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How to Anticipate Supply Chain Issues

Logistics Business Magazine

Wincanton , experts in infrastructure logistics, have provided insight into how to anticipate issues within the supply chain. Predictive analytics Many companies may not realise they have existing data from within their industry of trends, fluctuations, and disruptions that regularly occur.

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How to Overcome Supply Chain Crises

Logistics Business Magazine

This guide aims to provide insightful strategies and practical tips for businesses to weather the storms of supply chain disruption and emerge stronger and more resilient in the face of global trade and uncertainty. Recognizing these issues highlights the importance of resilience and adaptable strategies.

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Data Everywhere: AI in Logistics

Logistics Business Magazine

Most shippers, carriers and logistics service providers understand the importance of data collection and data-driven decision-making. Data collected over time provides intelligence, enabling companies to enhance long-term decision-making. Artificial intelligence is a potent tool that helps companies get the most from their data.

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eBook: Data Driven Logistics

Logistics Business Magazine

Logistics Business magazine, together with the Information Factory, have produced a 7 page digital magazine on data in transport logistics. Editor Peter MacLeod talks to iFactory CEO Robert Jordan to understand how transport businesses can drive up profitability by adopting a data-driven approach. Read the free eBook here.

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Why You Should Consider Air Freight Right Now and How to Optimize Your Cargo

Dedola Global Logistics

The dynamic load factors –defined as how close to capacity an aircraft is when considering freight volume and weight in significant trade lanes –have been comparatively high since September of 2021. According to Clive Data Services, Dynamic Load Factor was lower than anticipated in October, and capacity was almost flat.

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10 Steps to Check If Your Business Is Ready For Big Data

Forto

Few topics hold the prestige of logisticians like Big Data. The applications of Big Data in business are numerous. In freight management, Big Data yields opportunities for improvement. The reason behind the application of data is immense. The ways we collect data has evolved too. Why Is Big Data Important?

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Webinar: Driving Change and Reducing Costs in Delivery

Logistics Business Magazine

The opportunity has never been greater to reform your route optimisation and delivery processes and identify areas to drive measurable improvements – from automating manual processes to increasing data visibility across your operations.