How large organisations are putting generative AI to work on their own data, from the team building AsscherAi. 487 articles.
Applying AI to customer service data helps managers make informed decisions by querying data in real time, but mistakes like automating unmapped processes or treating ticket history as...
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A logistics manager uses AsscherAi to investigate warehouse inventory discrepancies by querying the inventory management system and the enterprise resource planning system, then identifies...
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A category manager can use AsscherAi to compare supplier performance in real time, identifying areas where contracts can be renegotiated or consolidated to reduce costs and improve...
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A sales director can optimise their team's efforts by applying AI to answer questions about their own data, such as what products are most likely to be purchased together, or which...
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A production planner in a chemicals plant uses AsscherAi to investigate yield drift by querying the batch log and the maintenance schedule, then compares the results with the recipe and...
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Implementing AI for procurement in manufacturing enables teams to quickly answer questions about supplier contracts and terms, allowing a category manager to negotiate better prices and a...
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Applying AI to research and development requires careful process mapping, otherwise automation efforts will fail to deliver expected results, as seen in a project where undocumented testing...
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Automotive suppliers can improve data foundations by standardizing processes and validating data, enabling AsscherAi to provide accurate answers to questions about inventory levels...
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AI for procurement in logistics streamlines the process by providing real-time data on supplier performance, contract compliance, and spend, enabling category managers to make informed...
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Implementing AI in quality control requires careful planning, as automating a poorly understood process can lead to errors, and treating inspection records as complete can amplify existing...
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AsscherAi needs access to the purchase order table, inventory by location, and demand signal to function effectively in a supply chain deployment, and a logistics manager can use it to...
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AI for procurement in healthcare providers streamlines the process by enabling category managers to ask questions about spend, supplier contracts, and inventory levels, and get answers in...
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Implementing AI in production requires careful planning to avoid common mistakes, such as automating unmapped processes or treating AI output as complete, which can lead to inefficiencies...
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Customer service AI relies on the purchase order table, ticket history, and knowledge base to answer questions about order status and product information, a category manager maintains these...
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AI for procurement in FMCG streamlines the process by providing category managers with real-time data on supplier performance, price volatility, and inventory levels, enabling them to make...
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Procurement teams overlook data inconsistencies when applying AI, leading to flawed insights and poor decision-making, whereas a thorough data review, such as a category manager checking...
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AsscherAi needs specific data systems for sales, including historical sales data, order book, and inventory positions, to produce useful answers, and missing systems can lead to incomplete...
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Implementing AI for procurement in energy and utilities can streamline the process by providing quick answers to complex questions, such as which suppliers provide critical components or...
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Implementing AI in operations requires careful consideration of process mapping, data quality, and user access to avoid common mistakes and ensure effective insights, as seen in the example...
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A research and development engineer uses AsscherAi to analyze data from the test results and failure analyses database to identify potential weaknesses in a new product design, then informs...
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A category manager uses AI to analyze purchase orders, supplier contracts, and invoice history, enabling them to identify trends and patterns that inform decisions on product assortment and...
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Applying AI to maintenance requires careful consideration of existing processes and systems, as seen in the example of a shift supervisor using AI to automate scheduling of maintenance...
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AsscherAi requires complete data from inspection records, non-conformance reports, and batch genealogy to provide accurate answers about quality, and a missing system can lead to inaccurate...
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AI for procurement in automotive streamlines data analysis by integrating purchase orders, supplier contracts, and invoice history, enabling category managers to quickly compare prices and...
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