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Apply AI backed supply chain management solution to your business
Apply AI backed supply chain management solution to your business

August 25, 2023

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Supply chain management is vital for successfully running your business. A supply chain is a complex network between a company and its various providers and suppliers. It is, based on all aspects and steps necessary to produce a product and effectively deliver it to the customers. A single mistake in the chain and an organization can find itself in a serious problem: being unable to finish manufacturing, distribution, or delivery requirements. 

This is why supply chain optimization is crucial to many business operations. But handling and operating the supply chain is highly complicated and tiring work. It includes coordinating countless parties and considering various factors ranging from the availability of raw materials to labor-related issues, costs fluctuations, and many more. 

Artificial intelligence (AI) has revolutionized in recent years, transforming into a powerful tool for various business applications. Foreword-thinking business leaders always look for a technological upgradation that can help their business thrive in this competitive market. In this article, we will closely explore how AI in supply chain can be utilized to take on and improve the efficiency of your business. A recent survey of supply chain organizations emphasized this type of machine automation in their processes to double up between now and 2028. 

Recent Technologies and How They Help Improve Supply Chain Planning 

Most of the time, people use AI as an all-around term for any technology that contains smart machines. While most of them fall under the artificial intelligence umbrella, it is essential to understand some key differences between their descriptions and features. Here are three simple informative differences between AI and relevant technologies, plus how they can effectively help the supply chain. 

  1. Artificial Intelligence – the ability and capacity of a machine to execute human-like functions like perceiving, learning, reasoning, interacting with different processes, problem-solving, and practicing creativity to form plans, make decisions, and achieve goals. They can help supply chain businesses in the form of: 

  • Boost the overall value of current processes and operations with machine-assisted inventory planning. This can allow you to bridge the knowledge gap between experienced and inexperienced company resources and achieve real-time visibility based on historical and current data analysis. 

  • Enhance your supply chain transparency and risk insight by using AI to follow and accurately predict supply chain discrepancies based on inputs and correlations over multiple data sources, including weather forecasts, news, and social media. 
     

  1. Machine Learning – Machine learning is a data learning process where a machine uses algorithms to identify patterns, understand how to make predictions, and make recommendations by locating hidden insights in your business data without being manually programmed where to look. Machine learning capabilities put algorithms into vast operational data feeds to reveal insights to track and predict supply chain issues, delivering new levels of transparency into day-to-day operations. 

  • Reveal new sources of cost savings by implementing a self-healing supply chain management that can rigorously monitor and correct delayed lead times for relevant products based on historical data sets. 

  • Enhance customer experience with more accurate inventory optimization for upcoming products by utilizing algorithms based upon early-sales signals to manage demand and replenishment plans. 
     

  1. Deep Learning – Deep learning utilizes technologies like neural networks to learn massive amounts of unstructured data in a supervised or unsupervised way to draw conclusions, understand if those conclusions are accurate, and then apply those conclusions to new data sets. AI can help in supply chain digitization by: 

  • Saving time and money with an automated planning agent that handles low-impact exceptions as they occur and delivers comprehensive reports on its observations. Then sends alerts to the relevant people when bigger issues arise. 

 


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