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How Big Data Can Optimize Global Shipping

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The shipping industry is the lifeblood of the world economy, moving 90% of merchandise valued at over 19 trillion in 2014, according to the World Trade Organization. However, the forecasts relied on by many shipping companies leave something to be desired. Now, with big data analytics settling into the wheelhouse, the industry is set to make a sizable leap in efficiency. It's easy to forget how quickly the field of big data analytics has arisen, and what steps a given organization must take to be in a position to take advantage of it. For industries like financial services that digitized their process long ago, the move up to using predictive analytics was not a traumatic one.


TRANSMAR AND TRANSMETRICS SIGN DEAL FOR STATE-OF-THE-ART LOGISTICS COLLABORATION

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Transmetrics' demand forecasting and predictive optimization platform is powered by artificial intelligence and machine learning algorithms. With four decades of experience and a strong operational presence in Egypt, KSA, UAE and Sudan, Transmar has built a solid reputation in the market, founded on family values that drive the company's ambition to offer the best in class service to its customers. Transmar owns and operates a large fleet of both dry and refrigerated containers, serves thousands of customers, and moves hundreds of commodities throughout the Middle East. "We strongly believe in the power of Data. Transmetrics' AI solution helps us leverage our 4 decades of operational experience, to make decisions both faster and smarter. As a regionally focused carrier we are more exposed to volatility. We're excited about the capabilities Transmetrics will provide by helping see up to 12 weeks into the future, ensuring we have optimum planning and repositioning plans" said Ahmed el Ahwal, Commercial Manager at Transmar.


Top 3 improvements that made by AI in Logistics

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There's no other way to describe it: Artificial Intelligence (AI) is revolutionizing the world of logistics. That may seem like a cliché, or hype, or buzz, but it is true. The tech is fundamentally changing the way packages move around the world, from predictive analytics to autonomous vehicles and robotics. The capabilities of AI are seriously ramping up company efficiencies in the areas of predictive demand and network planning. Having a tool for accurate demand forecasting and capacity planning allows companies to be more proactive.


15 AI Applications/ Use Cases / Examples in Logistics in 2021

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Artificial intelligence is transforming all industries and logistics is one of them. Logistics is the management of the flow of products between different locations. A global network of suppliers and customers complicate logistics operations and logistics companies contain both easy to automate tasks and complex processes that can benefit from AI/machine learning algorithms. The technology offers a wide range of capabilities to logistics companies from autonomous machines to predictive analytics. According to Mckinsey research, the logistics industry has adopted AI mostly for 4 business functions which are service operations, product and service development, marketing and sales, and supply chain management.


Top 3 improvements that made by AI in Logistics

#artificialintelligence

There's no other way to describe it: Artificial Intelligence (AI) is revolutionizing the world of logistics. That may seem like a cliché, or hype, or buzz, but it is true. The tech is fundamentally changing the way packages move around the world, from predictive analytics to autonomous vehicles and robotics. The capabilities of AI are seriously ramping up company efficiencies in the areas of predictive demand and network planning. Having a tool for accurate demand forecasting and capacity planning allows companies to be more proactive.