![]() ![]() Market Basket Analysis is a technique that is used to discover the association between items. eCommerce platforms are continuously making efforts to improve customer experience by using various techniques. You may have observed that while doing so, there is one section that reads ‘frequently bought together’ regardless of the product type. You must have purchased online at least once. This post talks about Market Basket Analysis in R language and highlights the importance of such techniques in retail to boost sales.Īn Introduction To Market Basket Analysis: From Concept To Implementation ![]() One of the key and widely used techniques in retail is Market Basket Analysis. There are many algorithms and techniques used in retail that help uncover better insights and predict future events. ![]() Data can help retailers to understand customer behavior, plan and promote products, increase sales, improve customer experience, and optimize supply chain performance. With a large amount of data and an Omnichannel retail approach, analytics has become more important to drive decisions. The increasing volume of data and the growing importance of retail analytics made it easy for retailers to know their customers better. ![]()
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