High returns in fashion usually mean something is being misunderstood

Fixing the Wrong Thing is What Hurts

Before you change anything to reduce returns, understand why they’re happening. Most sellers don’t struggle because they lack data. They struggle because return data is noisy, compressed and misleading

A short conversation to understand if diagnosis makes sense before any changes

Let’s try understanding your returns

You don’t need more tools or hype: You need guidance on what actually works.

Root Cause Analysis

Deep Diagnosis of What actually causing you returns and hence margin erosion.

No Risk Solution

If changes are needed, they are small, contained and tested carefully - never rushed.

Actionable Guidance

Step-by-step strategies so you always know what to do next, no guesswork involved.

We break down your problems so you can implement right steps immediately, without being stressed

What most sellers do

Most sellers try to fix returns immediately often by changing many things at once

Why that fails

Returns data looks clear, but it hides buyer intent. Acting on surface reasons usually creates new problems.

The pause that matters

Before fixing anything, the first step is to understand what buyers are actually reacting to

The real goal

The goal isn’t more work. It’s avoiding the wrong work.

Latest Insights

How Myntra Uses AI to Dominate Fashion E-commerce & How Small Businesses Can Replicate It

AI: The Secret Sauce Behind Myntra’s Success

In 2023, Myntra recorded 75 million new app users. This massive growth is driven by AI-powered innovations. But here’s the big question: Can a small business build similar AI-powered features without spending millions? The answer is a resounding YES!

This case study explores the challenges Myntra faced, how it overcame them using AI, and how small and medium-sized businesses can leverage AI affordably and with minimal complexity.

Ready to Work