Manufacturing

Increased exposure to supplier risks, lean manufacturing and cost pressures are driving rapid change across manufacturing supply chains. In response to these pressures, leading manufacturers have begun to adopt processes and technologies more commonly seen in fast moving supply chains such as fast fashion and high-tech.

Manufacturing executives and shareholders alike are now demanding that the short cycle times, low inventory levels and responsiveness to dynamic customer demands—all hallmarks of fast fashion and high-tech—be realized within their own manufacturing supply chains.

Real-time visibility of global goods in motion, tighter coordination of hand-offs between extended trading partners, and the ability to anticipate and avoid supply chain disruptions are now foundational requirements for manufacturers. Fortunately for manufacturers, a new breed of solutions has emerged that leverage data gathered from the Internet of Things (IoT) and advanced machine learning algorithms to facilitate this transition.

manufaturing

P2L Addresses the Toughest Manufacturing Supply Chain Challenges:

  • Providing real-time visibility into the location and status of critical parts, finished goods, and other shipments anywhere in the world
  • Highly accurate ETAs for parts and finished goods
  • Transparency and visibility into all phases of a journey, with prescriptive recommendations for route or modal shifts
  • Predictive insights into likely disruptions—from weather, port congestion, natural disasters, labor strikes, political unrest, and other factors
  • Transportation event logging
  • N-tier supplier monitoring, risk assessment and performance analysis
  • Carrier performance analysis and reporting
  • Insights into dwell times at ports
  • Monitoring and predicting border crossing times for international shipments
  • Real-time network modeling and optimization
  • Visibility of inventory on hand at dealers and distributors