Logistics & Supply Chain

The chunk of data produced and communicated over the Internet is gradually increasing day by day, thereby constructing challenges for the organizations that would like to reap the benefits of analyzing this enormous influx of big data. This is because big data can produce unique insights into, customer buying patterns, market trends, and maintenance cycles, as well as into ways of lowering costs and enabling more targeted business decisions.

To evaluate the extent to which supply chain analytics is practiced within logistics and supply chain management, we propose a maturity framework of supply chain analytics. We highlight the aspects of supply chain analytics in logistics and supply chain management and denote the benefit of methodologies and techniques to gather, disseminate, analyze, and use big data-driven information. Additionally, we emphasize the requirement for managers to figure out big data business analytics and supply chain analytics as crucial capital that should be unified across business exercise to enable integrated enterprise business analytics

  • Data Science Services for 3PL providers
  • Route Optimization
  • Reduce fuel consumption
  • Avoid Accidents
  • Avoid Traffic
  • Preventive Maintenance
  • Underutilised/over utilized vehicle classification
  • Accident analytics
  • Repair tracking analytics
  • Freight expense reduction
  • Demand Forecasting
  • Real-Time Tracking Dashboards
  • Order Fulfilment