The company succeeded in reducing its workload by one-fourth through the introduction of “Dispatch-gashira”, an AI-powered dispatch management system specialized in the industrial industry.

【 Summary 】

Before the introduction of the service, sales office staff received collection requests from customers over the phone and handwrote the details on an A3 schedule. The dispatcher then spent about two hours every day after returning from the field to make a dispatch plan. Therefore, when collection requests overlapped during peak hours, the staff member in charge was often out of the office because he was also a driver, and he was unable to immediately determine whether or not he could accept the job, which delayed the response and led to a decline in service.
We tried to create a system that could manage orders in real-time and automatically plan vehicle dispatch, but we thought the hurdles to systemization were high, and that is when we came to know about “Dispatch-gashira”. The input screen and other features of the system are easy to understand, and the functions are specialized for industrial waste disposal operations, so we were very satisfied with the system.
After the introduction of the service, it took almost no time at all to create a vehicle dispatch plan. It only takes about 30 minutes to fine-tune routes and on-site work hours to reflect the opinions of on-site drivers, and overall the workload for vehicle dispatch management has been reduced to about 1/4 of what it used to be. In addition, since vehicle availability can be monitored in real-time, the company no longer has to wait to respond to customers, even during peak hours.