LOGISTICS
T
he logistics and supply chain industry is riding a wave of technological advancement, process automation and environmental preservation. All of which are key drivers in 2024. To thrive
companies must swiftly adapt to cutting- edge technologies, pioneering processes and strategic approaches, while being ever mindful of the need to lessen their impact on the environment.
Disruptive forces within logistics have been in play since the pandemic, introducing huge supply chain issues and serious product shortages. This forced organisations to rethink their approach, how they use technology, do business and plan for the future.
MOVING INTO AN ERA OF SELF-MANAGEMENT
In an era of continuous innovation, companies and their supply chains must be nimble enough to remain competitive. To achieve supply chain agility, many logistics companies are harnessing the power of self-managed onboarding, as well as change and exception management.
Self-managed services give direct, hands-on control to businesses, rather than relying on outside entities to complete tasks. If the team is self-managing its integration solution, they can start the onboarding process immediately. With self-service change and exception management, supply chain and logistics companies can address issues such as data and inaccurate inventory levels, minimising their business impact.
That said, the logistics industry is grappling
SUPPLY CHAIN AND LOGISTICS SET TO THRIVE WITH COMPUTER VISION
By Margarita Lindahl, head of AI at Panasonic Connect Europe
impacts costs, production and delivery of goods. This is just one example of how logistics (AI) to work smarter. Warehousing processes are being automated, with machines now responsible for picking products and initiating packing. Transportation is also embracing automation, with Europe leading the way in experimenting with automated trucking.
REAL-TIME VISIBILITY IS ESSENTIAL TO SURVIVE
Real-time visibility into supply chains is essential for logistics companies to stay organised and manage their business. This is intelligence (AI), is helping to improve logistics and supply chain operations in multiple ways. Within AI, Computer Vision technology allows systems to derive meaningful information from
40 DECEMBER/JANUARY 2024/25 | FACTORY&HANDLINGSOLUTIONS
digital images. As the “eyes of AI,” Computer and interprets images into usable knowledge that can be further analysed by humans or complementary AI systems.
Applications and use cases for Computer Vision across this industry are many and varied. Take the disruptive and transformational impact that Amazon has had on the global ecommerce industry, coined the “Amazon Effect,” for example. Computer Vision can be used to track objects, such as parcels, containers and vehicles, help customers track their orders and when they are likely to receive them, enhancing the customer experience. Likewise, Computer Vision can track inventory Computer Vision can also inspect and assess the quality of goods and monitor the condition of warehouse equipment in real-time. It can be used for damage detection and identify
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