AI FOR RETAIL

This 40 page paper brings together a considerable amount of expertise in practical AI deployments and automated decision-making. It aims to help business and technology executives to approach the AI adoption challenge practically, identify cases where AI can make the most impact, and build AI-enabled business and technology strategies. This paper includes the following five case studies:

  • Promotion Targeting
  • Customer Intelligence
  • Promotion Price Optimization
  • Safety Stock
  • Product Information Management

Large Enterprise Optimization Case Studies

CONTENT

OVERVIEW

  • Potential for AI in Retail
  • Programmatic Methodology

CASE STUDIES

  • Promotion Targeting
  • Customer Intelligence
  • Promotion Price Optimization
  • Safety Stock
  • Product Information Management

Ilya Katsov

Head of Practice, Industrial AI

Ilya joined Grid Dynamics in 2009 and since then has been leading engagements with a number

of major retail and technology companies, focusing primarily on Big Data, Machine Learning, and

Economic Modeling. He is currently managing the Industrial AI consulting practice that helps

clients to become successful AI adopters and deliver innovative AI solutions. Prior to joining Grid

Dynamics, Ilya worked at Intel Research on emerging wireless communication technologies. He

is the author of several scientific articles and international patents, and also authored a book,

“Introduction to Algorithmic Marketing: Artificial Intelligence for Marketing Operations” (2017).

AUTHOR

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