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
Built a Python automation that transforms Excel inventory into eBay-ready bulk listings. Automatically generates titles, descriptions, pricing, and categories from raw data. Removes manual listing work and enables scaling to 50+ products/day with consistent, structured output.
Skills and deliverables
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
Challenges
View all
Related posts
Does someone on your team lose a day or two building the sales report every week or month?
That was the starting point at Mokobara, the premium travel brand. Pulling sales across all their stores, checking returns, reconciling the numbers and emailing each manager took 1 to 2 days every cycle, with 8+ hours of that spent just reconciling.
I built them an automation on Make.com a few months ago. It has run on its own ever since, weekly and monthly:
Make pulls every sales record from BigQuery, 100K to 250K per cycle. That is too many for one request, so it reads them page by page and stitches them back together.
It calculates the numbers the team actually uses: net sales per store after returns and discounts, return rates and the change against the last period.
It builds a CSV with the full breakdown and a short email summary you can read in 60 seconds.
It reads a Google Sheet of store representatives and emails every one of them the report for their own store.
The result: the reporting problem is gone. The report went from 1 to 2 days of manual work to fully automatic, and the 8+ hours of reconciliation dropped to zero.
Two things I would do the same way again:
Calculate "net sales" in the automation, not in the warehouse. The business rule for what counts as a net sale is not what the raw data stores.
Send people their slice, not the whole report. One report for everyone gets skimmed by everyone.
The figures in the image are placeholders, the real ones stay with the client.
What report is your team still building by hand? Tell me where the data lives and I will tell you how I would automate it.
Niva - AI Automation Agency Template (Contact page)
📌 What's Included
13+ fully designed pages, covering the entire buyer journey:
Home — hero, problem/solution framing, services, industries served, integrations, process, stats, case study previews, testimonials, pricing, FAQ, and final CTA
About — origin story, mission, values, team, and company stats
Services — a full breakdown of each service line with outcomes and use cases
Case Studies — a CMS-powered index plus a detailed single-case-study template (problem → approach → solution → results)
Blog — a CMS-powered index and article template, ready for SEO content
Contact — a conversion-focused form paired with direct calendar booking
404, and legal pages — Privacy Policy, Terms of Service, and Cookie Policy included
📌 Ideal For
AI automation agencies and consultancies
Workflow automation specialists and system integrators
Custom AI agent developers
AI strategy and operations consultants
Freelance automation experts positioning as a boutique agency
SaaS companies offering AI-powered services to B2B clients
Framer Website DesignFramer Website DevelopmentLow-Code/No-Code DevelopmentFramerFigmaAdobe Illustrator
Professional work
Hi, I'm Rohan — a data analyst who turns messy data into clean dashboards and clear business insights 📊
Recently completed a 20-day end-to-end analytics pipeline (Excel → SQL → Python → Power BI) for a fictional retail chain — 4 interactive dashboards tracking sales, operations, HR & customer intelligence, with ₹1.79M in revenue analyzed across 200 orders.
I also work on HR analytics, real estate dashboards, and retail sales analysis — check out my full portfolio below 👇
Open to data cleaning, dashboard building, and SQL/analytics projects of any size. Let's turn your data into decisions!
#DataAnalytics #PowerBI #SQL #Excel #Python
