1. Ensure real-time visibility

Reliable, constantly updated data is essential for quick, informed decisions. Real-time visibility helps anticipate replenishment needs, detect anomalies, and avoid errors from outdated information. It also forms the basis for effective production and logistics planning.

2. Automate logistics processes

Automating inventory operations reduces human errors and frees up time for high-value tasks. Technologies like barcodes, RFID, or mobile terminals enable accurate recording of stock movements. Coupled with a modern ERP, automation accelerates workflows and improves inventory accuracy.

3. Track key performance indicators (KPIs)

Monitoring relevant KPIs is essential to measure inventory management efficiency and guide optimization actions. Important indicators include:

• Stock turnover rate: measures product renewal speed and identifies slow-moving items
• Value of immobilized stock: tracks capital tied up in inventory and optimizes resource allocation
• Stockout rate: indicates how often a product is unavailable, directly affecting customer satisfaction
• Average replenishment time: assesses supplier responsiveness and the company’s ability to maintain a steady flow

4. Apply the ABC method

ABC segmentation classifies items into three categories based on economic and strategic importance. A-products require close monitoring and secure stock, B-products are managed in a standard way, and C-products, less critical, can have simplified controls. This approach focuses efforts where profitability impact is highest.

5. Conduct regular and cycle counts

Beyond annual inventories, cycle counts progressive verification by product category, ensure continuous accuracy without disrupting daily operations. They help detect discrepancies quickly, correct anomalies, and maintain reliable data for decision-making and flow optimization.

• Optimize your inventory management with Axelor ERP

For companies looking to enhance logistics performance, a powerful inventory management system is essential. Manual tools and spreadsheets quickly become insufficient for complex flows. Increasingly, organizations integrate inventory management into an ERP.

Axelor’s ERP allows companies to manage all logistics operations from a single platform. With a modular, integrated approach, it connects inventory management to other key business functions: purchasing, sales, production, logistics, and accounting.

This comprehensive view enables better control over goods flows, optimized replenishment, and improved operational efficiency.

• Why the traditional ERP model is reaching the end of its cycle

For decades, choosing an ERP meant adapting to the constraints of rigid software. Every specific requirement demanded heavy developments, creating critical dependency on software vendors or consulting firms.

Inertia in the face of change

The modern market does not wait. Between evolving regulations, new customer expectations, and fluctuating supply chains, the market now evolves far faster than the update cycles of rigid software.

When a company must wait six months, or even a year, for a new validation workflow or a specific business rule to be integrated into its system, it is not only facing a technical delay: it is losing a critical competitive advantage. This latency creates a gap between the strategy decided at management level and the operational reality of the tool.

In this scenario, traditional ERP no longer fulfills its role as an enabler; it becomes a barrier to innovation and a bottleneck for growth. Instead of being the engine that propels the company toward new opportunities, it acts as an anchor that locks teams into outdated processes. To remain competitive, the ability to adapt your information system in “real time” is no longer a luxury,it is a vital necessity.

Step 1: Properly prepare your ERP project

Preparation determines 80% of your project’s success. This initial phase lays the groundwork for transformation.

Key actions:

1. Build a cross-functional project team involving finance, production, HR, sales, and IT
2. Define clear business objectives: expected performance gains, cost reductions, and lead-time improvements
3. Map existing processes to identify strengths and weaknesses
4. Gather business requirements through workshops with each department
5. Create a realistic roadmap with clear milestones, resources, and constraints

This step ensures a shared vision and prevents costly deviations.

Step 2: Select the right ERP vendor

Choosing an ERP vendor commits you for years, do not rush.

Essential selection criteria:

Your ideal vendor offers a flexible ERP that adapts to your business (not the other way around), a scalable solution, strong customization capabilities without prohibitive costs, and solid methodological support throughout the project.

Prioritize solutions that provide:

• Source code transparency to avoid vendor lock-in
• Modular architecture to activate only what you need
• High adaptability to business-specific requirements
• Low Code/No Code BPM approach for rapid changes without heavy development

Step 3: Analyze and customize your ERP

Core principle: adapt the ERP to your processes, do not force your teams to adapt to rigid standard software.

