AI Engineer for Dynamic Pricing & Demand Forecasting

An experienced AI Engineer specializing in dynamic pricing and demand forecasting to maximize e-commerce profitability and operational efficiency. With expertise in machine learning, predictive analytics, and AI automation, this engineer helps businesses optimize pricing strategies, forecast demand accurately, and drive revenue growth.

• AI-Driven Dynamic Pricing Engine – Developed an AI-powered pricing model that dynamically adjusts prices in real-time, leading to a 22% increase in revenue by considering market trends, competitor pricing, and customer behavior.
  
  Demand Forecasting System for Inventory Optimization – Created a predictive analytics tool that improved inventory management accuracy by 40%, reducing stockouts and overstocking issues.
  
  Personalized Pricing Strategies for Customer Segments – Built an AI-based customer segmentation model that customized pricing for different user groups, increasing customer lifetime value by 25%.
  
  Competitor Price Monitoring & Optimization – Implemented an AI-driven competitor tracking system that enabled real-time price adjustments, boosting sales by 18%.
  
  AI-Powered A/B Testing for Pricing Strategies – Developed an automated A/B testing platform that identified optimal pricing models, improving profit margins by 15%.