AI-Driven Smart Search to Improve Plant Performance

Next-Gen Solutions AI-Driven Smart Search to Improve Plant Performance

15.11.2022 Source: Press release eschbach

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eschbach has introduced AI into its enterprise platform – Shiftconnector by adding AI search engine capabilities to it. This change is expected to empower process manufacturers with a new level of intelligence.

eschbach launches Shiftconnector’s AI-driven smart search to improve plant performance.
(Source: eschbach)

Global software developer eschbach, the provider of Shiftconnector digital manufacturing software for process manufacturing, announces that Artificial Intelligence (AI) is now an integral component of its enterprise platform. Now with AI search engine capabilities, Shiftconnector will bring a new level of intelligence to the plant floor.

With the addition of AI’s smart search capabilities to the Shiftconnector platform, teams will now be able to improve plant performance by quickly finding solutions based on the history of documented tribal knowledge from plant operations teams. By retrieving the most relevant information, it will accelerate operations and bring capabilities to help teams recover from disruptions by immediately identifying appropriate fixes, states the company. Also, captured knowledge can be managed to support workforce changes.

For process manufacturers, Shiftconnector has long served as a foundation for collaboration among shift teams and plant management to increase production efficiencies and transparent communications. The addition of AI capabilities in the software platform provides a smart search with a new level of intelligence that can easily be adaptable depending on the specific needs of the organization, adds the firm.

Large amounts of data flow through a plant operation and it can be costly to the overall operations when similar processes occur regularly, and downtimes occur to find solutions. As different teams need to develop unified responses, act on unexpected events, and maintain a cohesive workflow throughout multiple shifts, natural language processing is essential, concludes the company.

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