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Prescriptive analytics offers specific actionable steps to solve the issues brought up by predictive analytics. Prescriptive analytics applies machine learning algorithms to suggest ways to take advantage of future opportunities or mitigate future risks; it optimises the process for a better future outcome.

AI is one of the most powerful technologies developed to date. Not only does it transform how businesses operate, but also enhances the services and products offered to customers to increase their relevancy and resulting customer retention.

Our study of 187 participants found that information about the sustainability of a product, in the form of a sustainability score, can have a significant impact on consumers’ buying behaviour. This research project sought to examine the potential effectiveness of providing consumers with a product-level sustainability score during their buying journey.

The driving force of any business is the people behind it. But people, as we know, are prone to making mistakes. Even small inaccuracies like making a wrong order can be detrimental to a business, and small mistakes often result in huge consequences and economic loss.

Recommender systems continue to evolve as new methods and algorithms are discovered, and more data is available, both in terms of volume and variety. In this paper we present an overview of the history of recommender systems, starting from precursors of recommendation engines, all the way to modern deep learning systems.

Research shows that 60% of manufacturing companies are using AI technologies. Manufacturers often face various operational challenges such as unexpected machinery failure or defective product delivery.