Succeeding in Implementing an AI-driven Supply Chain for Decision Makers
In order to maintain a competitive edge, businesses must focus on automating their supply chain and logistics processes. Although AI implementation is relatively new to supply chain management, early adopters see successes in efficiency and performance. According to McKinsey & Co., enterprises who utilized AI-enabled supply chain management achieved reduction in logistical costs by 15% and inventory levels by 35%.
AI can help businesses to optimise their supply chain by reducing costs, increasing efficiencies and improving decision-making. However, AI is not only about improving efficiency – it is also about improving customer satisfaction. By using AI to predict customer demand and proactively manage inventory, organisations can ensure that they always have the right products in the right place at the right time.
As AI technology continues to improve, more companies are interested in benefiting from its capabilities. Businesses need to be willing to invest in the technology. This investment will pay off in the form of improved efficiency, cost savings, and enhanced customer satisfaction – a win in both tangible and intangible areas of the business. Infoholic Research predicts that AI in the logistics and supply chain markets will grow at a compound annual growth rate of 42.9% until 2023.
What Will You Learn
In this webinar, we’ll look at how AI can be leveraged in the supply chain and logistic domain to help businesses build an competitive edge.
Dipayan Sarkar, CEO and Data Scientist, Algoritmo Lab
Webinar; link will be provided via email a before the event date.
Dipayan SarkarData Scientist, CEO ALgoritmoLab