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1
Introduction
2
Agenda
3
Price Optimisation
4
Price Optimisation Phases
5
Software Development
6
Assumptions
7
Systems Knowledge
8
Feature Types
9
Algorithms
10
Segmentation
11
Code optimisation
12
Static regression
13
Questions
14
Optimization Model
15
Productionising
16
Deployment
17
Optimisation without data
18
Adjusting the loss function
19
Interpreting elasticity
Description:
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.

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

Open Data Science
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