📅 Date: 19 December 2025

🎙️ Organizer: Berlin AI Engineering Group by m|rig

🔐 About the event:
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 interact during the session.

🎯 Suitable for:

• Engineers and data scientists interested in AI and pricing strategies
• Product managers and business analysts exploring dynamic pricing
• Anyone curious about applying AI to real-world business challenges

📅 Duration: 60 minutes

🔗 Link to event: Meetup Event Page
Join the Webinar