Leveraging data through AI also results in enhanced visibility and traceability. Machine learning also enables more descriptive and predictive analyses, helping teams shift from asking, “What happened?” or “Why did it happen?” to “What is happening?” or “What will happen?” These insights can lead to wiser, real-time decision-making and fuel effective planning. Companies can pivot from looking through a foggy rear-view mirror to viewing situations through a crystal-clear windshield. For example, it can help distributors optimize delivery routes and schedules by providing up-to-date information on traffic, weather, and other factors affecting delivery times. ![]() The real-time benefits that AI brings can yield more efficiency, too. Using AI tech to process this data in real-time from the global supply chain can enable more streamlined logistics. Logistics requires pulling disparate signals’ data from various sources-including data centers in other countries. More training, tuning, and validation will lead to greater accuracy. More data means better model training so that a system can learn underlying patterns. However, AI and ML technologies function at their best with more data they have insatiable appetites for it. With legacy technologies, large amounts of data can hinder speed and performance. Could artificial intelligence (AI) and machine learning (ML) be the silver bullet for fixing the manufacturing supply chain?ĪI and ML bring countless benefits to solving supply chain issues in manufacturing and, once honed, could be the solution we’ve been desperately anticipating-not just because automation helps a business grow and remain competitive but because it can also lead to lower total costs. While the problem is evident and tangible and is hurting businesses and consumers, there has yet to be a viable, holistic solution. Quantities are limited, high prices are unsustainable, and delays are anywhere from frustrating to catastrophic. As part of Solutions Review’s Contributed Content Series- a collection of contributed articles written by our enterprise tech thought leader community-Lenley Hensarling, the Chief Product Officer at Aerospike, explains how AI and ML technologies can enhance the supply chain throughout manufacturing processes.įor the past three years, we’ve seen that many industries are tugging on a strained supply chain, especially in the manufacturing sector.
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