LEAFIO Rinkai TMS – Enhancing Transportation Management Efficiency with Advanced Analytics
The analytics dashboard tracks late visits, dwell time, vehicle loads, branch performance, and route overruns, with the example showing overruns of approximately 5%.
Plan-versus-actual reporting compares planned and actual mileage, sequence adherence, departure delays, and unvisited delivery points at depot, route, driver, and date level.
Service-quality analytics classify visits as on time, late, unvisited, or early and connect unloading time with delivery weight to help diagnose problematic customer locations.
Customer geography and cost analysis reveal expensive delivery points, while driver and branch ratings support KPI-based performance management and unplanned-stop monitoring.
let's analyze the analytics model this is an extremely powerful tool that allows you to optimize Logistics in general both quantitively and qualitatively on the main page we can see that the following reports are available as standard dashboard which displays those indicators that can be adapted specifically to the tasks and policies of your company also there are avable such reports as plan versus actual B vehicle quality of service geography of clients cost analysis rating of drivers rating of branches as well as stops out of plan let's look at each of the reports in detail standard dashboard has such charts as a percentage of late visits the time duration in BO which in this example is
positive this means that we need to figure out why that volum is so high if drivers could save time at delivery point it would be a huge resource for consolidating roads and getting additional savings also on the dashboard is a graph of overruns as we can see it was approximately 5% all graphs and charts can be expanded to full screen to see a detailed description of the indicators let's do it on the example of the vle load graph we see that with the same load it was possible to reduce cost by one kilogram of delivery over time also an important dashboard table is the branch score ranking but we will get acquainted with them a little later when we look at the
branch rating report let's see how the tracking works on actual roads let's go to the second analytical unit plan versus actual the first indicators are the total overruns for the selected period and the cost per 1 kilg of delivery we can display over runs in kilometers and as a percentage let's also expand this graph we can see the statistics both for a certain period of days and in detail for each day in terms of Planet kilometers and actual kilometers the sequence adherence can be tracked for absolutely every driver for convenience turning our graph into a spreadsheet that can can be downloaded for further analysis in Excel
format the table displays summary data by every deot there is a certain number of Roads also there is an actual mileage plan mileage percentage of overruns average sequence compliance average departure delay time division in points in hours number of unvisited delivery points and total delivery points that were rooted that is in fact a huge resource for savings if you are interested in a particular day Branch driver and so on we can filter the information through the search tools as well as through the top tabs let's pick the branch with the worse performance a January third date and a road driver as an example thus we have the opportunity to
get detailed information let's move on the quality of service Report with this reports we can see the distribution of the number of deliveries made normally and the number with violations first of all we can see the structure according to the timel of arrival the group green part is the arrival on time the yellow part is late the red part is not visited the blue part is an early visit by hovering over each color the analytic system gives us a transcript accordingly we can look at not only the Tim Lance indicator but also additional indicators of our customer service suppose we have such parameters as the average share of lateness the average unloading time and the average
weight of deliver this information can be obtained on a point specific basis for example let's select customer number three this point has been visited all the times during the selected period and there were no delays to it based on the dependence of way and average unloading time we can make conclusion whether to calculate for this point for unloading only by weight and dimensional characteristics or it needs additional time due to the Quee for unloading Goods on the ramp or there are other factors in order to work specifically with problematic points it's possible to filter by the status of the visit customer geography report it displays the location of customers whereas
Financial indicators for clients cost per kilogram by client we can estimate the cost effectiveness of delivering a particular Point let's put a filter on the actual cost per 1 kilg the most expensive Point by this indicator is the client number number 10 clicking on its column we fall into the location on the map the bottom chart helps us to see to which segment of delivery cost this customer belongs to having removed the filter for a particular client most of the points we have still belongs to the cost segment up to 13 but there are still cost points we can select this segment to see the name of these points as well as their geography on the
map to look at the financial site in more detail you need to go to the cost analysis report where you can view the C structure for each point if your company's employee motivation depends on a certain kpis then rating reports for both drivers and branches will help the scores can be assigned based on which indicators you need to calculate let's first look at the example of drivers choose a period of one month each driver had his own number of routes scores were awarded for such indicators as visit without delays compliance with the sequence on the route if there was an overrun or if the driver saved kilometers and also if he visited all the
points based on the key indicators the driver isak Freeman got the highest score of 96 and is in first place in the ranking in the branch racing report the logic of motivation is built in the same way problem eras are highlighted in red and it's possible to make a conclusion with which branch it's necessary to carry out additional work on optimization if a branch tries to falsify one indicator it will be visible on the basis of the other indicators which will be displayed in a verse direction also in the analytics it is possible to track if the driver head stops out of the route their duration and location the unplaned stops report will help us with this