Research Focus

The Retail Analytics Council is guided by the Advisory Board and Directors.  In addition to publishing its research, the work is further explored in executive conferences, forums, and other activities.

Marketing Mix
Modeling

  • In-store
  • Online

Customer-Driven Marketing

  • Customer experience
  • Segmentation and personalization
  • Trend forecasting and model response

Technologies

  • 5G and IoT
  • Blockchain applications
  • Data-driven analytics and AI
  • Facial/frictionless pay
  • Intelligent packaging
  • Machine vision
  • Modeling and methodologies
  • Natural Language Processing
  • Robots/automation
  • Quantum computing

Operations

  • Demand prediction
  • Direct to consumer
  • Dynamic pricing
  • Labor 0ptimization
  • Localized assortment
  • Supply chain