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Asset Tracking and AI in Supply Chain Management Market 2021 โ€“ 2026

#artificialintelligence

This research evaluates asset tracking technologies, solutions, and the overall asset management and logistics ecosystem including major players, strategies and market positioning. The research evaluates the impacts of use case-specific considerations in terms of asset tracking technology and solution selection. This research also provides an analysis of both fleet-related asset tracking and non-fleet asset tracking markets. Fleet tracking market analysis includes segmentation by IoT-enabled fleet tracking. In terms of non-fleet asset tracking, the research evaluates the market for both living and nonliving things, which have completely different characteristics.


AI in the supply chain: Logistics gets smart

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For California-based Infinera, 2017 was not an easy year. The manufacturer of telecom equipment saw revenue drop from $870 million in 2016 to $740 million in 2017. Gross margin went down from 45 percent to 33 percent. In the end, the company, which employs about 2,000 people across the U.S., Canada, China, India, and Sweden, reported a net loss of $195 million for the year, compared to a net loss of $24 million in 2016. To turn things around, one of the things the company is focused on is technological improvements, CEO Thomas Fallon told investors earlier this year.


Chatbots Gain Favor In Supply Chain Management PYMNTS.com

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In supply chain management, globalization, geopolitical forces and increased demand for greater transparency have organizations looking at cutting-edge technology to boost performance and cut risk. Analysts have been discussing some of these technologies for some time. Blockchain, for example, is now a common topic in conversations surrounding supply chain innovation. But here's a technology you may not have expected to also be an up-and-coming focus for the supply chain: chatbots. In corporate finance, chatbots are gaining steam in areas like banking and accounting.


Bigdata Analytics and Supply chain management

@machinelearnbot

I am a newbie to Bigdata and would like to highlight some significant advantages if incorporated in a company's supply-chain management strategies, expecting the reader's views and suggestions. Because, in recent past I have developed a online supply-chain management systems in which sellers and customers are matched using an algorithm. It acted as a decision support system and I needed to dig deeper on the available data to get more insights over the data pattern (even for evaluating its correctness). We know that data is generated throughout the supply chain โ€“ So, for sure the manufacturers of consumer goods or services analyze key performance indicators to ensure the resources are delivering at its capacity. So, there is a need for efficient data storage/management and information retrieval techniques.