The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
🚀 Walmart Store Performance Update
📦 Today’s Orders: 17
🚚 Unshipped Orders: 60
⭐ Account Rating: 4.00
💰 Current Balance: $16,960.00
📈 Consistent performance • Professional account management • E-commerce growth
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
🚀 Turning Manual E-commerce Order Processing into an Automated Workflow with n8n
Manual order management may seem simple, but copying customer details, checking information, preventing duplicate orders, and sending confirmation emails can quickly become repetitive and error-prone.
I recently built an end-to-end order processing automation using n8n to solve these challenges for a handmade products store.
Here's what I implemented:
🔹 Automated Order Capture: Receive new orders through a webhook.
🔹 Data Validation & Cleaning: Validate required fields, email formats, quantities, and prices before processing.
🔹 Duplicate Prevention: Detect existing Order IDs to prevent duplicate records.
🔹 Google Sheets Integration: Automatically store valid orders and calculate order totals.
🔹 Email Notifications: Send order updates to the store owner and confirmation emails to customers.
🔹 Error Monitoring: Capture failed executions, log error details in a dedicated Google Sheets tab, and send email alerts.
The goal was simple: reduce repetitive administrative work, improve data accuracy, and make order operations more reliable.
This is what I enjoy about building with n8n — turning complex, repetitive business processes into practical automation systems.
Have a repetitive workflow in your business that could be automated? Let's connect!
#n8n #WorkflowAutomation #EcommerceAutomation #BusinessAutomation #NoCode #Automation
Using AI Automation workflow in business , not only save the time ,also increase work Efficiency
VELORA Fashion Studio | Shopify eCommerce Design
VELORA Fashion Studio | Shopify eCommerce Website Design & Development
VELORA Fashion Studio is a self-initiated Shopify eCommerce portfolio project created to showcase my expertise in premium online store design, Shopify theme customization, and responsive website development.
Project Overview
The goal was to create a modern, elegant, and user-friendly fashion shopping experience with a clean luxury aesthetic, intuitive navigation, and professional product presentation.
Key Features
Custom Shopify Store Design: Premium fashion-inspired homepage with elegant layouts and branding.
Shopify Theme Customization: Customized Horizon theme to match the VELORA brand identity.
Responsive Web Design: Optimized layouts for desktop and mobile devices.
Product Collections: Dedicated Women's Fashion, Men's Fashion, and Accessories collections.
Product Management: 12 demo products with descriptions, pricing, variants, and inventory setup.
Product Detail Pages: Structured product information and related product recommendations.
eCommerce Features: Product navigation, cart interface, and storefront configuration.
Basic SEO: Optimized page titles, meta descriptions, and product organization.
Project Outcome
Created a functional Shopify demonstration storefront featuring a cohesive fashion brand identity, responsive layouts, organized collections, and product presentation.
The project showcases my capabilities in Shopify website development, eCommerce design, theme customization, and online store setup.
Live Shopify Demo
Demo Access: Password-protected. Access available upon request.
Disclaimer: This is a self-initiated portfolio project, not a commissioned client project. Products are for demonstration purposes only. Some portfolio visuals are conceptual presentations.
Nice Shopify concept!
End-to-end retail analytics pipeline that turns raw, messy CSV exports into business decisions, built in Python and SQL and runnable with one command.
What it does:
Cleans and validates 6 relational tables, fixes 585 data-quality issues and logs every action
Loads a SQLite warehouse with keys, constraints and window-function SQL
Customer analytics: RFM segmentation, cohort retention, CAC / LTV by channel, product Pareto, market-basket analysis
Churn prediction model validated on future data (ROC-AUC 0.71, no data leakage)
6-month revenue forecast, best of 3 models by backtest (4.2% MAPE)
Auto-generated Excel report (live formulas, native charts) and an interactive Streamlit dashboard
18 automated tests
