CASE STUDY
Now, we enforce structured coding practices that ensure data integrity from the outset.
We’ ve also developed user dashboards to give teams easier access to relevant reporting. When data is clean and visible, people use it more effectively.
This foundation is critical because it supports future initiatives such as inventory optimisation and automated replenishment.
Looking ahead, where do you see the next layer of optimisation?
From an operational standpoint, how has greater system visibility changed collaboration between sales and production?
We’ re continuing to build incrementally. Barcode scanning is a major next step for us, particularly in job completion and stock transactions. Instead of manual entries, scanning will close jobs and update inventory in real time. That may sound like
This is where the benefits become very tangible. We’ ve significantly refined our bills of operations and embedded more precise machine times into the system. Production scheduling is now built around structured timelines, including buffers for delivery. That means when an order is confirmed, we have much clearer visibility of when it should be completed.
Sales teams have access to dashboards that show job status in real time. As a result, production teams are no longer constantly being chased for updates. The information is visible.
That reduces internal friction. It also improves predictability. Even when urgent jobs come in, as they often do in our industry, adjustments are made within a structured schedule rather than through ad hoc communication. It creates operational harmony rather than tension.
Has this improved visibility influenced forecasting and financial planning?
Absolutely. When you have clearer insight into job completion timelines, you can better anticipate invoicing and revenue recognition. That supports both budgeting and forecasting.
We are looking to further strengthen this with additional financial planning capabilities in the future, but even at this stage, the increased operational precision feeds directly into financial accuracy.
ERP data should not sit in isolation. It should inform decision-making across the organisation.
Beyond individual modules, has the transition changed how you approach data management?
We’ ve placed much stronger discipline around part code creation and data structure. Previously, miscellaneous entries could create complexity over time. a small change, but those incremental efficiencies add up significantly across a production environment.
We’ re also exploring enhanced planning and optimisation capabilities. The advantage of being on a cloud platform is that we can scale and introduce new functionality in phases. It’ s not about doing everything at once. It’ s about layering improvements over time.
Ultimately, our goal is continuous refinement. Each enhancement makes the business slightly faster, slightly clearer and slightly more predictable. In manufacturing, those incremental gains compound. And often, that’ s where real competitive advantage lies. •
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INTELLIGENT CIO MIDDLE EAST www. intelligentcio. com