Defined and executed the MVP for Sawda.ai, a marketplace platform designed to connect buyers and sellers through AI-assisted workflows.

Led product strategy and MVP planning, focusing on structuring core marketplace interactions while keeping the product lean for early validation. The project emphasized clarity in buyer and seller journeys, rapid prototyping, and scalable foundations for future growth.

Sawda.ai is a marketplace MVP that streamlines buyer-seller interactions using AI-supported flows. The platform reduces friction in discovery, communication, and transaction steps by guiding users through structured, intent-driven processes.

Defined the MVP roadmap and feature priorities

Designed end-to-end buyer and seller UX flows

Structured AI-assisted workflows to support marketplace interactions

Rapidly prototyped and iterated on core features

Shipped a lean, validation-focused marketplace product

Figma

Rapid prototyping

Marketplace UX strategy

JavaScript

HTML / CSS

OpenAI API

Firebase / Bubble database

Stripe (payments & transactions)

Buyer and seller onboarding flows

AI-assisted discovery and interaction workflows

Marketplace-ready MVP architecture

Streamlined transaction and listing experience

Scalable foundation for future marketplace features

Lean marketplace scope for faster validation Prioritized core buyer–seller interactions over secondary features to test demand and usability early.

Clear separation of buyer and seller journeys Designed distinct flows to reduce confusion while maintaining a unified product experience.

AI-assisted guidance instead of full automation Used AI to support decision-making and workflow clarity without over-automating critical marketplace actions.

Rapid prototyping over heavy upfront planning Favored quick iterations and testing to refine assumptions and adjust the roadmap efficiently.

Scalable UX foundations Structured flows and data models to support future expansion without reworking core interactions.

Sawda.ai shipped as a functional marketplace MVP that validated key assumptions around buyer–seller workflows. The project reinforced the importance of simplicity in early-stage marketplaces and showed how AI can enhance, not complicate core interactions.