A digital control tower has the unique capability to seamlessly integrate disparate supply chain and logistics platforms like ERP, TMS, WMS, and CRM. It accumulates the data generated by these systems and displays it on an easy-to-understand dashboard.
While different organizations may measure on-time delivery differently, it can be defined as the number of shipments delivered on time to the customer with respect to the total number of orders shipped. And if this number happens to be low, it can signify potential issues in your supply chain that must be addressed to improve the overall efficiency of your processes, as well as the user experience.
ML capabilities empower logistics software to analyze historical data to deliver critical business information and predict issues that can impede deliveries, including congestion and early detection of pilferage and theft.
An advanced logistics software with machine learning capabilities can crawl through past incidents of thefts on a route and deliver valuable insights on why a particular route should be avoided completely or at a given point of time.
When you are a 3PL, cost is a factor you need to be cognizant of in order to keep your total costs of operation. This is possible through streamlined and data-driven management of job allocation, efficient handling of field operations, saving empty miles, improved collaboration between customers sand field delivery agents.
Within a short time, items under reverse logistics can transform into a parasite that feeds on an organization’s profitability. In the US alone, Statista highlights that return deliveries will cost $550 billion by 2020, 75.2 percent more than four years prior.