Found 482 repositories(showing 30)
nexscope-ai
E-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and business analytics for online sellers across Amazon, Shopify, Etsy, TikTok Shop, and all platforms.
fatmakiraz
Vanilla JavaScript Ecommerce is a project I developed with Vanilla JavaScript to improve my JavaScript skills.
lujiaheng-artpivot
OpenClaw creative studio skills for ecommerce ads, TVC craft, Seedance video generation, and AI manga drama workflows.
finsilabs
No description available
masonjames
Give Claude Code expert knowledge of 2,500+ shadcn/ui blocks and components. This skill lets Claude intelligently select, install, and compose pre-built UI sections — from landing pages to dashboards to ecommerce flows — so you describe what you want and it picks the right pieces.
Eng-Hasan-Hajjar
this my Ecommerce to improve my skills in php-Laravel and apply all concepts in php-Laravel
Attribuly-US
AI marketing analytics & autonomous optimization OpenClaw skills for Shopify, WooCommerce, and DTC e-commerce brands. Track true ROAS & Profit.
timctfl
Certified, open-source AI skills for ecommerce teams. Built on the SKILL.md open standard.
poojanajani-strique
Meta Ads Skills for Ecommerce - AI agent skill modules for managing Facebook/Instagram advertising
roger52027
Free AI agent skill for searching and analyzing 14M+ ecommerce stores — GMV, tech stack, contacts, and competitor data, powered by EcCompass.AI.
ShahadShaikh
Problem Statement Introduction So far, in this course, you have learned about the Hadoop Framework, RDBMS design, and Hive Querying. You have understood how to work with an EMR cluster and write optimised queries on Hive. This assignment aims at testing your skills in Hive, and Hadoop concepts learned throughout this course. Similar to Big Data Analysts, you will be required to extract the data, load them into Hive tables, and gather insights from the dataset. Problem Statement With online sales gaining popularity, tech companies are exploring ways to improve their sales by analysing customer behaviour and gaining insights about product trends. Furthermore, the websites make it easier for customers to find the products they require without much scavenging. Needless to say, the role of big data analysts is among the most sought-after job profiles of this decade. Therefore, as part of this assignment, we will be challenging you, as a big data analyst, to extract data and gather insights from a real-life data set of an e-commerce company. In the next video, you will learn the various stages in collecting and processing the e-commerce website data. Play Video2079378 One of the most popular use cases of Big Data is in eCommerce companies such as Amazon or Flipkart. So before we get into the details of the dataset, let us understand how eCommerce companies make use of these concepts to give customers product recommendations. This is done by tracking your clicks on their website and searching for patterns within them. This kind of data is called a clickstream data. Let us understand how it works in detail. The clickstream data contains all the logs as to how you navigated through the website. It also contains other details such as time spent on every page, etc. From this, they make use of data ingesting frameworks such as Apache Kafka or AWS Kinesis in order to store it in frameworks such as Hadoop. From there, machine learning engineers or business analysts use this data to derive valuable insights. In the next video, Kautuk will give you a brief idea on the data that is used in this case study and the kind of analysis you can perform with the same. Play Video2079378 For this assignment, you will be working with a public clickstream dataset of a cosmetics store. Using this dataset, your job is to extract valuable insights which generally data engineers come up within an e-retail company. So now, let us understand the dataset in detail in the next video. Play Video2079378 You will find the data in the link given below. https://e-commerce-events-ml.s3.amazonaws.com/2019-Oct.csv https://e-commerce-events-ml.s3.amazonaws.com/2019-Nov.csv You can find the description of the attributes in the dataset given below. In the next video, you will learn about the various implementation stages involved in this case study. Attribute Description Download Play Video2079378 The implementation phase can be divided into the following parts: Copying the data set into the HDFS: Launch an EMR cluster that utilizes the Hive services, and Move the data from the S3 bucket into the HDFS Creating the database and launching Hive queries on your EMR cluster: Create the structure of your database, Use optimized techniques to run your queries as efficiently as possible Show the improvement of the performance after using optimization on any single query. Run Hive queries to answer the questions given below. Cleaning up Drop your database, and Terminate your cluster You are required to provide answers to the questions given below. Find the total revenue generated due to purchases made in October. Write a query to yield the total sum of purchases per month in a single output. Write a query to find the change in revenue generated due to purchases from October to November. Find distinct categories of products. Categories with null category code can be ignored. Find the total number of products available under each category. Which brand had the maximum sales in October and November combined? Which brands increased their sales from October to November? Your company wants to reward the top 10 users of its website with a Golden Customer plan. Write a query to generate a list of top 10 users who spend the most. Note: To write your queries, please make necessary optimizations, such as selecting the appropriate table format and using partitioned/bucketed tables. You will be awarded marks for enhancing the performance of your queries. Each question should have one query only. Use a 2-node EMR cluster with both the master and core nodes as M4.large. Make sure you terminate the cluster when you are done working with it. Since EMR can only be terminated and cannot be stopped, always have a copy of your queries in a text editor so that you can copy-paste them every time you launch a new cluster. Do not leave PuTTY idle for so long. Do some activity like pressing the space bar at regular intervals. If the terminal becomes inactive, you don't have to start a new cluster. You can reconnect to the master node by opening the puTTY terminal again, giving the host address and loading .ppk key file. For your information, if you are using emr-6.x release, certain queries might take a longer time, we would suggest you use emr-5.29.0 release for this case study. There are different options for storing the data in an EMR cluster. You can briefly explore them in this link. In your previous module on hive querying, you copied the data to the local file system, i.e., to the master node's file system and performed the queries. Since the size of the dataset is large here in this case study, it is a good practice to load the data into the HDFS and not into the local file system. You can revisit the segment on 'Working with HDFS' from the earlier module on 'Introduction to Big data and Cloud'. You may have to use CSVSerde with the default properties value for loading the dataset into a Hive table. You can refer to this link for more details on using CSVSerde. Also, you may want to skip the column names from getting inserted into the Hive table. You can refer to this link on how to skip the headers.
