Mitsubishi Logisnext
Runs on Opero
- AI Chat
- Knowledge autocapture
- Document processing
Turn shift notes and operational messages into structured records, make recurring faults visible, and keep a reviewable history of what happened.
A shift handover may live in a message thread. A repeated machine fault may be remembered by one engineer. A supplier’s explanation may arrive weeks later by email.
The information exists, but it is difficult to connect. Managers discover recurring problems after another failure, and employees spend time rebuilding the history for audits or investigations.
Opero turns everyday reports, messages, documents, and system records into information the team can search and review.
An operator can describe the shift by voice or text. Opero can structure the report with the site, line, equipment, fault code, action taken, unresolved issue, and person responsible for the follow-up.
The next shift receives a consistent record rather than several incomplete messages. Missing information can be requested before the handover is closed.
Opero can connect reports that refer to the same machine, fault, or process. When the same problem appears repeatedly, it can notify the maintenance or operations team and attach the previous occurrences.
This does not replace production or maintenance systems. It helps the team see the explanation and actions around the numbers those systems already record.
Managers can search maintenance bulletins, supplier notes, operating procedures, handovers, and previous cases together.
For example, an auditor asking what happened on a particular shift can receive the structured handover, the source messages, the actions completed, and the people who approved them. The answer comes from recorded events rather than memory.
Opero can create a maintenance case, request missing details, notify the next shift, or prepare a report. You choose which steps run automatically and which require a named person to approve them.
Every action and approval is recorded, making it clear who decided what and when.
Useful views include:
Production output and downtime should continue to come from the systems that measure them. Opero adds the context needed to understand and address the causes.
Faster answers without losing the human handover
View use caseBusiness outcomes, controlled risk, and measurable adoption
View use caseAnswers, service history, and parts at the machine
View use caseFaster supplier responses with controlled pricing and approval
View use caseFaster technical answers, quotes, and bid preparation
View use caseFewer avoidable escalations and faster technician support
View use case
Runs on Opero
Runs on Opero
Runs on Opero
Runs on Opero
“It genuinely works. When I chat with it, I get the knowledge I need — instead of calling the office and asking a hydraulic engineer. When it comes to solving a specific problem…”
Runs on Opero
“A technician with limited product knowledge found the right solution through the Opero AI agent and resolved the issue without interrupting a colleague who was out with customers…”
Runs on Opero
Runs on Opero
Runs on Opero
“It is a true pleasure collaborating with Opero, who deliver AI solutions of the absolute highest quality. Their deep technical expertise combined with a fantastic understanding of…”
Runs on Opero
Runs on Opero
Runs on Opero
Bring one fault that keeps coming back. We run it through Opero with you.