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.

Backend service for the Price Optimization Tool — built with Django and Django REST Framework. Provides secure APIs for product management, demand forecasting, and price optimization with role-based authentication and filtering.

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

Adaptive pricing system for profit maximisation featuring frontend adapters, user modelling, APIs, and model evaluation.

A Dynamic Pricing framework integrating Monte Carlo simulations for demand uncertainty analysis and Response Surface Methodology (RSM) to optimize pricing strategies and maximize revenue.

💰 Access real-time Azure retail pricing with this MCP server; query VM prices, compare costs, and estimate monthly bills using natural language.