About MarginWhiz

MarginWhiz is a SaaS product designed to support pricing and margin decisions using data, structured logic, and selective AI assistance. It focuses on making complex margin behavior visible and actionable through repeatable optimization cycles.

The Challenge

  • Margins that don’t make sense — and no clear reason why.
  • Pricing guesswork with little feedback or learning.
  • Data dashboards everywhere, but no direction.

Product Rationale

Across ecommerce and SaaS platforms, pricing decisions are often made with limited feedback and delayed learning. MarginWhiz was designed to close that gap by providing structured insight into where margins change and why.

MarginWhiz combines pricing logic, observed margin behaviour, and system constraints with your data to generate recommendations. AI is applied selectively where it adds value, with clear review and control at each step. The goal is to support informed judgment, not replace it.

What MarginWhiz Helps You Do

  • Upload your product and sales data (CSV works great)
  • See what’s driving — or draining — profitability
  • Run controlled margin adjustments by product attributes
  • Learn what works and improve cycle after cycle

Built for Real-World Sellers

MarginWhiz is designed to be practical and usable in real operational contexts. It avoids complex setup or opaque models, focusing instead on clarity, control, and repeatable outcomes.


Rakesh Gupta

About Me

I’m Rakesh Gupta, a product leader with 20+ years across enterprise SaaS and commerce systems. MarginWhiz reflects my experience building decision-support systems that operate under real-world constraints.