Supply Chain: Moving Beyond Excel Without Changing Your ERP

Rigid ERP systems + the ubiquitous Excel: the real issue isn’t about replacing them, but about structuring them more effectively.

Excel brings agility… but also creates a parallel supply chain that is unreliable and difficult to scale.

👉 The solution?
Convert critical files into connected apps, automate workflows and organise the data.

AI doesn’t bring about transformation. It accelerates it.

💡 Performance comes from a gradual approach, not a sudden, dramatic change.

And at your company, is Excel still used to manage key processes?

Rigid ERP systems, Excel everywhere: what if the real transformation of the supply chain didn’t require a new system?

By 2026, the majority of companies are still operating with powerful but inflexible ERP systems, alongside a multitude of Excel files that have become indispensable for day-to-day management.
This situation is not a result of technological backwardness. It highlights a structural tension between system standardisation and operational complexity. In this context, the digitalisation of the supply chain can no longer be limited to a change of tools: it must rethink the way teams work, automate processes and utilise data.

A structural reliance on Excel: a sign of operational misalignment

ERP remains the transactional backbone of the supply chain. It organises logistics flows, centralises orders, consolidates stock levels and ensures the secure management of operations. However, in practice, it does not cover all business requirements.

Supply chain managers, planners and S&OP teams then create their own spreadsheets to refine forecasts, simulate scenarios, consolidate data across multiple sites or manage exceptions. Excel becomes a tool for agility in the face of inflexible systems.

The problem isn’t the use of Excel in itself. The problem is the way it’s used.

Over time, these files become critical:
they shape planning, influence stock optimisation and guide operational priorities. Yet they remain:

difficult to trace
reliant on one or two key individuals
difficult to maintain
not integrated into the overall workflows

This phenomenon creates a parallel supply chain that is invisible to IT, vulnerable to staff turnover, and poorly suited to a sustainable digitalisation strategy.

The illusion of the Great Replacement: why switching ERP systems doesn’t solve everything

Faced with this complexity, the temptation is strong to launch a major transformation programme and migrate to an ERP system billed as “AI-ready”.

However, the evidence is clear. ERP projects are lengthy, costly and require a considerable amount of effort. They demand extensive process standardisation, often at the expense of local operational flexibility.

Furthermore, the integration of AI into ERP systems enhances certain modules — such as forecasting and anomaly detection — but it does not eliminate business-specific requirements or the day-to-day adjustments that are necessary.

Digitalisation is not about replacing one system with another. It is about reducing friction between data, tools and users.

In other words: technology alone does not transform the supply chain.
It is the way it is used that transforms it.

Replacing Excel files with business applications: a phased and structured approach

Between stagnation and radical transformation, a third way is gradually emerging in mature organisations.

Rather than replacing the ERP system, the aim is to complement it effectively. In practical terms, this means transforming critical Excel files into connected applications, built using no-code or low-code platforms.

This approach enables:

to integrate data in real time
to standardise workflows
to improve traceability
to automate repetitive tasks
to ensure data governance

Let’s take the example of a forecasting manager who consolidates data from several departments on a weekly basis. Their Excel file is gradually becoming a strategic tool. By transforming it into an application connected to the ERP system or a data warehouse, it is possible to automate the consolidation process, maintain a record of decisions, integrate AI models to refine forecasts, and secure the entire process.

The aim is not to remove operational autonomy.

The aim is to organise it.

This method promotes digitalisation

AI as a tool for optimisation, not as a miracle solution

AI is now delivering tangible benefits in the supply chain: improved forecast accuracy, proactive detection of stock-outs, predictive analysis of logistics flows, and recommendations for optimising stock levels.

However, its effectiveness depends heavily on the quality of the data and the way the processes are structured.

Introducing AI into a disorganised environment is tantamount to exacerbating the chaos.

On the other hand, when integrated into structured workflows and interconnected applications, it becomes a real driver of optimisation:

reduction in manual tasks
better forecasting of fluctuations in demand
improved operational flexibility
contributing to sustainable logistics through improved stock level management

AI does not replace strategy.
It enhances the performance of a system that is already well-managed.

Building a more flexible supply chain without waiting for the “perfect project”

Waiting for a comprehensive transformation before taking action is often a strategic mistake. The most successful organisations adopt a mindset of continuous improvement.

They identify the main pain points:
a proliferation of files, a lack of traceability, manual workflows, and reliance on certain key personnel. They then roll out targeted solutions that integrate with existing systems.

This approach enables:

to rapidly improve operational management
to secure logistics flows
to build resilience in the face of crises
to improve real-time visibility

Flexibility does not come from a single tool.
It stems from a modular, scalable and interconnected architecture.

Modernising the supply chain is not a matter of choosing between maintaining the status quo and a complete overhaul.

It hinges on a more strategic question:
where can value be created right now?

Reducing reliance on critical Excel files, automating workflows, improving traceability and integrating AI in a targeted manner: these concrete steps bring about lasting improvements in performance.

True innovation isn’t always spectacular.
It is often incremental, pragmatic and results-oriented.

FAQ

Why does Excel remain the dominant tool in supply chain management?

Because it offers immediate flexibility in the face of ERP limitations. However, its widespread use undermines data traceability and governance.

Is it necessary to change your ERP system to ensure a successful digital transformation?

No. A phased strategy based on connected applications and automation can deliver quick wins without the need for a major migration.

How does AI actually improve the supply chain?

It optimises forecasts, detects anomalies, improves inventory management and supports decision-making through predictive analytics.

Where to start?

Identify critical manual processes and key Excel files. These

Monstock helps you turn your stock into a genuine strategic asset. Thanks to agile and intelligent management, our solution enables you to anticipate risks, secure your supplies and ensure business continuity, even in times of uncertainty.

To find out more about strategic inventory management and discover other use cases, click here.

For further information, please contact the Monstock team.