Artificial Intelligence (AI) in the Global Freight Transportation Industry, Forecast to 2025

Artificial Intelligence (AI) in the Global Freight Transportation Industry, Forecast to 2025

AI Plays an Important Role in Creating an Intelligent Operational Network, Enabling Transformational Growth Strategies in the Global Freight Transportation Industry

RELEASE DATE
22-Jan-2020
REGION
Global
Research Code: PA18-01-00-00-00
SKU: TP00195-GL-MR_24015

$3,000.00

Special Price $2,250.00 save 25 %

In stock
SKU
TP00195-GL-MR_24015

$3,000.00

$2,250.00 save 25 %

DownloadLink

Pay by invoice

ENQUIRE NOW

Description

This study analyses the key trends and applications of artificial intelligence in the freight transportation industry by mode of transport i.e. road, rail, air, and ocean freight transportation. This research also analyses the disruptive impact of artificial intelligence on freight transportation business operations and discusses its adoption prospects till 2025. With increased trade flow, the fleet population in freight transportation has become denser, and expectations of customers have evolved beyond recognition, resulting in complex transport operations, requiring operational flexibility from freight operators. Human errors in operations, underutilized assets, low workforce productivity, inefficient operational planning, inability to match supply with demand, and trimmed profit margins are key prevailing concerns with freight operators. The emergence of digital technologies and the rapid technological advancements in digitization have transformed the business and operational landscape of the global freight transportation industry. It is essential for freight operators to embrace such operational complexity and evolve by adopting technologies to turn complexity into an advantage. Today, the world is connected more than ever, and the growth of data generation has been exponential with smart devices and process automation. Data-driven insights help freight operators move forward and gain competitive advantage over their peers. Artificial intelligence enables freight operators to harness data more effectively for actionable insights. Artificial intelligence powered systems in conjunction with other digital technologies such as internet of things and big data analytics utilize data to its full potential to anticipate events for freight operators, aiding them to avoid risks and create innovative solutions. Machine learning algorithms based on neural networks powered by artificial intelligence would unlock multiple benefits for companies operating in the freight transportation industry. AI brings changes to the supply chain with autonomous vehicles, helping fleet operators reduce operating cost with and fuel consumption and plan optimized routes for service. The freight operators that are enhancing their capabilities with artificial intelligence are reaping its benefits by increasing efficiency with predictive intelligence. Artificial intelligence also enriches the relationship between the shipper and carrier with personalized service offerings. Advanced sensor fusion with artificial intelligence supports the integration of smart infrastructure and operating assets and the freight operators in the development of connected freight ecosystem, aiding autonomous fleet management. The transformation of the logistics industry due to artificial intelligence is imperative in the near future; however, the readiness and openness of freight operators for an AI-based data-driven environment will determine how well this industry copes with challenges.

Author: Suriya Anjumohan

RESEARCH: INFOGRAPHIC

This infographic presents a brief overview of the research, and highlights the key topics discussed in it.
Click image to view it in full size

Table of Contents

Key Insights—AI in Freight Transportation

AI Industry Growth Drivers

AI in Digitized Logistics Value Chain

AI for Predictive Capabilities

AI Adoption Trend in Freight Transportation

AI Adoption Roadmap for Freight Operators

Research Scope

Research Aim and Objectives

Key Questions this Study will Answer

Related Studies

Research Methodology

AI Application Categories and Value Chain

Types of AI Systems

AI—Learning Cycle

Trends Driving AI Implementation

AI—Driving Predictive Intelligence Capability

Digital Freight Brokerage Business Model

AI for Freight Matchmaking

Freight Forwarding—Simplified Shipping Process with AI

FERO—AI-powered Voice Assistant for Shippers

Cargofy—AI-powered Virtual Assistant

AI—The Brain Behind Intelligent Transportation

Maintenance 4.0—AI Under the Hood of Predictive Analytics

Vehicle Automation in Road Transportation—Transfer of Responsibilities

Autonomous Vehicle—Asset with Sensory Functions Powered by AI

AI in Road Freight Transportation

Strategic Partnership Soars with Truck Modernizing Efforts

Grades of Automation in Rail Freight Transportation

AI Monitoring the Total Rail Network Environment

AI in Rail Freight Transportation

KONUX Predictive Maintenance System—Rail Transportation

AI is Inevitable in Air Freight Transportation

AI-powered Robotic System for Air Cargo Pallet

Maritime Industry Concerns and Drivers for Digitalization

Autonomous Ocean Freight Ecosystem

AI in Ocean Freight Transportation

Liners Keen on Improvising Systems to Nurture Innovation

Stature of AI in the Logistics Industry

AI Business Impact Mapping

AI Adoption Trend in Freight Transportation

AI Adoption Roadmap for Freight Operators

Growth Opportunity—Freight Transportation

Strategic Imperatives for Success and Growth

The Last Word

Legal Disclaimer

Table of Acronyms Used

List of Exhibits

List of Exhibits (continued)

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
This study analyses the key trends and applications of artificial intelligence in the freight transportation industry by mode of transport i.e. road, rail, air, and ocean freight transportation. This research also analyses the disruptive impact of artificial intelligence on freight transportation business operations and discusses its adoption prospects till 2025. With increased trade flow, the fleet population in freight transportation has become denser, and expectations of customers have evolved beyond recognition, resulting in complex transport operations, requiring operational flexibility from freight operators. Human errors in operations, underutilized assets, low workforce productivity, inefficient operational planning, inability to match supply with demand, and trimmed profit margins are key prevailing concerns with freight operators. The emergence of digital technologies and the rapid technological advancements in digitization have transformed the business and operational landscape of the global freight transportation industry. It is essential for freight operators to embrace such operational complexity and evolve by adopting technologies to turn complexity into an advantage. Today, the world is connected more than ever, and the growth of data generation has been exponential with smart devices and process automation. Data-driven insights help freight operators move forward and gain competitive advantage over their peers. Artificial intelligence enables freight operators to harness data more effectively for actionable insights. Artificial intelligence powered systems in conjunction with other digital technologies such as internet of things and big data analytics utilize data to its full potential to anticipate events for freight operators, aiding them to avoid risks and create innovative solutions. Machine learning algorithms based on neural networks powered by artificial intelligence would unlock multiple benefits for companies operating in the freight transportation industry. AI brings changes to the supply chain with autonomous vehicles, helping fleet operators reduce operating cost with and fuel consumption and plan optimized routes for service. The freight operators that are enhancing their capabilities with artificial intelligence are reaping its benefits by increasing efficiency with predictive intelligence. Artificial intelligence also enriches the relationship between the shipper and carrier with personalized service offerings. Advanced sensor fusion with artificial intelligence supports the integration of smart infrastructure and operating assets and the freight operators in the development of connected freight ecosystem, aiding autonomous fleet management. The transformation of the logistics industry due to artificial intelligence is imperative in the near future; however, the readiness and openness of freight operators for an AI-based data-driven environment will determine how well this industry copes with challenges. Author: Suriya Anjumohan
More Information
No Index No
Podcast No
Author Nurrafidah Rashid
Industries Transportation and Logistics
WIP Number PA18-01-00-00-00
Is Prebook No
GPS Codes 9800-A6,9B01-A6,9694,9AF6-A6,9B07-C1