Real results from real projects.
New case studies get added here as projects wrap — same card format every time.
Finding the 20% of products driving 80% of profit
The problem: The founder couldn't tell which of 40+ SKUs were actually profitable after discounts, ads, and returns.
What we did: Rebuilt true per-SKU margin using order, ad-spend, and returns data; flagged the products quietly losing money.
- Identified true margin by SKU, not just revenue
- Cut 9 low-performing SKUs, raised overall margin 12%
- Built a monthly profit dashboard the founder checks every Monday
Automating a reporting process that ate a full day a week
The problem: Weekly reporting meant manually pulling numbers from three platforms — a full day of work every week.
What we did: Connected Shopify, ad platform, and shipping data into one automated pipeline feeding a live dashboard.
- Connected 3 platforms into one automated pipeline
- Cut reporting time from 6 hours to 20 minutes
- Caught a shipping-cost error worth ₹40,000/month
Finding which channel actually brings repeat customers
The problem: No visibility into which marketing channels were bringing in repeat customers vs. one-time buyers.
What we did: Built a customer segmentation model and a marketing-channel performance breakdown.
- Identified the channel driving 60% of repeat purchases
- Repeat purchase rate up 18% after targeting changes
- Cut spend on the lowest-performing channel
New projects slot into this same template — business type, problem, approach, results, and a client quote.
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