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Analyst Insight: As supply chains become increasingly complex, the pace of change within the logistics industry is expected to accelerate at breakneck speed.
To stay ahead of the curve, companies need to modernize their logistics operations by embracing the following supply chain technology trends and innovations:
Artificial intelligence and automation. The use of AI and automation helps businesses streamline and optimize their supply chain process by automating mundane and repetitive tasks. This vital technology can also be used to identify and address potential supply chain issues such as delays, bottlenecks and disruptions from unforeseen circumstances. In addition to AI and automation, the use of robotic process automation (RPA) has become instrumental in the management of supply chains globally. RPA enables the automation of vital tasks such as data entry, document processing and order tracking — which can reduce manual labor and increase efficiency in the supply chain process.
Supply chain agility. Critical for survival in today’s fast-paced business environment, supply chain agility refers to a company's ability to quickly adapt to disruptions in the supply chain. This means having the ability to shift production, adjust inventory levels and find alternative sources of supply at short notice. Advanced technologies such as AI and automation are crucial to achieving supply chain agility, as they can help companies improve supply chain visibility, optimize inventory levels and streamline logistics operations.
Supply chain as a service (SCaaS). The concept of SCaaS is to outsource supply chain operations to an external provider that will manage the entire process from sourcing to delivery. Beyond enabling organizations to focus on their core competencies and reduce their overhead costs, SCaaS helps businesses take advantage of the latest technologies and innovations without the need to invest in the necessary infrastructure.
Enhanced customer experience. Logistics is an important driver of customer satisfaction. For this reason, it’s crucial for logistics and transport management to improve their processes across the supply chain to ensure fast and reliable delivery at affordable rates. Doing so requires improvement in last-mile delivery services to the customer’s doorstep. Another key driver that can elevate the customer experience is inventory optimization. This customer-centric approach to inventory management prioritizes business needs to ensure optimal levels of stock are maintained.
Data analytics and predictive learning. Utilizing big data analytics allows companies to gather and analyze vast amounts of data from various sources. Predictive analytics enables proactive decision-making, demand forecasting, inventory optimization and the ability to identify potential risks in the supply chain.
Outlook: Although recent years have been a bit rocky to say the least, the future of logistics and supply chain is bright. By staying current with the industry’s ever-evolving trends and technologies, businesses can remain competitive and improve their efficiency and effectiveness — while delivering an exceptional customer experience.
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