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.
In today's digital age, online customer reviews and comments have become a key factor influencing purchasing decisions.
Read More »When it comes to gaining new clients, everything is joy and satisfaction for being able to provide them with our service or sell them our product in the best way possible, and we [...]
Read More »Today we are going to talk about how to foresee payment problems and foresee the problems in those customers who are currently not giving it to you. In G [...]
Read More »Chargeback refers to refunds that occur when, at the request of a cardholder, the bank requests a refund on his or her behalf [...].
Read More »