A RetailTech Options Case Examine
Information of what prospects do in e-commerce transformations serves as companies’ key issue to gasoline enterprise growth whereas rising income efficiency. The fast-growing worldwide e-commerce platform RetailTech Options which operates throughout 20 totally different international locations wanted to foretell buyer purchases as a result of they required assist for his or her growth methods. The Buyer Buy Prediction mission which implements machine studying and neural networks to forecast buy chance through buyer shopping actions was my resolution to this drawback.
The next article explains the whole mission growth beginning with targets and technical specs. You’ll be able to entry all the documentation and code via GitHub.
This mission was created by Mouad Barras. You’ll find extra of his work on GitHub. Because of him for his contributions! 🚀
In the event you discovered this mission or wish to keep tuned for extra tech adventures, hit that “Observe” button on Medium to hitch the journey! Bought questions, concepts, or simply wish to chat? Shoot me an e mail at mustapha.aitigunaoun@gmail.com , or swing by my social media profiles — hyperlinks are tucked within the background of my Medium profile picture. Let’s construct one thing cool collectively!
