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 (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 »In the digital age in which we live, artificial intelligence (AI) has emerged as a disruptive force in numerous industries, and the banking sector has been [...]
Read More »Artificial intelligence is increasingly present in companies and its growth is being applied in practically all sectors. When the end [...]
Read More »The current scenario we are experiencing in Spain with the COVID-19 health crisis has led to many companies having to carry out ER [...]
Read More »
