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Supply Sensinge2open

Leverage real-time supply signals to predict the probability of shortages and take proactive steps to assure supply, capture sales and safeguard customer service.

Vendor

Vendor

e2open

Company Website

Company Website

Product details

E2open Supply Sensing is an AI-powered solution that uses real-time signals, artificial intelligence, and market volatilities to predict supply shortages, enabling organizations to improve supply assurance, deliver better service, and lower inventory costs in an uncertain business environment.

Key Features

Real-time Data Analysis Utilizes real-time data and predictive analytics to provide visibility into potential inventory shortfalls.

  • Identifies potential supply shortages during specific periods
  • Monitors current service risk at various levels of aggregation

AI-Driven Decision Making Employs artificial intelligence to make smarter decisions and mitigate risks.

  • Provides prescriptive analytics for selecting alternate suppliers
  • Suggests options for adding manufacturing runs and changing production volumes

End-to-End Risk Mitigation Helps organizations mitigate risk across the entire supply chain.

  • Covers internal operations, upstream contract manufacturers, and downstream distribution partners
  • Enables collaborative planning with increased confidence

Benefits

Improved Supply Assurance Enhances the ability to predict and respond to supply shortages.

  • Reduces the impact of uncertainties like factory closures and labor shortages
  • Allows for proactive decision-making instead of constant reactive states

Enhanced Customer Satisfaction Helps maintain service levels and customer loyalty.

  • Enables monitoring of current service risk based on demand and supply state
  • Allows for identification and response to critical near-term service risks

Cost Optimization Balances inventory costs with service levels to maximize profits.

  • Reduces the need for costly expedites through smarter AI-driven decisions
  • Allows for review of tradeoffs between current service risk and inventory costs