Supply Chain Analytics

Overcome Supply Chain inefficiencies by empowering functional users with actionable insights & recommendations

The Supply Chain Analytics Landscape

With growing Supply Chain inefficiencies, expectations around end-to-end visibility through digitization are on the rise. Building a sustainable and resilient supply chain for the future, with relevant and actionable insights powered by Machine Learning and AI, is critical for today’s Supply Chain leaders.

Supply Chain Analytics has become a mainstream focus area for various industries. The analytical tools that enable Supply Chain Analytics include Exception Analytics, Cognitive Alerting, Demand Forecasting, Prescriptive Recommendations, Optimizations, What-if Scenarios, and Digital Twins. The analytics and AI-powered Supply Chain has emerged as a distinctive competency for modern enterprises, a trend that will continue in the coming years.

How Course5’s Supply Chain Analytics Solutions Help

Service Level Optimization

End-to-End Supply Chain Visibility

Cross-functional Collaboration

Reduced Inventory Costs through Smarter Demand Sensing & Forecasting

Service Level Compliance

Better Customer Experience

Significant reduction in Supply Chain inefficiencies

Augmentation of Transportation & Logistics Responsiveness

Smarter Sales & Distribution

See how you can go from supply chain analytics to business impact

Purpose-driven Solutions for Every Situation

Service Level Optimization

Cognitive Alerting

Assess point and contextual anomalies with relevant explanations and early warning signals for functional and executive personas to respond in near-real-time.

Demand Sensing

Help your planners make short-term decisions based on recent events and demand signals from across the Supply Chain. Overcome latency issues associated with traditional time-series forecasting methods.

Service Level Optimization
Service Level Optimization

Demand Sensing

Help your planners make short-term decisions based on recent events and demand signals from across the Supply Chain. Overcome latency issues associated with traditional time-series forecasting methods.

Service Level Optimization

Multi-echelon Inventory Optimization

Maintain optimum inventory levels throughout the distribution network. Use what-if scenario engines to determine volumetric and financial effects. Automate model switching and account for actual demand variability using Machine Learning.

Order Lead Time Optimization

Collaborate with upstream partners on weekly demand forecasts (aggregate and granular levels). Optimize order processing workflow along with hub-and-spoke network operations.

Service Level Optimization
Service Level Optimization

Order Lead Time Optimization

Collaborate with upstream partners on weekly demand forecasts (aggregate and granular levels). Optimize order processing workflow along with hub-and-spoke network operations.

Service Level Optimization

Service Level Optimization

Drive categorization and prioritization of customer service elements by profitability tier and customer segment. Gauge affordability of service level actions through cost/benefit analysis. Optimize order processing workflow and hub-and-spoke network operations.

Maximizing On-shelf Availability

Leverage Nielsen and retailer-syndicated store and shopper-level data to optimize Supply Chain processes through JIT delivery, full truckloads of inventory (TLs), on-time shipment, forecast accuracy and efficiencies at distribution centers to maximize on-shelf availability.

Service Level Optimization
Service Level Optimization

Maximizing On-shelf Availability

Leverage Nielsen and retailer-syndicated store and shopper-level data to optimize Supply Chain processes through JIT delivery, full truckloads of inventory (TLs), on-time shipment, forecast accuracy and efficiencies at distribution centers to maximize on-shelf availability.

Service Level Optimization

Order Visibility & Customer Experience

Preempt order backlogs and last-mile delivery challenges. Deliver near-real-time order visibility to retail and D2C customers with reliable ETAs, and consistently invest in nurturing trust and loyalty among customers.

Next Steps

Get Started with Supply Chain Analytics

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