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

Purpose-driven Solutions for Every Situation

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.

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

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.

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