How MarginWhiz Works

Step 1: Set Up Your Project

Create a new project with your core settings — like market, currency, and product types. MarginWhiz uses this setup to tailor your optimization cycles and target pricing intelligently.

Step 2: Upload Your Master Product Data

Drop in your product list as a CSV — including current margins, sales, and product attributes. MarginWhiz maps the fields and prepares your data for intelligent recommendations.

Step 3: Get MarginWhiz Recommendations

MarginWhiz analyzes your data and recommends optimal adjustments — based on your base margin and key product attributes like Size or Color. Suggestions are derived from our proprietary pricing engine trained on real-world patterns. You can override any recommendation — but most users just click Confirm and go.

Step 4: Run the Optimization Cycle

Once you're happy with the setup, MarginWhiz exports your new prices. You apply them in your store or system — then watch the sales roll in.

Step 5: Upload Sales Data & See What Worked

After the test period, upload actual sales. MarginWhiz compares before vs. after — and shows you what changed. It breaks down the impact by attribute, value, and overall effect.

Step 6: Get Smart Next-Step Recommendations

Based on the results, MarginWhiz recommends what to do next — continue with the same attribute, try a new one, or pause. You stay in control — but the system does the thinking.

💡 What powers the MarginWhiz Engine?

Our recommendation engine is built on real-world pricing logic, margin behavior, and industry-tested rules — combined with your live data. No black box, no generic models — just smart, transparent recommendations that evolve with every cycle.