How large organisations are putting generative AI to work on their own data, from the team building AsscherAi. 487 articles.
Implementing AI for maintenance in printing and packaging helps teams identify potential issues before they cause downtime, by analyzing data on machine performance, spare parts inventory...
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Measuring AI in executive leadership involves tracking leading measures like decision latency and data-driven insights, as seen when a category manager uses AsscherAi to analyse sales data...
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A maintenance planner uses AsscherAi to investigate equipment failures by querying the computerised maintenance management system and production plan in the enterprise resource planning...
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AsscherAi helps production managers optimize schedules by analyzing data from the production database, maintenance history, and quality records, enabling them to identify patterns and...
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Agentic AI workflows in chemicals optimize process conditions by adjusting variables like temperature and pressure, allowing a shift supervisor to compare yields and product quality across...
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Generative AI streamlines maintenance in pharmaceuticals by analysing equipment performance and spare parts inventory, enabling shift supervisors to investigate issues promptly, rather than...
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Evaluating AI in human resources requires tracking leading measures such as repeat question volume and time to answer, which provide insights into the system's performance and employee...
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A production team uses AsscherAi to investigate the cause of a stoppage on a line, querying the manufacturing execution system and enterprise resource planning system to identify the root...
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Procurement data management involves integrating purchase orders, supplier contracts, and invoice history to provide a clear picture of organisational spend, enabling category managers to...
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Agentic AI workflows in automotive streamline supplier escalations by automating multi-step actions, such as analyzing supply chain data, identifying potential bottlenecks, and proposing...
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Generative AI streamlines maintenance in metals and mining by analysing work orders, asset history, and spare parts inventory, enabling teams to identify patterns and trends, and make...
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Measuring AI in finance requires a combination of leading and lagging measures, such as variance to budget and commitment coverage, to accurately evaluate the impact of AI initiatives on...
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AsscherAi integrates with the transport management system to track shipments, handling carrier performance variance and exception handling at scale, providing accurate information to...
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AsscherAi helps operations teams identify anomalies by analyzing process and exception records, project status, and budget consumption, enabling them to take corrective actions, such as a...
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Agentic AI workflows for supply chain management automate tasks by maintaining state and working towards goals, freeing staff to focus on higher-level tasks, and reducing the risk of human...
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Logistics maintenance teams use AsscherAi to investigate equipment failures by querying data on asset history, work orders, and spare parts inventory, allowing them to identify patterns and...
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Implementing AI in the supply chain requires a thorough readiness checklist to ensure connected data, clear definitions, and proper permissions, as a category manager comparing suppliers...
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AsscherAi integration helps healthcare providers optimise theatre utilisation by providing real-time insights into surgeon schedules, patient lists, and staff availability, enabling...
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Standardising asset descriptions in the maintenance log and spare parts inventory enables a maintenance manager to query the organisation's data and get accurate results, reducing the risk...
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AI cost optimisation in textiles and apparel streamlines production by identifying areas where costs can be reduced, such as supplier fragmentation and markdown exposure, allowing companies...
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Agentic AI workflows for customer service streamline issue resolution by integrating data from various systems, such as ticket history and product records, allowing customer service...
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Enterprise AI adoption in textiles and apparel improves range planning by analysing sales trends and supplier performance, enabling merchandising managers to make informed decisions and...
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AI for maintenance in energy and utilities streamlines operations by providing real-time answers to critical questions, such as which assets are due for maintenance, or which spare parts...
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Implementing AI in customer service requires a readiness checklist to ensure connected data, agreed-upon definitions, and decided permissions, allowing a shift supervisor to check the...
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