Optimize supply chain operations with end-to-end (E2E) visibility on a centralized view of the business. Leverage an integrated framework of real-time visibility and root-cause framework with recommendations across the end-to-end supply chain. Enable rapid response targeting improvements in costs, inventory, quality, customer service, and asset utilization.
Data
- Centralized data from ERP applications, planning and optimization, transportation, and warehouse management
- Inventory at plants, warehouses, distribution centers, store backrooms, and on-shelf
- Shipment
- Transportation, telemetry
- Production outputs
- Point of sale (POS) data
- Purchase orders
- Rejects
- Advanced Shipping Notices (ASNs)
Analytics
- Visualization of KPIs at a global level
- Guided navigation and drill-down capabilities
- Root cause analysis
- List of alerts, including their criticality to work by exception
- Deep-dive into various operational indicators
- Basic “what-if” analytics
- AI and ML-generated insights, saving practitioners vast amounts of time searching, correlating, and analyzing data
Insights
- Visibility to events with minimal disruption of day-to-day operations
- Cross-functional decision making
- Management of key functional performance indicators
Actions
- Enable easy track & trace with direct visibility and insights into inbound and outbound logistics, including ASN and deliveries
- Reduce cost-to-serve and help deliver the “perfect order” to customers more often
- Manage inventory more effectively with visibility and insights into imbalances, shortages, stockouts, and expiring inventory
- Facilitate supplier development tracking
- Enhance visibility across the whole supply chain
Outcome
Reduce inventory by 10%–20% while
improving customer service and asset utilization.
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
