🤖 AI for Engineers - Building an AI-Powered Dynamic Pricer
Details
Companies across retail, logistics, e-commerce, and financial services are increasingly turning to AI-driven dynamic pricing to react to demand, optimize margins, and compete in fast-moving markets.
But how do you actually design, build, and deploy a dynamic pricer that is robust, data-driven, and aligned with business goals?
In this 60-minute interactive webinar, we’ll walk through the end-to-end design of an AI-based pricing engine—from data architecture to the ML algorithms that power real-time price recommendations.
You will also see a live demonstration of a fully functional dynamic pricer based on a real-world use case.
******************************************
You’ll learn
🧩 Core Concepts of Dynamic Pricing with AI
How modern AI pricing systems differ from rule-based models, and which business contexts benefit most from dynamic pricing.
🏗️ Data Architecture for Pricing Engines
How to design a scalable data pipeline for pricing:
- internal & external data sources
- feature engineering for pricing
- model training and inference
🤖 Machine Learning Models for Pricing
A clear overview of the ML techniques commonly used in pricing, including:
- demand forecasting models
- price elasticity estimation
- how to measure uplift and avoid bias
💡 Live Demo: Real-World Dynamic Pricer
Watch a full pricing engine in action:
- data flows & features
- price output
- impact on revenue and margins
🧪 Interactive Q&A and Pricing Scenarios
Participants will be able to ask questions and interract during the session.
******************************************
📅 Duration: 60 minutes
🔗 URL: https://events.teams.microsoft.com/event/3234552d-7ee7-4b22-8978-3d4b61a3dd51@d94ea0cb-fd25-43ad-bf69-8d9e42e4d175