Artificial Intelligence (AI) Driving the Future of Logistics & Transportation Industry
Dublin, Aug. 27, 2020: 43% of all the global Transportation & Logistics projects will be impacted by Artificial Intelligence (AI)
technologies. Increasing requirements of analytical data in the decision-making process is boosting the penetration of AI in the Transportation
& Logistics sector. As per FABRIC- our
market intelligence platform , by 2023 every 5 companies in 10 from this sector will embrace AI technologies
Huge investments and aggressive projects are in the pipeline for the next 5 years in Transportation & Logistics industry. For instance, in
India, projects like #Sagarmala and #Bharatmala open opportunities to AI companies to harness the Value Addition. Countries like China and the United States are investing heavily into AI to strengthen their Transportation & Logistics sector. These investments are expected to open new business opportunities to various stakeholders from interconnected and allied industries. AI technologies will play an extremely crucial role in such developments. From design to maintenance and from warehousing raw materials to remotely analyzing operational datasets, AI offers analytical visibility to important stakeholders.
Thanks to the likes of
DHLs and
Ryders, the entire logistics industry is already seeing AI integration. After warehouse management and visual
inspection, collaborative platforms are driving the wagon of AI’s integration in the logistics industry. The startup ecosystem in the logistics
industry is flourishing too; most of these startups are using one or another AI technology in their operations. For example, Gurugram based
startup
GoBolt is offering “Design to Deliver” service, covering warehousing, supply chain planning, and transportation technology solutions
across industry types.
In 2016, when I was analyzing the then nascent AI market, I had predicted the high impact of AI based route optimization in Logistics space by 2020. Today in 2020, further bolstered by COVID 19 pandemic AI based route optimization is the key driver for the logistics industry. I challenge anybody to disagree with me, when I say that the existing Transportation & Logistics business models will be obsolete in the next 5 years owing to AI and allied market (IoT, AR-VR, Quantum Computing integration) integration.
Providing actionable insights about AI to its clients,
Avira’s market intelligence platform FABRIC has synchronized 1500 high-importance market
activities utilizing Machine Learning and Data Science Algorithms. With more than US$5.0 billion expected to be the impact of AI on the Transportation & Logistics industry by the end of 2023, understanding the Trends and the Ecosystem causing that impact is an important step towards building a futuristic and successful business strategy.
Data points based on ~28 allied and interconnected markets, trends that are updated real-time (100 and counting), scenarios to adopt AI into Transportation & Logistic business lines, competitive landscape mapping across the ecosystem, extensive and cross-segmented demand forecast are some of the many tools on FABRIC platform accessible for the decision-makers.
The journey of AI unifying with Transportation & Logistics space has started and we are here to streamline your strategies to succeed.
About AviraInsights Technologies:
AviraInsights is a market intelligence company. We have synergised our strengths of Information Technology, Consulting and Market Research to build our proprietary platform that helps our clients in effective decision making. Driven by a vision to be a one-stop business partner to all the growth and expansion plans of its clients, AviraInsights has built an alliance base to make the Intelligence-data not just academic, but actionable. Understanding business in its entirety on the back of the decades of experience of the Management team, the company strives to empower its clients by providing an Access to research, Analysis of key dynamics, Evaluation of market data, Application of it to business objectives.
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