{"id":85360,"date":"2024-06-24T12:20:42","date_gmt":"2024-06-24T12:20:42","guid":{"rendered":"https:\/\/expleo.com\/global\/en\/?post_type=case-studies&p=85360"},"modified":"2025-03-24T14:45:55","modified_gmt":"2025-03-24T14:45:55","slug":"forecast-supply-chain-data","status":"publish","type":"case-studies","link":"https:\/\/expleo.com\/global\/en\/case-studies\/forecast-supply-chain-data\/","title":{"rendered":"Tracking and forecasting supply chain issues: how we helped a global manufacturer see the bigger picture.\u00a0\u00a0"},"content":{"rendered":"\t\t
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Who is the client? <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tA world-leading company that designs, develops, and manufactures electronics systems for the aerospace and defence sectors.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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What was the problem? <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Semiconductors are vital to our client\u2019s manufacturing process. But in the face of a global shortage, they needed a way to continually track semiconductor availability across their supply chain.<\/p>

Which wasn\u2019t easy. They were manually inputting much of their supplier data \u2014 in different systems and formats. This made it hard to analyse and update that data quickly (and accurately) enough to reflect the real-time status of their supply chain, severely hindering precise forecasting.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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What was the Expleo solution? <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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First, we introduced a new data integration process. This involved extracting raw supply chain data from disparate sources (like Excel docs), and then organising and consolidating it in one place. Doing this gave our client a foundation of quality data to inform decision-making.<\/p>

We also helped automate the data quality process. Every data point is now automatically analysed to ensure it\u2019s up to date and accurate. In addition, we built custom dashboards so our client can easily find and visualise specific supply chain activity.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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How did that help? <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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With a clear picture of their historic and current supply chain data, our client can predict potential disruptions and take action to minimise delays. Automation is also helping them identify data quality issues faster, leading to more accurate forecasting.<\/p>

Moreover, our client\u2019s teams have been relieved of painstaking data input. All the information they need is immediately available to them, so they can jump straight into analysis.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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What were the results ? <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Thanks to a combination of smart data management and automation, delays in updating supply chain data have been reduced by 75%<\/strong>. And while it could previously take days for data quality issues to be spotted, they can now be identified instantly<\/strong>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Could it work for me? <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Yes. Everything we\u2019ve described can benefit any industrial firm handling large volumes of data. In fact, high-quality data management is a crucial first step towards improving efficiency and decision-making \u2014 and a prerequisite for introducing more complex technologies, such as AI.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\tCan you trust the data you\u2019re looking at? It\u2019s a crucial question to ask if you\u2019re reliant on a complex supply chain. Because without a full, reliable, up-to-date picture of what\u2019s happening, it\u2019s nearly impossible to make accurate forecasts and plan for disruption.\t\t\t<\/p>\n\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t\t\t\t\tThomas Benoist, Head of Digital Sales, Expleo.<\/cite>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/blockquote>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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