AI-powered insights and knowledge management for chemical manufacturing.
Chemical manufacturers generate vast amounts of data, but critical insights often remain buried in shift logs, maintenance records and process data. SAMI helps operators quickly find the right information, surfacing hidden knowledge from disparate data sources to accelerate root cause analysis and problem-solving, improve decision-making, and drive continuous improvement.
AI captures institutional knowledge in chemical plants, ensuring critical insights remain accessible even as experienced workers retire or shift roles.
Shiftconnector® leverages AI to organize, analyze, and surface critical information for chemical manufacturers, helping teams optimize operations, prevent issues, and make smarter decisions faster.
Machine Learning & NLP Integration:
AI understands context, technical jargon, and patterns in structured and unstructured data to deliver precise, relevant results.
AI-powered search instantly finds relevant data across shift logs, maintenance records, and process reports.
AI analyzes past incidents to suggest solutions, reducing troubleshooting time and preventing recurring issues.
SAMI Chat offers a conversational interface for exploring data, enabling follow-ups, detailed insights, and real-time, data-driven suggestions for continuous improvement.
Want to learn more how AI is transforming the chemical industry? Download our guide below or book a demo.
Jens Tuexen
Integration & Project Manager
Jens Tuexen, Integration & Project Manager at dsm-firmenich presented a case study on how to drive manufacturing excellence by using standardized data from the PI System and the AI-powered Smart Search functionality from Shiftconnector®.
dsm-firmenich enhanced manufacturing efficiency by integrating standardized AVEVA PI Server data with Shiftconnector®, creating a unified Operations Data Layer supporting 3,500 users globally. This integration facilitated real-time data contextualization and performance tracking, significantly improving Overall Equipment Effectiveness (OEE) across various processes. The AI-powered Smart Search within Shiftconnector® further streamlined troubleshooting, root cause analysis, and onboarding, preserving operational knowledge and promoting continuous improvement.
The original content could be found at AVEVA online.
AI quickly analyzes historical data from plant software and process data, digital shift logs, maintenance records, and other sources, identifying patterns and suggesting solutions. This reduces troubleshooting time, prevents recurring issues, and enhances decision-making for operators and engineers.
Yes. Using machine learning (ML) and natural language processing (NLP), Shiftconnector® recognizes technical terminology, abbreviations, and context, ensuring operators receive relevant, precise search results and recommendations. The AI tools can be specifically trained for an industry, company or specific location to improve accuracy.
AI captures and organizes insights from experienced workers, shift notes, and past incidents, preserving valuable operational knowledge and ensuring it remains accessible for future teams.