The purchase of transport, like any purchase, is based on technical knowledge of the market to which it is addressed.
For this reason, we assume that the reader is an actor in logistics or transport.
This method designed by MICROTRANS is intended for any transport buyer who wishes to implement a structured approach adapted to the characteristics of his company's transport.
The ambition of this method is to achieve a win / win negotiation.
On the one hand, there are companies that need to transport products at the best price in order to transform them and, on the other, companies that have means of transport that they want to hire with the best possible margin.
In France, all sectors combined, transport to customers represents around 2% of turnover. Depending on whether the products are poor and light (plasterboard) or heavy and expensive (perfume), this ratio is around 20% or 0.5%. In one case, the purchase of transport represents a real stake for the company and in the other, a secondary but essential operation. Most MICROTRANS customers are in the range of those spending 3-6%.
The TMS market can be broken down into 2 categories of software:
- Those intended for transport and logistics professionals
- Those intended for chargers
• Specialized in TMS software
• Included in ERP or SCE
To date, the solutions offered by ERP and SCE offer primary transport functionalities and their integrators have little expertise in transport issues. Their customers are starting to demand strong expertise in transport issues, which are very varied and which will represent increasingly important issues.
The vast majority of TMS experts are local actors who associate to varying degrees with these more general actors. Indeed, the latter improve their competitive position by extending their offer with a TMS function.
It is the TMS experts who will transfer their know-how to ERP and SCE integrators and editors via their common experiences with customers.
Following the file presenting the optimization of shipper routes, we were in the process of testing the 2 metaheuristics that we had developed for the optimization of chartering.
We continued these tests and then analyzed the results of the 2 metaheuristics. This comparison was made on the basis of real data from company X which is interested in our optimization. Indeed, company X has a problem for which it has not yet found a satisfactory solution. The actual data for Company X did not contain the constraints of Chapter IV and therefore was fine for us.
For these 2 metaheuristics the problem posed can be summarized as follows:
In a set of delivery points, it is necessary to find a “neighborhood algorithm” which allows them to be grouped according to the variables quantities to be delivered, distances from the starting point or journey time and delivery times.
MICROTRANS has been specialized for 30 years in software applications for shippers (customers of carriers). MICROTRANS is the only French company that limits its market to that of shippers in order to offer truly dedicated solutions to shippers who outsource their transport to more than 80%. As a result, the main association of shippers (www.autf.fr) which covers more than 60% of freight on departure from France has chosen MICROTRANS exclusively as an expert in transport optimization for shippers.
MICROTRANS customers cover very diverse sectors of activity with very varied transport issues. They are cited in the cover page of this file.
The market for software applications in road transport is segmented into two:
- Applications for chargers
- Applications for carriers
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