AI is shaking up logistics and supply chain management like never before. A Marketsand Markets report predicts that the AI in supply chain market will soar from $730 million in 2020 to a whopping $10.1 billion by 2025, with a CAGR of 45.3%. This explosive growth shows just how powerful AI can be in making operations more efficient, cutting costs, and improving decision-making.
In today’s highly competitive e-commerce landscape, efficient inventory management is essential for success. For businesses distributing products from multiple warehouses, inventory management goes beyond cash flow
In the ever-evolving world of technology, one question persists: How are businesses staying ahead of the curve? McKinsey’s recent findings offer an intriguing insight: a significant one-third of organizations are now tapping into the potential of Generative AI (Gen AI) in their daily operations. This makes us ponder: What exactly is Gen AI,
Businesses are adopting cloud computing technologies at an increasing rate, with a particular focus on moving from traditional on-premises applications to cloud-hosted solutions. According to the statistics, half of an organization’s workload is now maintained on public clouds
Customer service influences every industry, and it similarly impacts the logistics sector. Given that modern supply chains are vast and complex, comprising an intricate network of stakeholders from manufacturers to distributors, poor customer service can exacerbate this complexity, leading to inefficiencies and significant disruptions. Moreover, it can severely affect client loyalty, impeding the growth of logistics organizations and resulting in loss of business, ultimately tarnishing the company’s reputation. In this blog, we will discuss the significance of customer service in logistics and the role of AI as a copilot for a superior logistics customer experience.
Freight management is a specialty area within supply chain management that concentrates on logistics and transportation. To ensure the efficacy of supply chain operations overall, it entails critical tasks such as route optimization, carrier selection, shipment tracking, and freight cost control. The transformation of freight management operations depends on the field’s continuing technological advancements, including those in machine learning, big data, artificial intelligence (AI), RPA, IoT, and blockchain.
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