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
Data
- Product characteristics and attributes
- Customer characteristics and attributes
- Demand and price history
Analytics
- 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
Insights
- 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
Actions
- 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
Outcome
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
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Automated insights generation from connected enterprise and external data
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Descriptive, Diagnostic, Predictive, and Prescriptive Analytics driving actionable insights
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Persona-based approach to provide contextual insights on near real-time basis
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High adoption with curated natural language insights available on chat, voice, enterprise BI platforms, executive presentations, emails, Teams, Slack, etc.
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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
