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Logistics Analytics: A Smart Strategy to Identify the Most Cost-Intensive Routes
analitik logistik cerdas

In today’s highly competitive logistics landscape, efficiency is the key to reducing operational costs and boosting profitability. One often overlooked area is route analytics—especially when it comes to identifying which delivery routes are the most expensive. By leveraging data-driven approaches, businesses can evaluate and optimize their distribution routes with precision and insight.

Why Route Analysis Matters in Logistics

Each delivery route presents unique characteristics. Some routes may appear shorter on a map, yet end up being more costly due to traffic congestion, higher fuel consumption, elevated return rates, or frequent delivery delays. Without deep analysis, companies risk wasting significant resources on routes that only seem efficient on paper.

Key Parameters in Route Analytics

To identify the most cost-intensive routes, companies can collect and analyze data across several core parameters:

  • Fuel Consumption: Routes with heavy traffic or difficult terrain tend to burn more fuel.
  • Delay Time: Delivery delays directly impact customer satisfaction and fleet efficiency.
  • Return Rate: High returns may indicate issues with the route—such as damaged goods or incorrect addresses.
  • Fleet Cost: Includes operational expenses, vehicle maintenance, and labor required to operate along specific routes.

By calculating the total cost and comparing it to the shipment volume or delivery value per route, companies can develop a logistics efficiency index to guide decision-making.

Route Optimization Using Efficiency Index

Once cost-heavy routes are identified, the next step is optimization. A logistics efficiency index can be created by combining the parameters above, weighted according to business priorities.

Routes with the highest index scores indicate inefficiency and should be prioritized for improvement. Optimization efforts may include:

  • Switching to alternative transportation modes
  • Rescheduling deliveries to avoid peak traffic hours
  • Partnering with local logistics providers
  • Utilizing GPS and IoT for real-time tracking and data accuracy

SPIL’s Smart Logistics Services: Data-Driven Efficiency

PT SPIL understands these challenges and offers data-powered logistics solutions to help customers manage shipments more effectively. Through the MySPIL Reloaded platform, users can:

  • Track shipments in real time
  • Access historical route performance and shipment records
  • Optimize route choices based on performance analytics
  • Receive smart notifications to prevent delays or container free time penalties

In addition, SPIL provides customized logistics services, allowing customers to design their distribution strategies based on their unique operational needs—including cost-efficient route recommendations and flexible delivery schedules.


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