Transport & Logistics International Volume 13 - Issue 1 | Page 15

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Logistics when there are supply chain disruptions or demand changes .
■ AI and machine learning : These tools are generally used in conjunction with data from GPS tracking to make risk assessments and offer response plans . AI-powered algorithms , for example , can help businesses with carrier optimization by showing the most strategic options for carrier selection based on capacity , coverage , and pricing , etc .
■ IoT sensors : These can be used on inventory as well as machinery to send out automated alerts on breakdowns and environmental changes that might affect the quality of goods and improve everything from routing to inventory management .
Addressing and overcoming distribution network challenges
The value of agile logistics strategies lies in their ability to address common distribution network challenges , such as :
■ Supply chain disruptions : Decentralized distribution , more dynamic transportation networks , and routing optimization technology all ensure that distribution networks can respond to disruptions quicker than ever with alternative options .
■ Poor inventory management : Having too much , too little , or just not knowing where inventory is frequently appears as a common distribution problem . Technology like IoT completely changes that by making inventory more visible so that businesses can make more informed decisions if customer demand suddenly goes in a new direction .
■ Fluctuating customer demand : Data that tracks customer demand and market shifts not only helps businesses predict the direction of the wind but empowers them to learn from past experiences so that the distribution network is well-prepped to respond to changes .
■ Tight budgets : What often constrains distribution networks in times of crisis is money . Things get too expensive , and everything grinds to a halt . Implementing agile logistics strategies that optimize routes to save fuel and automate basic tasks that save on labor all help reduce this pressure .
With every one of these challenges , smart data and technology usage are the key factors that make agile logistics strategies so successful in improving distribution networks .
The future of agile logistics and distribution networks
Agile logistics strategies are essential for staying competitive in today ’ s fast-paced market . By leveraging data-driven decisions , decentralizing distribution , optimizing transport networks , automating processes , and improving inventory visibility , companies can strengthen the flexibility and resilience of their distribution networks .
Agility allows businesses to quickly respond to disruptions , meet evolving customer demands , and optimize overall performance . With technologies like GPS tracking , AI , machine learning , and IoT sensors , companies can create smarter , more efficient supply chains that stay ahead of challenges and drive success . ■
For a list of the sources used in this article , please contact the editor .
Nick Fryer www . sheerlogistics . com
Nick Fryer is Vice President of Marketing at Sheer Logistics . He has over a decade of experience in the logistics industry , spanning marketing , public relations , sales enablement , M & A and more at 3PLs and 4PLs including AFN Logistics , GlobalTranz , and Sheer Logistics .
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