TECH & AI
However , we ’ re now seeing customers extending predictive methods on the manufacturing end as well and using the technology to predict demand and supply disruptions ,” Puneet explains . “ Predictive Analytics allows companies to look at the impact of external causal factors . For example , if we took a semiconductor company that serves the automotive market it must predict demand for semiconductor chips many months in advance given long manufacturing lead times for semiconductor devices .”
With Predictive Analytics , these companies can watch what ’ s happening externally in China – the largest passenger car market in the world – and predict how it might affect the demand for its semiconductor devices in the future .
“ Statistics are slow to catch up to what is happening in the real world but with Predictive AI , companies can observe what ’ s happening daily and course-correct much faster ,” Puneet continues . “ Therefore , global fluctuations are caught more rapidly using AI methods than the traditional methods .”
Puneet believes that planning in manufacturing will continue to become more autonomous .
“ We ’ re seeing more examples of light-out factories being run by robots and advanced equipment , for example , current automotive assembly lines are becoming increasingly automated . As manufacturing becomes more autonomous and advanced , so too will supply chain planning and execution processes , which means that the reliance on technology is simply going to keep increasing in a positive way ,” he adds . “ Companies will become more customer-focused and they ’ ll also be able to redirect talent into doing something that adds value to manufacturing and the overall business performance .”
Blue Yonder has a technology partnership with Microsoft , with its solutions being built on the Microsoft Azure platform .
“ We use the Azure platform as a service and combined with our technology , allows us to go to market faster ,” he says . “ We also partner with Snowflake , the data cloud company . Blue Yonder ’ s Luminate Platform and the Snowflake Data Cloud empower joint customers with an end-to-end supply chain solution for faster , more accurate and informed decision making .”
As a company , Blue Yonder continues to grow . In FY23 , company revenue was US $ 1.28bn , including 17 % SaaS revenue growth year-over-year . They also gained a total of 167 new customers .
Over the next three years , Blue Yonder will invest over US $ 1bn into product innovation , to make its solutions smarter , more powerful , more connected and more capable of delivering real-world value . Puneet and his team are also investing in developing and growing their team of smart , talented associates who are passionate and eager to generate customer value that , in turn , produces larger societal benefits .
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