How large organisations are putting generative AI to work on their own data, from the team building AsscherAi. 487 articles.
Agentic AI workflows in manufacturing streamline production by automating routine tasks and optimizing schedules, allowing a production planner to compare equipment performance and adjust...
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A category manager in a fast-moving consumer goods company can use AI for operations to compare supplier performance, track project status, and identify trends in demand, enabling them to...
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Evaluating AI in quality control requires tracking leading measures such as first pass yield and defects per unit, which provide early indications of the AI system's impact on quality...
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A supply chain manager uses AsscherAi to investigate lead time variance by asking what causes delays in the purchase order table, then adjusts inventory levels accordingly, reducing...
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Agentic AI workflows in logistics streamline carrier selection by analysing performance data and adapting to changing circumstances, allowing a logistics manager to ask which carrier is...
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By integrating with existing systems, AsscherAi helps operations teams in energy and utilities make informed decisions, such as a shift supervisor checking the current maintenance schedule...
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Generative AI optimises production by providing real-time insights into equipment performance, enabling proactive maintenance and reducing unplanned downtime, as seen when a shift...
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AsscherAi improves customer service by providing accurate answers to customer queries, using data from the purchase order table, ticket history, and knowledge base, enabling customer...
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Agentic AI workflows in healthcare providers streamline clinical operations by automating routine tasks and providing real-time data insights, enabling shift supervisors to optimise...
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A logistics manager can use AsscherAi to ask which orders are currently being held up in the warehouse, and why, then use this information to prioritize and resolve the issues, reducing...
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Measuring AI in procurement involves tracking leading indicators like spend under management and price variance to contract, which help evaluate the effectiveness of AI-powered systems, and...
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A production planner uses AsscherAi to investigate discrepancies between the enterprise resource planning system and the product lifecycle management system, identifying the root cause of...
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A sales team uses AsscherAi to investigate why their forecast is not accurate, by checking the purchase order table and inventory positions, to identify potential bottlenecks and take...
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Agentic AI workflows in FMCG assist category managers in optimizing production and distribution by analyzing sales data from systems like AsscherAi, adjusting production schedules, and...
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Generative AI streamlines chemical manufacturing by analyzing real-time data from various systems, enabling shift supervisors to adjust production schedules promptly and category managers...
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AsscherAi helps operations teams measure AI effectiveness by tracking leading metrics such as on-time delivery and exception rate, allowing them to identify areas for improvement and make...
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Integration of AI systems in printing and packaging reduces errors by reconciling definitions between systems, ensuring accurate data and efficient operations, for instance, a production...
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A research manager uses AsscherAi to query the purchase order table, but unclear field names in the database hinder the results, highlighting the need for clear documentation of the...
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Agentic AI workflows in energy and utilities improve outage planning by analysing sensor data and scheduling maintenance, reducing downtime and increasing overall efficiency, for example a...
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A shift supervisor checks the maintenance log and asks which production lines are currently running behind schedule, while a category manager compares two suppliers and asks which one is...
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Measuring AI in maintenance involves tracking leading metrics such as planned versus reactive ratio and mean time between failures to identify areas for improvement and inform data-driven...
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AsscherAi helps pharmaceutical companies integrate AI systems with their batch record systems, reducing change control overhead and deviation investigation time, by providing a platform to...
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A quality engineer uses AsscherAi to investigate a rise in defect rates, querying the purchase order table and production schedule to identify the root cause, then comparing supplier data...
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Agentic AI workflows in e-commerce and retail help the category manager make informed decisions by analysing sales data, inventory levels, and customer interactions, then suggesting optimal...
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