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Zebra AI for Manufacturing

Quality Assurance and Insights
From anywhere in your enterprise stack including production and process data, EAM, and ERP systems. Uncover customer insights from different sources such as CRM, and social monitoring software.
Improve Maintenance Productivity
By providing technicians with rapid access to troubleshooting guides, standard operating procedures, and process data.
Onboard New Operators Quickly
Onto complex equipment and processes by making deep domain and operational expertise accessible via conversational search and chat.
Manage Supply Chain Contracts
With improved visibility on terms and conditions, performance, order fulfilment status, and opportunities for negotiation.
Ensure Product Quality and Compliance
By staying informed on changes in regulatory standards, trade agreements, product quality trends, and customs procedures.

Today’s manufacturing companies manage diverse data sets, extensive volume of documents, and a growing number of software applications to support operational decision-making. Production, process, supply chain, and maintenance teams find it increasingly complex and time-consuming to navigate large volumes of data and locate relevant insights.

Turium Zebra AI for Manufacturing enhances operational decision-making with rapid access to information. Users can query, automate workflow, and optimize manufacturing processes in natural language and receive accurate insights from diverse data sources such as operating procedures, troubleshooting guides, maintenance logs, sensor historians, and ERPs.

Zebra AI for Manufacturing is an enterprise-ready solution with support for both structured and unstructured data, a fine-tuned LLM architecture, deterministic responses with source references, and granular enterprise access controls. Zebra for Manufacturing offers rapid configurability with manufacturing domain models and provides native connections to common operational systems and datastores.

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See what industry-leading Enterprise AI capabilities can do for you.