These days, you cannot throw a stone without hitting something with machine learning (ML) / artificial intelligence (AI) mentioned about it. If one looks at the posts on LinkedIn, or the talking heads on TV, the number of times these terms are mentioned is very high and increasing.

In the world of business and sales forecasting, this is even more true. It is not always clear what people have in mind when they say they will be using ML/AI to improve forecasting.

At Arkieva, we utilize these techniques in a practical way to create more accurate forecast for our customers which then results in more value for them. In this on-demand webinar, we will talk about how ML/AI is used by Arkieva to achieve higher forecast accuracy for our customers.

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About the presenter: Sujit Singh


As COO of Arkieva, Sujit manages the day-to-day operations at Arkieva such as software implementations and customer relationships. He is a recognized subject matter expert in forecasting, S&OP, and inventory optimization. Sujit received a Bachelor of Technology degree in Civil Engineering from the Indian Institute of Technology, Kanpur, and an M.S. in Transportation Engineering from the University of Massachusetts. Throughout the day don’t be surprised if you find him practicing his cricket technique before a meeting.