Price Optimisation - From Exploration to Productionising - David Adey, PhD & Alexey Drozdetskiy, PhD

Explore dynamic price optimization techniques in this conference talk from ODSC Europe 2019. Learn about the process from initial data exploration to cloud-based deployment, covering statistical analysis, stakeholder engagement, and legacy system reverse engineering. Discover methods for encoding large categorical features, model selection strategies, and efficiency modifications for rapid retraining. Gain insights into deploying solutions in cloud environments, focusing on reliability, scalability, and user experience. Delve into topics such as feature types, algorithms, segmentation, code optimization, static regression, and interpreting elasticity. Understand how machine learning models built on sales data can increase revenue through optimized pricing and reduced lost sales.

Introduction
Agenda
Price Optimisation
Price Optimisation Phases
Software Development
Assumptions
Systems Knowledge
Feature Types
Algorithms
Segmentation
Code optimisation
Static regression
Questions
Optimization Model
Productionising
Deployment
Optimisation without data
Adjusting the loss function
Interpreting elasticity