (1) Audi enhances its customers’ experience while using sensors installed in cars to collecting real time information on traffic flow and drivers’ behaviour. (2) With DriveNow, BMW diversifies from selling cars to renting cars on members’ usage. (3) INRIX adopts a variety of ways to collect data on real time traffic patterns in the USA. And it developed capabilities rapidly through acquisitions to deliver more data. (4) The Land Transport Authority of Singapore adopts a three-layer stack to alleviate traffic condition by resolving congestion together with the private sector companies. (5) Navistar’s prognostic solution has been used for pricing of vehicle components for over 200,000 trucks in the USA. It uses big data analytics to d
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No Index No
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Author Serene Chan
Industries Information Technology
WIP Number 9AC0-00-48-00-00
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GPS Codes 9658,9702-C1,9705-C1,9A68,9AA5-C1,9B07-C1