💰 Billing & Payments knowledge for cloud platforms

Vue.js storefront for Magento2 (and not only) - data backend

Web-based software to manage a non-profit food coop (product catalog, ordering, accounting, job scheduling).

AtroPIM is a modern, flexible, configurable, open-source product information management system (PIM) of a new generation.

3GPP Online Charging System (OCS)

Super Lightweight eCommerce Platform -- Built with AngularJS, PHP and Google Sheets API v3. The eCommerce platform's data is stored in Google Sheets. The product catalog, category management, and multi-lingual support are maintained using Google Sheets. Real-time data updates to the storefront.

Powerful database framework that fits your needs

Simple Shopping Cart based on MongoDB ExpressJS AngularJS and NodeJS

Mail merge data to a Word document in C#, VB.NET without Microsoft Word or interop.

7cart is a php7 project for building online shops, catalogs or service platforms. 7cart built with simple code and database schema. It is easy to support and fast.

A Product Catalog Demonstration Project Using Spring MVC and Mongo DB

FInal project for the course "Fullstack web devoloper" in the Moscow School of Programmers. The link of landing page (not full project) 👇

eCommerce application with Microservices architecture

Welcome to Shop-Shop, a cutting-edge e-commerce platform offering a wide range of household goods across various categories. This application has been meticulously refactored to implement Redux for state management, stepping away from the React Context API, to provide a more efficient and scalable solution for handling global state.

Logeachi E-Commerce: Seamless shopping, secure transactions, and order tracking. Elevate your experience today!

This project is the result of the tutorial, which are essentials of Angular by walking through building an e-commerce site with a catalog, shopping cart, and check-out form.

Simple online product catalog created with PHP.

redis with product category data from icecat

This is an nlp, web-scrapping based ML capstone project, that allows users to retrieve datasets of the products listed on flipkart and amazon for the given product. Further, Sentiment Analysis can also be performed on the comments/reviews.