Market basket analysis is a data mining technique used to analyse patterns in products that are sold together in a shop or on an e-commerce site. The objective is to identify relationships between products that are frequently purchased together and to use this information to improve business decision-making.
Shopping basket analysis is used in a variety of business applications, such as optimising the layout of products in a shop or website, customer segmentation and product recommendation. The technique can also be used to detect fraud in e-commerce transactions.
Shopping cart analysis is used in a variety of business applications, such as optimizing the layout of products in a store or website, customer segmentation and product recommendation. The technique can also be used to detect fraud in e-commerce transactions.
Artificial Intelligence is transforming the way in which companies relate to their customers, how work is managed, the way they work, the way in which [...]
Read More »Artificial Intelligence (AI) derives from a series of models or branches that can be used in different areas of people's lives, as well as in different areas of [...]
Read More »GAMCO is a pioneer in the creation of Artificial Intelligence and Machine Learning software solutions. GAMCO's solutions are designed to [....]
Read More »In this article we are going to focus on how artificial intelligence (AI) can increase efficiency and reduce costs for your company by [...]
Read More »