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Your business is generating data every day.
But can you quickly answer:
📦 Which products are at risk of stockouts?
🚚 Where are delivery and fulfillment problems happening?
💰 Which products or processes are affecting revenue?
📊 Which numbers actually need your attention?
That’s where I come in.
I help e-commerce and operations businesses clean, analyze, and visualize their data using Excel, Power Query, SQL, and Power BI.
The goal isn't just another dashboard.
It’s clearer answers, better visibility, and insights you can act on.
If your business has data but you're struggling to turn it into decisions, let's talk.
#Ecommerce #Operations #DataAnalytics #PowerBI #SQL #Excel #BusinessIntelligence
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
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Clean and data-driven UI with key metrics (Sales, Revenue, Profit, Retention), performance charts, product insights, and clear analytics for smarter business decisions.
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Inventory Health & Stock Risk Analysis:
A Power BI dashboard built to give ecommerce and logistics businesses real-time visibility into stock health surfacing risk before it becomes a costly problem. Business Problem:
Most small inventory operations run blind. They reorder too late, hold dead stock for months without realizing it, and have no systematic way to flag which products are quietly draining margin. This dashboard was built to solve exactly that turning raw inventory data into a clear action priority list. Key Findings:
•37 out of 275 products (9.25%) are at active stockout risk meaning current stock sits at or below reorder point.
•28 products classified as slow movers, indicating potential overstock or weak demand signals.
•Storage is the highest-risk category for stockouts, requiring priority attention in replenishment planning.
•Southlake Texas warehouse outperforms all other locations in profit contribution. •Overall average profit margin sits at 9.48% with category-level breakdowns revealing where margin is being lost.
Superstore Sales Performance Dashboard: Retail sales analysis for a US-based ecommerce business covering 4 years of transactional data across 3 product categories, 4 regions, and 17 product sub-categories. Business Problem:
Which products, regions, and customer segments are driving revenue and where are the gaps?
Key Findings:
•Technology is the top revenue category, generating the highest sales across all regions.
•The Consumer segment accounts for 51% of total revenue, outperforming Corporate and Home Office.
•Standard Class shipping dominates fulfillment, representing the majority of all orders
Dashboard Details.
•Covering overall sales performance and detailed product breakdown.
•Interactive filters by region and product category.
•Visuals include revenue trends, sales by sub-category, segment distribution, and shipping analysis.
