Arrow Solution Play
Smart Cargo Monitoring With SpotSee and IBM Maximo
Smart Cargo Monitoring With SpotSee and IBM Maximo is a certified and fully validated IoT solution play designed for Arrow partners that offers visibility of location and condition of shipments in real-time, as well as trending/analysis of cargo shipment data to enable better business decisions. This solution can reduce shipping damage by 40-60%.

Two market leaders make up this solution play — SpotSee with its best-in-class and unique tracking devices and IBM’s Watson IoT Platform and Maximo Asset Monitor that delivers built-in, AI-enabled anomaly detection and custom, no-code dashboards.

Benefits of This Solution Play

  • Connecting the Supply Chain: Data integration from multiple sources of data about cargo state and environmental conditions
  • Deter and Detect: Monitor handling to prevent bad behavior and minimize costs through damage detection in real-time
  • Operate at Scale: Ability to scale and visualize cargo damage across entire supply chain through single dashboard
  • AI-Powered Anomaly Detection (at scale): Advanced analytics and AI that can quickly detect cargo damage and leverage data from cargo damage root-cause history
  • Root Cause Analytics: Alert notifications and drill-down capabilities for resolution teams
  • Journey to Predict: Maximo Asset Monitor – the foundation for predictive maintenance and asset health

Here's What You Get!

Each Arrow Solution Playbook will enable you with a complete package of go-to-market sales tools and resources, including:
  • Market data and customer profiling
  • Data sheets, battle cards, and use cases
  • Reference architectures and technical briefs
  • And much more!
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Useful Resources

Video: Smart Cargo Monitoring With SpotSee and IBM Maximo Solution Play
Video: SpotSee Supply Chain Monitoring: Save Money, Reduce Damage
Video: Introducing IBM Maximo Asset Manager
Video: ShockWatch RFID Impact Indicator
Website: Comparisons of SpotSee Impact Sensors, Impact Monitors and Shock Sensors

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