Gartner Research

Hype Cycle for Supply Chain Planning Technologies, 2019

Published: 29 October 2019

ID: G00463637

Analyst(s): Amber Salley , Alex Pradhan, Pia Orup Lund , Tim Payne

Summary

Supply chain technology leaders can transform their supply chain planning technology landscapes by using this Hype Cycle. It gives guidance into the maturity and viability of various capabilities and underlying technologies that will transform the way planning decisions will be made 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
    • Resilient Planning
    • Natural Language Generation
    • Digital Supply Chain Twin
    • Long-Term Demand Sensing
    • DDMRP
    • Algorithmic Supply Chain Planning
    • Discrete-Event Simulation in SCP
  • At the Peak
    • Autonomous Planning
    • Continuous Intelligence
    • Distributed Order Management
    • Respond Planning
    • SCP Outsourcing
    • AutoML
    • Digital Supply Chain Planning
  • Sliding Into the Trough
    • Demand Signal Repository
    • Cognitive Computing
    • Integrated Business Planning
    • Configure Planning
    • Machine Learning
    • Robotic Process Automation
    • Internet of Things
    • Continuous Planning
    • Prescriptive Analytics
    • Stochastic Supply Chain Planning
    • Supply Chain Convergence
    • Predictive Analytics
    • Supply Planning
    • Profitable to Promise
    • Data Lakes
    • CORE
    • Optimize Planning
  • Climbing the Slope
    • SC Segmentation
    • Supply Chain Planning System of Record
    • Short-Term Demand Sensing
    • Network Design
    • Multiechelon Inventory Optimization
    • Supply Chain Visibility
    • S&OP
  • Entering the Plateau
    • Diagnostic Analytics
    • Descriptive Analytics
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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