Today we take you behind the scenes of data processing to discover our new analytics module.
The data's journey is original: starting in the industrial world of trailers, wagons and containers, the data ends its journey on stage, in the role of logistical information.
But before they put on that suit, they have to get ready for backstage. Like actors, geolocation, shock, temperature or fill data need a little makeover before they are relevant, reliable and credible in this role.
Real time, historical and logistics reporting
The Everysens platform carries out this makeover. Each asset - wagon, trailer, skip, container or handling support - has its own history for us, and it is with this in mind that we process the data.
Every mobile asset has two levels of story to tell.
The real-time history of logistics assets: managing day-to-day operations
On a day-to-day basis, different chapters make up the day's events for the working people, whether it is time spent in port, in the workshop or loading.
The real time is written progressively on our logistics visibility platform GPS points: GPS points are instantly transformed into information that can be acted upon by your company's flow drivers, supply chain managers and logistics coordinators.
The collective history of the fleet: optimising the transport plan
In the longer term, a second, collective story is being woven. The comings and goings of trailers, trestles, pallets, containers or wagons, draw the flows and behavioural trends of the fleet.
This story involves extensive data processing, including Big Data. To make it accessible to you, we have developed our analytics module into a data visualization module. The aim is to enable you to easily explore your logistics data at a strategic level. Read this article to understand what dataviz is].
On our logistics visibility platform, you can easily switch from macro indicators to finer statistics, and thus implement corrective actions.
Data visualisation in action: how to maximise rotations?
How to take advantage of dataviz in logistics? Let's take an example. You are starting to work on maximizing your fleet's rotations.
The first step is for you to consult the volume of round trips. This gives you an overall indication of your activity, but does not allow you to take any action.
You decide to dig deeper, and refine your understanding with a visualization of rotation data by flow. The thicker the line, the greater the number of rotations on that path. The redder the color, the longer the rotation. So you choose to focus on a thick, red flow so that your actions have a visible impact.
On this flow, how do your wagons, your trailers, your specific packaging behave? This is what you will discover thanks to the utilisation rate, and the possible zoom on unproductive times. For example, by clicking on the station parking time, the average time per station is displayed. You can then take action with the "bad students" to optimize your turnover rate.
There you go! In just a few clicks, thanks to the data visualization, you have gone from a global analysis of rotations to a concrete corrective measure.
You can also explore on this module other analysis paths, focused on the filling, use and punctuality of deliveries.