Supply Chain Segmentation

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 C5i’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

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

Recognition for Discovery