Knowing the total cost of transportation is not enough to understand whether distribution operations are efficient. The overall figure shows how much has been spent, but it does not reveal which customers, regions, carriers, or operational choices generated those costs.
The Transportation Costs dashboard in B-AI Semplice breaks down transportation expenses and makes it possible to quickly identify where costs exceed the company average or target. This allows transportation managers to address specific issues instead of simply discovering at the end of the month that the budget has been exceeded.
Understanding Which Areas Are More Expensive
The dashboard displays the average cost per delivery across different geographic areas, making it possible to compare regions, provinces, and individual ZIP codes.
For example, if deliveries in Apulia cost, on average, 40 percent more than the national average, managers can investigate the number of shipments, departure frequency, vehicle utilization, and the carrier involved.
Higher costs may be justified by longer distances, but they may also result from overly frequent trips carrying only a small number of orders. In this case, consolidating deliveries on fixed days can reduce the number of departures and lower the unit cost.
The cost map by ZIP code immediately highlights areas that exceed targets, showing where distribution is eroding margins and where service is being managed more efficiently.
Measuring the Real Cost of Each Customer
Customers with similar volumes can generate very different transportation costs.
A customer who consolidates orders into a single weekly delivery may be more efficient than one who requires multiple small shipments, mandatory delivery appointments, or urgent deliveries.
The dashboard makes it possible to analyze the cost per delivery for each customer and measure its impact on overall performance. If a single customer in Milan increases monthly transportation costs by 15 percent, the transportation manager can determine whether the increase is driven by higher volumes or by fragmented orders and unscheduled departures.
This analysis can lead to concrete decisions, such as establishing fixed delivery days, introducing minimum order quantities, modifying cut-off times, or assigning an economic value to additional services requested by customers.
Comparing Carriers on the Same Routes
The total amount invoiced by a carrier is not enough to evaluate its competitiveness, because it may handle a larger number of shipments or more distant destinations.
Meaningful comparisons can only be made when carriers are evaluated on the same routes, ZIP codes, vehicle types, and service requirements.
The dashboard displays the cost per kilometer for different carriers and highlights significant differences within the same areas. If two carriers serve the same ZIP codes but one consistently shows a higher cost per kilometer, the transportation manager has concrete data to renegotiate rates or reassign part of the shipment volume.
Price should not be the only criterion, of course, because punctuality, reliability, and service quality must also be considered. However, the dashboard makes it possible to determine whether any cost difference is genuinely justified.
Distinguishing a Peak From a Structural Problem
Analyzing costs by day, week, and month makes it possible to distinguish a one-off increase from a trend that is becoming structural.
A daily spike may be caused by an urgent shipment or an exceptional trip. An increase that continues for several weeks, on the other hand, may indicate lower vehicle utilization, changing destinations, or gradually increasing transportation rates.
This analysis allows managers to intervene before the end of the month and measure the impact of their decisions by comparing performance before and after operational changes.
Increasing Vehicle Utilization and Reducing Empty Trips
When a vehicle operates partially loaded, transportation costs are spread across a smaller number of deliveries, increasing the cost per shipment.
The dashboard helps identify expensive routes characterized by low volumes or very frequent departures. Managers can then evaluate order consolidation, the use of more suitable vehicles, or the rescheduling of deliveries to different days.
They can also identify backhaul opportunities by organizing pickups in delivery areas and avoiding empty return trips. In this way, a return journey that has already been paid for can be transformed into a productive activity.
Reducing Urgent Shipments by Adjusting Cut-Off Times and Pickup Windows
Part of transportation costs arises before vehicles even leave the warehouse, when orders arrive too late to be consolidated and must therefore be assigned to urgent or dedicated shipments.
The dashboard helps identify customers, days, and time slots in which these situations occur most frequently. Adjusting the cut-off time by even a few hours can increase the time available to consolidate shipments heading to the same area and reduce extraordinary departures.
The same analysis can also be used to review pickup windows agreed upon with carriers, avoiding overly rigid constraints that prevent more efficient planning.
Analyzing Costs With Artificial Intelligence
The dashboard can also be queried in natural language through the Artificial Intelligence integrated into B-AI Semplice.
Managers can ask which ZIP codes exceeded the average cost, which customers contributed most to monthly cost increases, or which carrier has the highest cost per kilometer in a specific area.
It is also possible to activate the AI Analyzer, which reads the data displayed in the dashboard and generates a textual summary of the main anomalies, highlighting, for example, an area exceeding targets, a gradual increase in delivery costs, or a carrier consistently operating above average.
Decision-making remains the responsibility of the transportation manager, but AI significantly reduces the time required to identify the issues that deserve further investigation.
From Total Cost to Operational Decisions
The real value of the dashboard does not lie in simply showing how much has been spent, but in connecting costs to the factors that generated them.
Knowing that a specific area is too expensive makes it possible to consolidate delivery routes. Knowing that a carrier is operating above market levels makes it possible to renegotiate rates. Knowing that a customer places fragmented orders makes it possible to adjust cut-off times and service conditions.
In this way, transportation costs stop being just a number discovered at the end of the month and become a variable that can be monitored and controlled during day-to-day operations.