How large organisations are putting generative AI to work on their own data, from the team building AsscherAi. 487 articles.
Integrating AI systems in FMCG requires reconciling definitions between systems, such as the sales database and inventory management system, to ensure accurate and consistent data, and...
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A chief operating officer uses AsscherAi to investigate a discrepancy in sales figures, checking the purchase order table and the general ledger to identify the source of the error, then...
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AI cost optimisation in printing and packaging helps a production manager identify areas to reduce total cost, including setup and makeready losses, by analysing the production log and...
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Agentic AI workflows for sales enable a sales manager to analyze customer demand and inventory levels, making informed decisions about stock allocation, and automating complex...
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Enterprise AI adoption in printing and packaging streamlines production planning by analysing job schedules, setup costs, and material usage, enabling production managers to optimise...
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A maintenance team in a chemicals plant can use AI to investigate signals preceding a stoppage, allowing them to ask what deviated this shift, on which line, and how it compares with...
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Implementing a sales AI checklist ensures connected data, agreed definitions, and decided permissions, enabling the system to provide reliable answers to sales questions, such as a sales...
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AsscherAi integration helps energy and utilities companies avoid regulatory issues by ensuring the maintenance log and outage planning system are properly connected, allowing a shift...
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A data foundation for human resources enables organisations to answer questions about staff turnover by providing a clear understanding of employee data, including policy library, headcount...
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AI cost optimisation in pharmaceuticals streamlines production by identifying inefficiencies in validated processes and strict documentation rules, allowing a quality control manager to...
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Agentic AI workflows for research and development streamline project management by identifying potential roadblocks and providing recommendations for mitigation, enabling organizations to...
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Enterprise AI adoption in pharmaceuticals requires careful planning to overcome regulatory hurdles and build trust among employees, by integrating new systems into existing workflows and...
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AI for maintenance in automotive streamlines production by providing real-time insights, enabling shift supervisors to query equipment status, and allowing category managers to track spare...
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Implementing AI in research and development requires careful preparation, including connecting relevant data sources, agreeing on definitions in writing, and deciding on permissions, to...
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Integrating AI systems with e-commerce and retail systems requires careful planning to reconcile differing definitions between systems, such as the definition of a customer or product, to...
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Financial data analysis relies on accurate field-level meaning, clear documentation of column names, and integration of all relevant data sources, including the general ledger, budget, and...
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AI cost optimisation in metals and mining streamlines production by analysing grade variability, maintenance backlog, and energy intensity, enabling organisations to make informed decisions...
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Agentic AI workflows for quality streamline defect tracking by integrating inspection records and non-conformance reports, enabling a quality engineer to quickly identify root causes and...
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Enterprise AI adoption in metals and mining improves production planning by analyzing grade variability, maintenance backlog, and energy intensity, enabling shift supervisors to make...
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AI for executive leadership in logistics helps teams query and analyze data in real-time, enabling informed decisions on carrier choices and delivery schedules, by providing a platform to...
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A quality manager uses AsscherAi to identify trends in production data, by asking what factors contribute to high defect rates, and how they compare to industry standards, then adjusts...
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Chemicals manufacturers use AsscherAi to investigate discrepancies in production yields by querying their own data in natural language, such as asking what caused a yield drift on a...
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Getting started with enterprise data readiness for AI involves choosing a first case with a known answer, such as the total value of orders placed with a specific supplier, to validate the...
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AI cost optimisation in manufacturing streamlines production by identifying inefficiencies in workflows, allowing a production manager to compare costs across multiple facilities and...
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