Identify supply chain segments using advanced data analytics and define tailored supply chain strategies to maximize customer value proposition. Enable better planning, increased visibility, appropriate inventory policies by segment, and a reduction in variability in both demand as well as lead-time.

How Course5’s Supply Chain Segmentation Solution Helps

Drive last-mile adoption & business impact through ease of consumption and role-based insights


  • Product characteristics and attributes
  • Customer characteristics and attributes
  • Demand and price history


  • Clustering techniques to segment products and customers based on a combination of attributes including demand, demand volatility, margin, responsiveness, and lead time
  • Optimization models to analyze and optimize supply chain strategies across product flow, inventory, transportation by segment, and more


  • Each segment typically ties to a distinct value proposition – efficiency vs. speed vs. selection
  • New segments within existing channels/business segments that require a different supply chain strategy
  • Supply chain strategy for each segment while leveraging economies of scale across all segments


  • Redefine the supply chain strategy to maximize segment value proposition (e.g. make-to-stock, make-to-order, configure-to-order)
  • Rationalize and align product design and offerings to leverage scale while aligning with segment strategies

Improve response time to market demand by 20%–25%.
Maximize your customer value proposition.

Connected Intelligence with AI-powered Augmented Analytics Platform
Course5 Discovery

Powered by Generative AI

Deliver relevant, actionable, and human-friendly insights across multiple consumption mediums and personas to create an insights-first culture that rewards data-driven decision-making

  • Automated insights generation from connected enterprise and external data

  • Descriptive, Diagnostic, Predictive, and Prescriptive Analytics driving actionable insights

  • Persona-based approach to provide contextual insights on near real-time basis

  • High adoption with curated natural language insights available on chat, voice, enterprise BI platforms, executive presentations, emails, Teams, Slack, etc.

  • Tracking of impact of decision-making on key performance indicators (KPIs)

Important Metrics

Speed-to-actionable insights reduced from days to seconds

45% increase in analytics adoption by use of generative and conversational AI

30% time savings with a single source of truth and Natural Language querying

~20% revenue impact with timely, data-driven decision-making

Next Steps

Get Started with Supply Chain Segmentation