BENZEMA216
AI 电商 Agent Skills - OpenClaw 技能包:生图、电商设计、竞品分析、审美记忆系统
thangphistudent
Claude Code skill that generates optimized Nano Banana 2 (Gemini 3.1) image prompts for ecommerce, marketing, and print-on-demand design
AltinDurakuu
A React and PHP-based ecommerce project. Developed to enhance skills in React and PHP, the platform allows users to browse products, apply filters, add items to the cart, make payments via PayPal(sandbox mode) and other functionalities. I used some interesting concepts like React routing, React dynamic routing, JWT token etc.
samiulislamsharan
MultiCart is a dynamic eCommerce platform designed to bring sellers and buyers together in a seamless and engaging online marketplace. This project is made to showcase my laravel development skills with Swagger API documentation.
yahiamahgoub
I built this eCommerce portfolio app to showcase my C# skills and learn MAUI
jeffreydebolt
Ecommerce CFO skill for AI agents. Diagnostic frameworks for Amazon, Shopify, and hybrid sellers.
abyssallobsterv587-arch
OpenClaw skill for compliant multi-platform China growth ops across Douyin, Xiaohongshu, Kuaishou, chat, and ecommerce workflows.
sergiecode
Vimos juntos lo que es las skills personalizadas para COPILOT utilizando de ejemplo un Ecommerce SQL y JS
katsumidev
Ecommerce like website, it's just a test project to train some of my skills in react and others technologies.
dfelipesr46
This project it's an Ecommerce shopping, it's a personal project for practice my skills in HTML and CSS
AryanHulawale
This is a simple shoes ecommerce website built with React to demonstrate my frontend skills, including components, routing, state management, and clean UI.
chaudhari014
The DiamondLand Jewelry Ecommerce Site, meticulously crafted to exhibit my skills in web development. This project serves as a testament to my ability to create elegant, user-friendly ecommerce platforms, integrating features that enhance user experience, security, and product presentation
CoderAnurag007
This is an Ecommerce Website developed for fashion using Reactjs , it is Responsive , Fast and good looking website , Aim of developing this is to learn concepts of react while working in real life projects and hone my skills
Rohitlakha
Power BI dashboard project analyzing eCommerce sales by region, category & customer. Features KPIs, DAX, and interactive visuals. Designed for data-driven insights and business decisions. Ideal for showcasing BI skills. Connect with me: linkedin.com/in/rohit-lakha ✅
Shahzad-Ali-44
QuickCart is a modern eCommerce web app built with React, Vite, Tailwind, and Redux. It features a responsive UI, dynamic shopping cart with localStorage, product listing from API, checkout flow, and contact form via Web3Forms. Fast, clean, and ideal for showcasing frontend skills.
pepelawycliffe
AmazCart is a complete E-Commerce system to easily start your online E-Commerce business. This Software has been developed for people who want to create an online store that can sell everything! Single eCommerce store. AmazCart’s online store will make you successful in the eCommerce industry as well as will save thousands of marketing costs even you don’t need any coding skills.
ansarimasoom7059
A fully functional eCommerce platform built with Spring Boot and React. Features include chatbot support, product and cart management, secure payments (Razorpay/Stripe), order tracking, and dashboards for customers, sellers, and admins. Designed to showcase full-stack skills and deliver a production-ready solution.
kunalrisaanva
E-Com Project, A Ecommerce project for Leaning purpose and enhacing skills This project will be complex project for fronted we are using next js and for backend we are using fastify instead of express js also we will using caching in this project
abduIbasit
An In-depth analysis of laptops available on Nigeria leading ecommerce company, Jumia. The analysis employs web scraping skill using python beautifulsoup library, pandas library, numpy, matplotlib and visualisation with Microsoft PowerBI