Parbat

About Parbat

Parbat is an AI-powered pricing platform that reclaims the 12% of annual revenue Shopify brands lose to suboptimal pricing and reactive markdowns.

Meet Z, our "pricing sherpa," continuously analyzing demand signals and inventory to identify hidden opportunities. Unlike traditional A/B testing tools, Parbat uses autonomous shopping agents to simulate price changes in a risk-free "brand sandbox," projecting the precise impact on profit, conversion, and sell-through before going live.

Through an intuitive conversational interface, brand managers approve guard-railed recommendations in a single click. Parbat then executes the changes and monitors the lift, creating a closed loop that turns pricing from a constant guesswork into a powerful growth engine.

Team

Farrukh Zaman

Founder

Problem statement

Commerce brands are fighting a silent, $300 billion-a-year battle against revenue leakage. Suboptimal pricing and reactive markdowns cost the average brand ~12% of its annual revenue, a problem that has intensified as markdowns have grown to represent 40% of all retail sales.

This isn't a failure of ambition; it's a failure of tooling. Brand managers see the signals—a product goes viral on Friday, but by the time they can react on Monday, they've stocked out and left thousands in revenue on the table. They see dashboards flagging high discount rates but lack the tools to translate that insight into a specific, safe action like "Raise prices 3-5% on our best-sellers".

Existing solutions force a terrible choice: either make pricing changes based on gut-feel or run risky live A/B tests that can alienate customers and crush margins. Pricing is a complex decision with hard constraints, and today's tools are one-dimensional, forcing brands to optimize for conversion at the expense of profit, or vice-versa. Parbat is built to solve this multi-dimensional problem.

Updates

Profile created.

Added about 1 month ago