💰 Billing & Payments knowledge for cloud platforms

11 go-to-market skills for AI and technical founders — positioning, pricing, partnerships, enterprise sales, PLG, AI GTM, and board communication.

Business consulting plugin for Claude — 16 skills, 24 commands, 5 industry overlays. Market research, competitive analysis, financial modeling, strategy frameworks, pricing, M&A, digital transformation, risk, talent, and more.

This article reframes pricing as a negotiation rather than a prediction, showing how price emerges from tensions between product reality, market dynamics, and buyer behavior. It introduces negotiation-aware ML, value decomposition, and equilibrium modeling to build transparent, human-aligned pricing systems.

Multi-agent LLM simulations testing algorithmic collusion and coordination breakdown in oligopoly markets.

Dynamic Pricing is an application of data science that involves adjusting the prices of a product or service based on various factors in real time. It is used by companies to optimize revenue by setting flexible prices that respond to market demand, demographics, customer behaviour and competitor prices.

Streamlit application to evaluate price elasticity of demand and optimize retail and combo menu pricing using regression models.

The Complete AI & Technical Founder GTM Toolkit 2026 – Pricing, PLG & Enterprise Sales

🏪 Multi-agent AI assistant for Indonesian UMKM. Riset kompetitor → strategi harga → konten → CS auto-reply. Powered by Xiaomi MiMo.

Analyze consumer preferences to segment products and guide product, pricing, and portfolio strategy using affinity-based data.

A luxury retail analytics project utilizing Inferential Statistics (Confidence Intervals for Means & Proportions) to optimize diamond pricing strategies and forecast inventory distribution using Excel and Google Sheets.

How to price digital products for maximum revenue — product ladders, psychology-based pricing, and bundle strategies for creators.

No more doubts about pricing products. 12 scenarios → 1 definitive pricing strategy.

Machine Learning capstone project predicting used car prices using data preprocessing, feature engineering, and regression modeling. Includes EDA, model development, evaluation, and business insights for pricing strategy.

Business-focused credit risk review of 148,670 loans, uncovering a failed credit score model, regional pricing gaps, and hidden high-LTV exposure. Built with SQL Server and Power BI to support risk, pricing, and lending decisions.

21 enterprise consulting skills for Claude Opus: market sizing, strategy analysis, financial modeling, execution planning, and executive-ready recommendations.

Business Experimentation: A/B Testing

End-to-end retail inventory analytics project using SQL and Python (SQLAlchemy), featuring ETL pipelines and data modeling on 12M+ transactions to optimize inventory, turnover, pricing, and vendor strategy.

A web-based AI calculator helping SMEs (UMKM) accurately calculate Cost of Goods Sold (HPP/COGS) and profit margins using Python and Streamlit.

Multi-market expansion & monetization strategy case study for Ai Palette: localization-vs-tiering matrix, hybrid pricing, GTM motion, MDP-based market sequencing, SHAP-style decision science, and a bottoms-up ARR model (~USD 9.2M Y3 / USD 28M Y5).