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Use Cases Autonomous Transportation in Logistics

Autonomous Transportation in Logistics

Autonomous transportation describes systems that provide unmanned, autonomous transfer of equipment, baggage, people, information or resources from point-to-point with minimal intervention.

There is a strong case for suggesting that the logistics industry will adopt self-driving vehicles much faster than most other industries. The reason for this is that different rules apply when a vehicle is moving around in a secure, private zone. Also, liability issues are less pressing when that vehicle is transporting goods instead of people.

 

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 Transcode Creates a Vehicle Fleet Management solution with Intel IoT Gateway
Transcode Creates a Vehicle Fleet Management solution with Intel IoT Gateway
Problem: Inefficient vehicle fleet management hinders business efficiency, employee productivity, and revenue growth opportunitiesCompanies involved in managing huge fleets of vehicles continue to struggle in terms of efficiently managing fleet operations. On one hand, it has become increasingly difficult to manage and monitor an entire fleet of say, 500 vehicles, particularly in tracking their daily activities. Imagine how challenging it can be to track all of these vehicles on a daily basis – where they are located at a particular time, how fast they are moving, if they are following the workflow, etc. Business owners definitely want to be on top of monitoring their assets and ensuring that their entire fleet continues to perform based on their expectations to be able to generate better revenue.On the other, it has become a challenge as well for business owners to monitor their drivers’ behavior and daily productivity. Most, if not some, of these employees would just follow what they want – changing routes on a whim, driving too fast that puts their passengers or deliveries at risk, or stopping too long at a location that limits their productivity. Business owners need to ensure that their drivers are following business rules and policies because at the endof the day, they are themselves employees who should be governed by rules and regulations that are implemented by the company. Without a means to track their daily behavior, business owners would not be able to address productivity issues that affect in maximizing their daily revenue.Based on these challenges, Transcode developed an end-to-end solution that not only helps solve vehicle fleet management problems but can also ultimately serve as a blueprint for smart city transportation. The solution harnesses an IoT gateway based on Intel architecture to provide efficient data mining, intelligent navigation, and end-to-end communication between the entire fleet and the company’s back-office system or fleet management center. Through this gateway, business owners can efficiently monitor and manage their vehicle fleet on a daily basis.
IBM | Using The Cloud and Machine Learning To Enhance Customer Experience
IBM | Using The Cloud and Machine Learning To Enhance Customer Experience
Customer experience is a key competitive differentiator for airlines, and increasingly depends on digital channels. How could American Airlines meet its customers’ appetite for instant information and services?
Telit | Jooycar Offering A New Solution For The Usage-Based Insurance Market
Telit | Jooycar Offering A New Solution For The Usage-Based Insurance Market
Jooycar sought to provide an end-to-end, cloud-based insurance telematics platform focused on creating value insurers and enhancing policyholders’ experience. Its usage-based insurance (UBI) solution demanded various data inputs and outputs, including automotive data collection, user data collection and output to many possible data bases and applications. To create such a flexible smart car platform, Jooycar enlisted the help of Telit’s IoT technology and expertise.

In 2016, Mckinsey said the self-driving vehicle market could be worth USD 1.5 trillion in 2030.

Source: Mckinsey

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