Methodology:

1. Map end-to-end business flows to understand information circulation
2. Identify priority automations by targeting repetitive, time-consuming tasks
3. Configure modules through parameter settings rather than heavy development
4. Customize interfaces and workflows to match real business practices

Using a BPM (Business Process Management) engine enables business-driven, fast, and scalable implementation through visual process modeling.

Step 4: Securely migrate your data

Data migration is a critical and often underestimated phase.

Successful migration steps:

• Extraction from existing systems (Excel, legacy software, databases)
• Cleansing and validation: fix errors, remove duplicates, standardize formats
• Integration into the appropriate ERP modules
• Consistency testing to ensure data integrity and completeness

Warning: a rushed migration can compromise the entire project for months.

Step 5: Test and validate before deployment

Before go-live, extensive testing is mandatory.

Complete testing program:

• Functional testing of each module
• Performance testing under real usage conditions
• Security testing to protect sensitive data
• User acceptance testing with business teams

This phase dramatically reduces production risks.

Step 6: Train users effectively

Without user adoption, even the best ERP fails. Training is a strategic investment.

Effective training program:

• Role-based training (end users, administrators, managers)
• Diverse learning materials: guides, videos, FAQs, cheat sheets
• Change management: communicate benefits and rely on internal champions

Tip: an intuitive, modern ERP interface significantly reduces training needs.

Step 7: Choose your deployment strategy

Two approaches are available:

Option 1: Phased deployment (recommended for most SMEs)

Module-by-module or site-by-site rollout

Advantages:

• Lower risk
• Progressive learning
• Less stress for teams

Constraints:

• Longer overall duration
• Temporary coexistence of systems

Option 2: Big Bang deployment

Full switch at a fixed date

Advantages:

• Speed and immediate consistency
• No dual systems

Constraints:

• Higher risk
• Requires flawless preparation

Step 8: Ensure post-deployment monitoring

The project does not end at go-live.

Post-launch priorities:

• KPI monitoring (processing time, adoption rate, error rate)
• Responsive user support
• Functional adjustments based on feedback
• Regular system updates

A flexible ERP ensures long-term sustainability.

Step 9: Measure ROI and continuously optimize

Key performance indicators:

• Reduced processing times
• Lower data entry error rates
• Productivity gains per department
• Improved customer satisfaction
• Faster decision-making cycles

These insights drive continuous optimization.

Step 10: Prepare for evolution and scalability

Your ERP must support long-term growth.

Key scalability factors:

• Adding new modules
• Integrating emerging technologies (AI, IoT, advanced analytics)
• Regulatory compliance updates
• Geographic expansion

Anticipating scalability avoids costly future migrations.

A single, unified platform to manage your entire organization.

• What is Project-Based Management? Definition and principles

Project-based management involves managing each project, contract, or client order as an independent economic unit. Each “job” encompasses all operational and financial flows that directly affect its profitability: sales, purchasing, labor hours, internal costs, invoicing, collections, and budget tracking.

Unlike traditional accounting or analytical approaches, project-based management allows real-time operational and financial monitoring from pre-sales and cost estimation to final project closure and post-mortem analysis. This approach provides a 360° view of each project, enabling rapid identification of optimization opportunities and potential risks.

This is why we integrated numerous automatic validations that systematically run on generated code. These safeguards form a multi-layered safety net that catches potential issues before they even reach the developer.

The first validation layer checks XML structure against the official Axelor schema (XSD). All configuration files must comply with a strict schema defining allowed elements, hierarchy, and attributes. The system ensures that generated XML is not only well-formed but fully compliant with Axelor standards, guaranteeing correct interpretation by the platform.

Naming conventions are also strictly enforced. Generated code follows PascalCase for classes, camelCase for methods and variables, and snake_case where appropriate. These conventions are not merely aesthetic choices; they significantly improve code readability, maintainability, and team-wide understanding.

Semantic validation goes further by checking the consistency of entity relationships, the relevance of created indexes, and the logic of defined attributes. The system verifies, for example, that bidirectional relationships are properly declared on both sides, that composite indexes reference existing fields, and that attributes use data types consistent with their intended usage.

Java style receives particular attention. Code must follow Axelor conventions, avoid the use of emojis in source files, and be written in English. Using English consistently, even for projects targeting francophone markets, improves interoperability and facilitates collaboration with international developers.

Finally, generated commits follow the Conventional Commits standard, a widely adopted approach that structures commit messages, simplifies changelog generation, and improves project history readability.