Transport and delivery management system TMS “Quent” (Quent)
SEOS Co., Ltd.
SEOS Co., Ltd.'s Response Status
This product is registered by SEOS Co., Ltd..
About This Product
■AI and IoT support to solve the shortage of trucks and drivers. TMS saves Japan's logistics
SEAOS' TMS "Quent" has its own delivery department and incorporates the know-how and cutting-edge technology gained from working on systems for a wide range of clients, from shippers to logistics subsidiaries. It has been chosen by companies that are suffering from a shortage of trucks and drivers and companies that cannot utilize TMS.
■Improvement examples
"Delivery not on time" Delivery delay crisis saved by collaborative play between AI and operators (major convenience store chain)
If things continue like this, we won't be able to deliver the product in time... SEAOS' TMS "Quent" changed this situation, which would normally be discovered only when the driver contacted us. Check the tracking of vehicles being delivered, loading rates, and traffic congestion big data information on the dashboard without leaving the center. The system predicts a delivery delay several hours in advance, hands over the package to a supporting truck midway through, and AI dynamically changes the delivery route to complete the delivery on schedule. At the same time, the operator calls other delivery destinations and apologizes for the change in delivery time due to the route change, and tells them exactly how far the truck is going and how many minutes it will take to arrive, thereby preventing complaints. I did.
Main features
■Effectively utilize limited trucks and drivers with high-speed, accurate dispatch management using AI
AI performs deep learning (machine learning) on vast amounts of data and can manage vehicle dispatch much faster than humans. By referring to road vehicle traffic information (big data) including general drivers that Google collects in real time, accurate schedules can be established without relying on knowledge or experience, improving truck turnover rates.
■Dynamic management that allows immediate response even in the event of trouble (dynamic routing)
If traffic jams or accidents occur along the route, the estimated arrival time will be automatically updated and displayed on the management screen. AI can re-route trucks that are likely to be delayed in delivery and nearby empty trucks, and send them to support.
■Higher accuracy with learning functions and analysis services
The system learns the daily operation results, and the more you continue to use it, the more accuracy and turnover rate will improve. There is no need to maintain a delivery destination master, which is common with conventional TMS. Similar delivery destinations can be inferred and automatically displayed as suggestions. In addition, SEAOS's analysis team analyzes operational results and provides consulting upon request.
■Customize to suit your needs with various IoT options
For example, by installing an optional 3D sensor on trucks, it is possible to grasp the availability of all truck beds in real time. Since you can centrally manage where and how much space is available, you can also support sharing, such as loading another package midway through delivery. In addition, it can be connected to various IoT sensors such as temperature sensors, drive recorders, vein sensors (to prevent falling asleep), and alcohol sensors.
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Product
Transport and delivery management system TMS “Quent” (Quent)
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