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PricingOS — AI Pricing Strategy Platform

Build your pricing strategy with AI through a structured 9-step framework. Personalized AI Brain for product, market, and customer analysis.

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9
Technologies
5
Key features
Client
Lukas Ellmann
Category
AI & machine learning
Project preview
PricingOS — AI Pricing Strategy Platform

Technology

Technologies and features.

The stack and the key features behind the project.

Technologies

9
  • Next.js 15 with App Router
  • TypeScript end-to-end
  • Tailwind CSS with glassmorphic dark design
  • OpenAI API integration for AI Brain
  • Stripe for subscription payments
  • Vercel deployment
  • GDPR-compliant infrastructure
  • Responsive design — desktop & mobile
  • Google Analytics with GDPR consent
AI & machine learning

Key features

5
  • Personalised AI Brain that continuously learns each business context
  • Structured 9-step workshop-style pricing framework
  • Upload pitch decks or business plans for instant AI analysis
  • AI-calibrated price boundaries with confidence scoring
  • One-click pricing playbook PDF generation

The project

From brief to result.

The context, the challenge, what we did and the results, step by step.

  1. 01Context
  2. 02The challenge
  3. 03What we did
  4. 04Results

This case study is based on the project’s own information; any outcomes mentioned are not independently measured.

Context

PricingOS.ai is an AI-powered pricing system built for startup founders, developed for Ellmann Consulting GmbH (Hamburg). It guides businesses through a structured 9-step process to build their pricing foundation, train a personalised AI Brain over time, and continuously improve recommendations with stronger data.

The platform works in three phases: Foundation (product, customers, competition, costs), Pricing Decisions (boundaries, model, strategy), and Your Pricing Brain (continuous AI learning and refinement).

PricingOS.ai offers two plans: Starter (€49/month, up to 2 products) and Pro (€79/month, unlimited products with AI Brain chat). Both include a 14-day money-back guarantee.

Powered by Ellmann Consulting, built by Azinove.

The challenge

Startup founders often set prices based on gut feeling or competitor copying, leaving significant revenue on the table. Manual pricing consulting costs €5K-20K per engagement. Founders needed an affordable, scalable tool delivering pricing strategy guidance without hiring a consultant.

What we did

Full-stack AI SaaS platform with 9-step guided pricing framework: product setup with document AI analysis, customer segmentation, competitive mapping, value proposition quantification, financial modelling, price boundary calibration, pricing model selection, and final AI recommendation with confidence scoring. Plus AI Brain chat, improvement to-dos, brain training tasks, and PDF playbook export.

Results

Full 9-step AI pricing framework in production. Two-tier SaaS (€49 Starter / €79 Pro). Automated document analysis. PDF pricing playbook generation. Real-time competitive analysis. Bilingual EN/DE. Stripe payments. GDPR-compliant.

Testimonial

What the client says.

Azinove turned our pricing methodology into a powerful SaaS platform. The AI integration and real-time analytics dashboard are exactly what consulting firms need.
Lukas EllmannFounder, Ellmann Consulting

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Direct conversation · No imposed scope · Risks surfaced early

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