Hacobu introduces ‘MOVO Vista’ with AI suggestion feature

Hacobu Inc., which solves logistics issues with the power of data, has launched an AI-powered feature for its vehicle dispatch ordering and management service, MOVO Vista, which automatically suggests the destination and price of a vehicle to be dispatched. This feature searches for similar cases based on the company’s past dispatch records, and then uses AI to suggest the destination and price. Even inexperienced staff can now create high-quality dispatch requests in a short amount of time. This reduces the data entry burden on dispatch staff and eliminates the dependency on individual tasks.

This feature is available to companies using the MOVO Vista ordering plan.

Dispatch work is often done mainly through telephone and fax communication, making it difficult to keep records.

When creating a delivery request, determining which transport company to request and at what price requires comprehensive consideration of multiple conditions such as the destination and delivery address, vehicle size and cargo attributes, and distance and weight, which has traditionally required specialized knowledge and experience.

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In practice, decision-making know-how, such as “The theory is that requests from shipper A should be sent to transport company B,” accumulates in the minds of staff, but it is not easy to clearly document this know-how. As a result, it takes time for new staff to become able to make decisions independently, and standardization of work has become an issue. Furthermore, decision-making work is concentrated in specific staff members, creating a situation where it is difficult for those staff members to take vacation time.

Hacobu has developed a function that uses AI to suggest destinations and prices, utilizing the dispatch data that each company has accumulated in MOVO Vista. By also displaying similar cases that serve as the basis for the proposal, the company aims to create an environment where even inexperienced staff can confidently create high-quality requests in a short amount of time.

SOURCE: PRTimes