Hub
Pricing About
WorkflowWorkflow

[Market Simulation] MS-195 Repeat Purchases

scientificstrategy profile image
Draft Latest edits on 
Nov 27, 2018 7:35 AM
Drag & drop
Like
Download workflow
Workflow preview
Shows how to simulate Customers repeatedly buying a single Product from a Category during a single shopping trip. The Law of Diminishing Marginal Utility states that after a Customer purchases a Product they are less likely to purchase the same Product again at the same time. But in this case, while Customers may continue to buy the same Product multiple times, they will not buy a different Product from the same Category. For example, Customers buying non-food consumable Products (such as toothpaste, soap, batteries, or light bulbs) will stock-up by buying only the same Product during a single shopping trip. Uses the KNIME Extension: Market Simulation by Scientific Strategy - Community Edition A comprehensive description of this workflow with step-by-step instructions can be found at the Scientific Strategy website: https://scientificstrategy.com/ms-195/

External resources

  • [Market Simulation] MS-195 Repeat Purchases
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

Created with KNIME Analytics Platform version 4.3.0
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Versions 3.6.0, 4.3.0

    knime
  • Go to item
    Market Simulation nodes by Scientific Strategy for KNIME - Community EditionTrusted extension

    Decision Ready, LLC

    Version 4.3.0

    scientificstrategy profile image
    scientificstrategy

Legal

By using or downloading the workflow, you agree to our terms and conditions.

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2025 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits