Hype Cycle for Supply Chain Planning Technologies, 2017


Published: 18 December 2017 ID: G00319950

Analyst(s): | |

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Summary

Supply chain IT leaders can transform their supply chain planning technology by using this Hype Cycle. It provides guidance into the maturity and viability of various capabilities and underlying technologies that will transform the way planning decisions will be taken in the future.

Table of Contents

  • Analysis
    • What You Need to Know
    • The Hype Cycle
    • The Priority Matrix
    • Off the Hype Cycle
    • On the Rise
      • Transportation Forecasting
      • Algorithmic Supply Chain Planning
      • Segmented Response
      • Discrete-Event Simulation in SCP
      • In-Process HTAP
    • At the Peak
      • Respond Planning
      • Digital Business
      • Machine Learning
      • NLP
      • Prescriptive Analytics
      • SCM BPO
      • Cognitive Computing
      • Internet of Things
      • Integrated Business Planning/Stages 4 and 5 S&OP
      • Point-of-Decision HTAP
      • Predictive Analytics
      • Demand Signal Repository
    • Sliding Into the Trough
      • Stochastic Supply Chain Planning
      • Supply Chain Planning Collaboration
      • Big Data
      • Supply Planning
      • Profitable to Promise
      • Segmented Design
      • Segmented Planning
      • Supply Chain Planning System of Record
    • Climbing the Slope
      • Cost-to-Serve Analysis
      • Demand Sensing
      • Network Design
      • SaaS Supply Chain Planning
      • Multiechelon Inventory Optimization
      • Information Hubs for SCM
      • SCM BPaaS
      • DOM
      • Stage 3 S&OP
      • Capable-to-Promise Systems
      • Diagnostic Analytics
    • Entering the Plateau
      • Descriptive Analytics
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Gartner Recommended Reading
© 2017 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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