E Commerce Solution

E-commerce And Its Facts E-commerce introduction:- E-commerce, or electronic commerce, refers to the buying and selling of goods and services over the internet. It has become increasingly popular in recent years, with more and more businesses and consumers turning to online shopping. E-commerce provides a convenient and flexible shopping experience…

This article looks at how large language models are changing the e-commerce game and what the future of e-commerce might hold as a result. E-commerce, a sector that connects buyers and sellers through online platforms and tools, has experienced rapid growth in recent years. Advances in artificial intelligence have introduced…

Implementation of an E-Commerce System on AWS in an automated way using Terraform and Ansible Project description: In another project based in a real-world scenario, I worked as Cloud Engineer using DevOps, where I created and implemented an e-Commerce MVP (Minimum Viable Product) on AWS in less than 2 hours…

The sun was setting, painting the sky with hues of orange and pink as I sat on my favorite couch, sipping a warm cup of chamomile tea. This had become my daily ritual after a long day at work. With each sip, I allowed the soothing taste to wash away…

User experience (UX) is one of the industry’s hottest themes right now. Some of you may have heard this phrase regularly. You might not be familiar with the subtleties of User Experience and how it might affect and influence your business if you are not in the design profession. A…

The trend towards headless e-commerce started about a decade ago, aiming to provide tools and an engine for e-commerce without the storefront, leaving the responsibility to the designers and developers to tailor their own frontend (the head). As this technical choice has an impact on architecture and costs, it is…

A quick overview of how Machine Learning models are applied to various stages in modern realtime Recommendation Systems in succession — We often hear about various machine learning algorithms widely used in the Recommendation Systems domain, namely relatively simple algorithms such as Collaborative Filtering (CF) , Matrix Factorizations (MF) and to ever-so increasingly complex deep learning (DL) / neural network (NN) approaches incorporating (not-so) recent developments for instance, one can find…

Mark was a struggling online marketer who had tried every method in the book to attract traffic to his e-commerce store, but to no avail. He spent hours creating social media posts, writing blog articles, and paying for ads, but the returns were meager. …