September 3, 2017

IoT in Logistics & Distribution Industry

Ever expanding markets and growing size of supply chains are posing new challenges to organizations.

Your company, however, cannot grow faster than its supply chain infrastructure; understanding the range and limitations of your supply chain is critical for expansion. As much as your supply chain is the backbone of your company, your fleet is the lifeline of your business.

A complex supply chain with large numbers of moving parts, tight customer fulfillment time-lines and demand volatility is increasingly putting more and more pressure on companies to manage their fleet more effectively, reduce the operating cost and create more value for their customers. Regardless of your industry, it has become imperative to address the challenges posed on your supply chains by the fleet management related issues.

According to Alyssa Dwyer, strategic consultant for GE Capital Fleet Services-“There has been a significant increase in Fleet maintenance costs year over year, less due to an increase in parts and labor cost, but predominantly because of the increased frequency of repairs as a result of aging inventories”. Optimization of the total cost of ownership (TCO) of your fleet depends on how effectively you can manage the three “cost aspects” of your fleet- Fuel cost, Asset cost and Maintenance cost.

 

See how IoT can help you with the most common issues of logistics and distribution industry:

Transportation and Logistics

This includes:

  • Smart and connected fleet
  • Safe driving
  • Driver behavior
  • Vehicle tracking
  • Remote fleet monitoring
  • Vehicle scheduling

 Reducing Operating Costs & Increasing Efficiency 

  • Vehicle routing to improve fleet efficiency, productivity, and profitability
  • Fuel consumption management
  • Improved asset utilization
  • Maintenance management through the analytics of sensor derived data
  • Fleet cost
  • Fleet performance
  • Reduce administration cost
  • Capacity planning
  • Logistics analysis
  • Repair management,
  • Servicing management
  • Warranty management
  • Predictive maintenance