Machine Learning for Retail

Finally, you will get hands-on coding and see how you can use the apriori algorithm and market basket analysis to analyze customer transaction data

First, you'll look at what a Gartner report has to say about the future of AI in the retail industry and you will explore some examples and cases of where ML is already being used in retail - for predicting customer behavior, for visual and voice search,

Learning techniques currently applied in the retail industry

Next, you'll explore two ML case studies from research papers - the first one discusses how an online e-commerce platform used a price optimization model to set prices across products on its platform to maximize the platform’s revenue and gross margin

The second case study explores the dynamic vehicle routing problem in the supply chain industry and sees how machine learning techniques can help find good solutions to this problem

Then, you'll also get an intuitive understanding of how visual search works, using convolutional neural networks and similarity algorithms

When you are finished with this course you will have the awareness of how machine learning can be applied in the retail industry and hands-on experience working with retail data