This project is an AI-powered pricing intelligence app that helps users estimate optimal pricing for a company’s product or service by combining multiple expert perspectives. Users enter a company name or URL, and the app analyzes the business using a multi-persona workflow spanning market analysis, value engineering, and customer psychology. It then generates a synthesized pricing recommendation, including a recommended price, confidence score, and price range, with support for currency and billing-period switching. The experience is built with Next.js and Genkit, and it uses Gemini-powered AI flows to turn public company and pricing data into actionable pricing insights.
- Persona-Based Simulation to model how different customer segments respond to pricing
- Scenario Testing for comparing multiple pricing strategies in real time
- Value Sensitivity Mapping across features, pricing tiers, and user intent
- Clean, Interactive UI designed for speed and clarity
- Pricing strategy development for early-stage startups
- Testing willingness-to-pay assumptions across user segments
- Product packaging and tier structuring
- Internal discussions and alignment on pricing decisions
- Rapid validation before deeper financial modeling