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By Fernando Monteiro, SVP EMEA The two most common technology acronyms you may find yourself reading and talking about are Artificial Intelligence (AI) and Machine Learning (ML). However, despite hearing them so often, many are stumped to explain the definition, what they actually do, and how they differentiate from each other.
What does AI look like in retail and wholesale? Here are three examples of how AI is represented in the retail and wholesale climate. Merchandising Ability to better understand the depth and breadth of your assortment. For example, what item to carry, and how many different options (flavors, colors, styles).
Deep learning in retail is one of the latest buzzwords. Many retailers are adopting deep learning instead of traditional methods. While this approach has its advantages, it also comes with risks. Before making the switch, it’s crucial to understand where traditional approaches still excel. Want to learn when traditional methods
Deep learning is a major buzzword the retail industry has become infatuated with. Many assume that deep neural networks are the end all be all and should replace traditional algorithms altogether. However, there is no one perfect model to predict every component. Before jumping ship from traditional algorithms, it’s vital
Mark Bloemeke Co-founder and Chief Technology Officer With each passing year, technology is becoming more advanced, effective, and most importantly, more personalized. With the help of artificial intelligence (AI), daily tasks and processes that are unique to us are automated by a learning system to further bring efficiency and value
Data science has proven to be a valuable asset for retailers strategies, operations, financial performance, and competitive advantage. However, operating as a data-driven organization is challenging. Our VP of Science Delivery, Linda Whitaker provides her insight on the struggles retailers experience when becoming a data-driven organization. Have you read our
Meet the team Cognira series We’ve all heard the saying coined by Francis Bacon, ‘knowledge is power.’ But is that saying actually true? As Eric Thomas brilliantly puts it, “Knowledge isn’t power, applied knowledge is power.” When we have the opportunity to not only grasp a concept but also apply
By Stephen Gardeen Principal Data Scientist at Cognira If we were to ask a retailer how much revenue they lose in lost sales per year, many would scratch their heads, or turn to unreliable data to crunch the numbers. The reason? They don’t have the proper tools to calculate it.
https://www.youtube.com/watch?v=jdaIK73ytzU It’s no secret that technology is becoming more advanced, effective, and personalized. But how does AI positively impact retailers? Here are 4 reasons why retailers should invest in AI! (and while you’re at it, check out our blog on the power of AI in retail)
Linda Whitaker VP of Science Delivery It’s no secret that advanced science technologies are becoming critical for business success (yep, even for retail). With the power of data science, retailers have the opportunity to enhance marketing strategies, operations, financial performance, and of course, stay ahead of the competition. However, despite
