Let’s imagine that a company needs to distribute goods to 100 addresses with two main tasks: to reach all customers on time and to do this at minimal cost. At the moment, these tasks are solved manually by a logistician based on his experience and random systems without the possibility of reducing the final delivery costs. In order to reduce costs using this method of work, the logistician needs to keep many factors and route combinations in mind. We can conclude that the manual solution entails higher shipping costs than they otherwise would have. To draw up a more correct and competent route, you need to take into account many factors: carrying capacity, volume, price per kilometer and minutes of downtime of each vehicle, the height of its unloading side, turning radius, the presence and capabilities of a refrigerator, weight, type and volume of each cargo, compatibility of cargo, priority of each client, time intervals (in which, according to the contract, you are obliged to deliver the goods to this point), supplier warehouses and much more. It is necessary to build routes in such a way that cars travel a minimum number of kilometers, all goods are delivered to points on time, the load of each car is close to 100%, a minimum number of vehicles and drivers are used, and at the same time a minimum amount of money is spent by everyone. It is extremely difficult to take into account all this information and manually build the correct route and save money.
The LOGIMUS system solves such problems using the artificial intelligence we developed, which keeps in its memory all the most important factors in order to find solutions for your company that will reduce the cost of delivering goods to a minimum every day. Practice has shown that even in large companies that previously used delivery automation tools, when implementing our LOGIMUS system, about 25% of transport ceased to be used.