Artificial intelligence is here to disrupt industries. We are ready. Are you?

Artificial Intelligence technologies and capabilities are driving digital transformation, growth, and opportunity in nearly every sector.

Transport & Logistics

Data analytics, automation, artificial intelligence, and machine learning are impacting the global transportation system. Mobility is being transformed. As the transportation enterprise becomes more data-driven and automated, there is the potential to realize greater safety and efficiency benefits for the public good.

However, transportation is the most known industry where AI technology is discussed. While self driving cars and trucks may be the most anticipated developments, AI can go as far as collecting data from a variety of sources to optimize and adjust the shipping routes and simplify distribution networks.

4 WAYS TO CHANGE TRANSPORTATION & LOGISTICS INDUSTRY BY DEVELOPING ARTIFICIAL INTELLIGENCE

Back Office AI

In an increasingly complex and competitive business world, companies that operate global supply chains are under unprecedented pressure to deliver higher service levels at flat or even lower costs.  In Tranportation and Logistics industry AI presents a significant opportunity to save time, reduce costs and increase productivity and accuracy with cognitive automation.  Cognitive Automation refers to intelligent business process automation using a combination of AI and robotic process automation.

Predictive Logistics

AI can help the logistics industry fundamentally shift its operating model from reactive actions and forecasting to proactive operations with predictive intelligence. This section will identify both global, network-level prediction opportunities as well as process-specific prediction opportunities.

Customer Experience

The dynamic between logistics providers and customers is changing.  For most consumers, touch points with a logistics company begin at checkout with an online retailer and end with a successful delivery or sometimes a product return. For businesses, touch points with logistics providers are characterized by long-term service contracts, service level agreements, and the operation of complex global supply chains. AI can help personalize all of these customer touch points for logistics providers, increasing customer loyalty and retention.

Supply Chain

It’s no secret that the world’s supply chain regularly deals with problems related to efficiency, reliability, and security.  With the volumes of data in supply chains and logistics growing every day, the need for more sophisticated processing solutions is becoming more urgent. That’s why many companies are adopting such AI computing techniques as machine learning, deep learning, and natural language processing. These techniques make it easy to analyze huge volumes of data in an efficient fashion to provide a sophisticated analysis, trigger a function or an event based on the results of the analysis, deliver requested information, and perform many other complex functions.

Transportation problems arise when system behavior is too difficult to model according to a predictable pattern, affected by things like traffic, human errors, or accidents.  In such cases, the unpredictability can be aided by AI. AI uses observed data to make or even predict decisions appropriately. As the transport industry becomes more data driven, the talent profile will also shift as new skills will be needed in the workforce to keep up with ongoing changes. Companies will need new strategies to navigate this dynamic environment.

READY TO DEVELOP SUCH A STRATEGY?