How Deep Learning Can Predict If Your Customer Will Buy Again

Online stores are a gold mine of data for applying AI and deep learning in the retail and e-commerce business. Each data point builds a detailed understanding of customer habits. To harness this data, the most successful e-commerce companies leverage not only data science basics, but also deep learning techniques. Deep learning and AI can provide business-critical predictions like whether or not a customer will buy again. 

Any business can capitalize on deep learning techniques as long as two criteria are met: 

1. Access to a large volume of data
2. Investment in the infrastructure and the people who can make sense of that data

Luckily, ad providers like Facebook and Google allow small businesses to collect data with almost zero effort simply by pasting a script on their website. Additionally, Google Ads and Facebook Ads provide access to deep learning-based purchase intent models to all business customers on their platforms. So, although your team may not build the deep learning model, it can leverage the technology developed by these tech giants. This democratization of AI has reinvented marketing by creating new subfields like customer analytics. It’s also positioned machine and deep learning as a key player in e-commerce for the upcoming years. In the Learning Platform course Customer Analytics in Python we explain how to leverage deep learning to glean personalized customer insights.

Recommended Learning Platform course

Customer Analytics in Python

365 Careers, Iliya Valchanov