Who is the client?
What was the problem?
Semiconductors are vital to our client’s manufacturing process. But in the face of a global shortage, they needed a way to continually track semiconductor availability across their supply chain.
Which wasn’t easy. They were manually inputting much of their supplier data — 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.
What was the Expleo solution?
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.
We also helped automate the data quality process. Every data point is now automatically analysed to ensure it’s up to date and accurate. In addition, we built custom dashboards so our client can easily find and visualise specific supply chain activity.
How did that help?
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.
Moreover, our client’s 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.
What were the results ?
Thanks to a combination of smart data management and automation, delays in updating supply chain data have been reduced by 75%. And while it could previously take days for data quality issues to be spotted, they can now be identified instantly.
Could it work for me?
Yes. Everything we’ve 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 — and a prerequisite for introducing more complex technologies, such as AI.
Can you trust the data you’re looking at? It’s a crucial question to ask if you’re reliant on a complex supply chain. Because without a full, reliable, up-to-date picture of what’s happening, it’s nearly impossible to make accurate forecasts and plan for disruption.
Speak to an Expert
Get in touch
How Generative AI can proactively address issues to enhance customer satisfaction
Industry report: The digitalisation of everything
Don’t delay digital. To solve today’s challenges, industrial companies need a new set of skills.
How can industrial companies solve their biggest digital challenges? By applying the best ideas from everywhere
From pilot projects to scale: how industrial businesses can put the right technology to work.
