Here’s an automation I built for an e-commerce business. The idea is simple: instead of manually ...Here’s an automation I built for an e-commerce business. The idea is simple: instead of manually ...
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
Here’s an automation I built for an e-commerce business.
The idea is simple: instead of manually checking sales, products, and inventory every day, the workflow pulls everything together and turns it into a business report automatically.
It starts with a scheduled trigger, so the report can run automatically each day.
Then it pulls the business data from Google Sheets and calculates key sales metrics like revenue, orders, units sold, and average order value.
From there, it checks product performance and inventory, so we can see which products are performing and which ones may need attention.
The workflow then brings all of that data together and generates the business report.
I also added an AI step to turn the numbers into useful business insights, rather than just sending a spreadsheet full of figures.
And finally, the completed report is sent straight to the business owner’s inbox.
So the goal here isn’t just to automate reporting.
It’s to give an e-commerce team a clear daily snapshot of what’s happening in the business, without someone having to manually put the report together every morning.
I built an automated lead management workflow using n8n that captures incoming leads, stores them in Google Sheets, and instantly notifies the sales team on Telegram.
Capture → Enrich → Score → Save → Notify
Built to reduce manual work, improve response time, and prevent missed leads.
Nice work sir,
Sir we can Build this normally with App script. I just Built yesterday.
Where Google sheet will received the leads from any channel + store and distribute as per described assignment rules and notify with lead details to respected person.
What if your PC could actually listen, understand, and do the work for you?
I’m building that idea into something real.
Meet AURA — my personal AI voice assistant for Windows.
Instead of building another chatbot that only answers questions, I’m experimenting with an AI agent that can actually interact with my computer and help with everyday work.
So far, AURA can:
• Have live voice conversations
• Convert speech to text and respond with voice
• Open applications like Excel, Power BI, Chrome, and Windows Settings
• Search the web and YouTube through voice
• Perform basic PC and file operations
• Understand requests through Gemini
• Execute actions through a safety-controlled automation layer
• Continue listening after completing a task
But this is only the beginning.
My long-term goal is to make AURA understand my actual workspace — including what’s happening on my screen and inside applications — so I can simply say:
“Open my Excel file, check the sales data, clean the date column, and add a formula for total revenue.”
And let AURA handle the workflow.
I also want it to become useful for my own Data Analytics work — from Excel and Power BI workflows to repetitive desktop tasks, research, and automation.
I’m building AURA with Python, AI, voice technologies, desktop automation, Excel, Power BI, and LLMs, while keeping safety and human control at the core.
It’s still far from the final vision.
But that’s exactly what makes the project interesting.
I’m not just learning how AI agents work.
I’m trying to build one that I can actually use every day.
The screen-reading step is where I would put the guardrail. Once AURA can read what is in the window, everything on that screen is input - and a page it opened from a voice search can hold a sentence written to be read as an instruction. I spent a while trying to rob my own...
Clean and data-driven UI with key metrics (Sales, Revenue, Profit, Retention), performance charts, product insights, and clear analytics for smarter business decisions.