With continuous development and flexibility in use, artificial intelligence is a powerful tool for improving logistics workflows.
Whether it is a supply chain of goods or various analytics, artificial intelligence will ensure superior efficiency of any process.
In this article, we will look at several examples of how you can use artificial intelligence in logistics and also take a closer look at well-known companies that have introduced artificial intelligence into their workflows.
Without further ado, let’s begin.
October 11, 2019: With the combination blockchain and Artificial Intelligence (AI), IBM has introduced a new software to build a global supply chain with reduced cost and lesser complexities.
The open-to-developers, self-correcting and intelligent ‘IBM Sterling Supply Chain Suite’ is designed to learn from experience, creating greater reliability, transparency and security.
Businesses, manufacturers and retailers can have a competitive edge by integrating the data and networks of their suppliers and customers to a more secure and open platform with the support of a hybrid-cloud, says the press release.
The flexible IBM Sterling Supply Chain Suite provides open development capabilities that lets companies quickly tailor solutions to meet their unique business needs.
The tech giant is aiming at a $50 billion market for technologies that can digitally transform the logistics of global businesses.
Bob Lord, senior vice president of cognitive applications and developer ecosystems, IBM, said, "By modernising supply chains on top of open, hybrid-cloud platforms and infusing Watson AI, IBM Blockchain and IoT into their networks, the IBM Sterling Supply Chain Suite can help companies across all industries enter a new era of global competitiveness.
Artificial intelligence in supply chain market is a rise in demand for greater visibility and transparency in the supply chain and logistics data maintained by the companies and hence this factor will be the driving factor for the growth of the market.
Artificial Intelligence stores high amount of data and information and hence to avoid traditional data monitoring artificial intelligence in supply chain will be the opportunity factor for the market.The lack of workforce and the increasing cost for the same is one of the most important factor for driving the market towards adoption of artificial intelligence in the supply chain market.
The artificial intelligence requires coding which will be restraining factor for the market growth as the skilled workforce which are specialised in coding are required.Artificial intelligence in supply chain market is expected to reach USD 46.22 million by 2027 at a CAGR of 8.1% in the forecast period of 2020 to 2027.
Data Bridge Market Research report on artificial intelligence in supply chain market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the market’s growth.This Artificial Intelligence in Supply Chain Market research report intensely analyses the potential of the market with respect to current scenario and the future prospects by considering several industry aspects of Cardinal Health industry.
The report also recognizes and analyses the rising trends along with major drivers, challenges and opportunities in the market.
This Artificial Intelligence in Supply Chain Market report provides major statistics on the market status of global and regional manufacturers and is a helpful source of assistance and direction for companies and individuals interested in Healthcare industry.
