AI RELAY that supports knowledge sharing in manufacturing sites.
Important points to convey to another person in charge, into the field knowledge.
Are the points of caution found on the manufacturing site only known to that team or individual? When promoting multi-skilled workers and role changes, we will share the knowledge gained from consultations so that other workers can also confirm the applicable conditions. RELAY organizes the points of confusion, explained cautions, and confirmed conditions from the daily chats between workers and team leaders using AI. It accumulates the knowledge verified by people as on-site knowledge and utilizes it for consultations and training when the tasks being handled change. The shared information can be checked and used by the responsible person to see if it applies to the current task. [Check the usage image in the catalog] Download the related catalog "RELAY Manufacturing Industry Use Case Collection_Manufacturing" to see the usage image of RELAY.
basic information
Information handled in knowledge sharing The target is the chat exchanged between workers and team leaders about daily tasks. AI organizes points of confusion during work, explained precautions, and confirmed conditions. The responsible person checks the original statements, context, and conditions at the time, and accumulates and shares this knowledge for future consultations and business decisions.
Price range
Delivery Time
Model number/Brand name
RELAY
Applications/Examples of results
【Utilization Image: Knowledge Sharing】 A scene where a supporting worker consults the team leader about how to install jigs that differ by part number. Important points to note and conditions for each part number are documented. When support comes from another team, the same points of caution can be confirmed along with the current procedures, allowing for shared materials for explanations and training aimed at multi-skilled workers. This also serves as material for consulting on unfamiliar tasks.
