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Scandbio / Manufacturing

Infor M3 CloudSuite implementation at Scandbio

Customer

Scandbio

Customer since

2023

Area
Infor M3 CloudSuite

Intro

Infor M3 CloudSuite implementation and business process optimisation

To strengthen its competitiveness and optimise its processes, Scandbio decided to transition from Microsoft Dynamics AX to the Infor M3 CloudSuite business system. The goal was to meet critical business needs and improve productivity.

Case

Smooth ERP migration in a complex IT environment

The project's objectives were ambitious but necessary. Scandbio faced the challenge of simultaneously managing several large-scale projects, including the implementation of multiple new systems such as CRM, webshop, invoicing, and BI solutions. This required seamless coordination, prioritization of resources, and the use of agile methods to maintain full production during the transformation.

The project included:

  • Implementation of Scandbio's core processes in Infor M3 CloudSuite and integrations, such as purchasing, production, finance, inventory, sales, and logistics.
  • During the project, gaps were addressed that were identified during a feasibility study.

The main objectives of the project included:

  • Customization of Infor M3 CloudSuite to Scandbio's processes while maintaining cost-effective standardization.
  • Training of key users to ensure they became experts in the new system.
  • Establishment of a solid support and management organization for continuous improvement post-implementation.
  • Reduction of manual work and improved decision-making through access to accurate information and real-time data.

Agile project management and sprint-based learning

At Elvenite, we advocate for an agile approach, with clear sprint goals, process teams, and Kanban boards to manage tasks effectively. Each sprint lasted three weeks and ensured that Scandbio's key users learned the system through practical work early in the project. This approach facilitated collaboration and knowledge transfer between Elvenite and Scandbio.

Each sprint concluded with a Release Candidate, enabling iterative value delivery and quick adaptation to changing needs.

The project start exceeded expectations. We got underway a little earlier than planned and managed to keep costs below the original budget, so we see it as a very successful project.

Daniel Andoff, CEO, Scandbio

Integration of multiple systems and smart resource management

The project faced complex challenges, including the need for integrations with other systems, such as:

  • Medius for incoming invoices.
  • Logiq for outgoing e-invoices.
  • A new e-commerce solution.
  • An extensive CRM system update.
  • An advanced BI solution for reporting.
  • Integration with carriers' systems to streamline logistics processes.

A strong driving force in the project was the need to gather data in one place to ensure consistent and reliable information across all processes. By creating a centralized platform, duplicate work was reduced, and decision-making could be based on accurate and up-to-date information.

To manage these complex requirements, Scandbio early on used a project portfolio visualisation tool that helped the management team prioritise and reallocate resources. Some projects could be postponed to focus on critical tasks, optimising both time and budget.

Managing multiple systems simultaneously required proper planning and coordination among all stakeholders, along with a carefully planned cutover phase, which was crucial for a smooth transition from Dynamics AX to Infor M3 CloudSuite.

Controlled go-live in Infor M3 CloudSuite

The cutover phase - the critical transition where the old system is replaced by the new - was carefully planned in advance, ensuring a smooth transition to Infor M3 CloudSuite. The first day in CloudSuite, and the first go live week, can be summarized as one of the calmest and least stressful go live weeks we have experienced.

The go-live day was extremely calm. Sure, we encountered a few obstacles, and perhaps not all IT messages got through as we had planned, but our carriers managed to dispatch the orders they were supposed to deliver, and we were able to place orders for our customers, report on manufacturing, and then also receive our purchases. Overall, it was a very controlled go-live.

Indre Siultyte, Process developer, Scandbio

Learn more about the solution: Infor M3 CloudSuite

Achieved results and benefits

The project met its main objectives and delivered improvements in Scandbio's operations. The biggest gains have been increased efficiency, improved data quality, and reduced manual work. With a more structured system in place, Scandbio now has better control over its processes and can make more informed decisions based on real-time data.

  • Standardised working methods, which reduced variability and improved operational stability.
  • Better overall overview with improved structure and control over key processes.
  • Reduced manual work, which will free up time for more value-generating activities.
  • Improved data quality, which provided a more secure foundation for decision-making.
  • Automated workflows, which eliminated double work and reduced lead times.
  • Clearly defined roles, which will over time lead to a clearer distribution of responsibilities.
  • Optimised inventory management, with better stock balance and improved traceability.

Next steps - AI and machine learning for optimised planning

The ERP project and implementation of Infor M3 CloudSuite has been an important step forward for Scandbio. Through close collaboration and careful planning, Scandbio now has a business system that meets their unique needs. CloudSuite provides them with increased control over their processes, contributing to better opportunities for future development and efficiency in the market.

We have seen how important it is to work with flexible and adaptable solutions during such a comprehensive change as an ERP implementation entails. With Infor M3 CloudSuite in place, Scandbio has strengthened its operational processes and is well-equipped to face the challenges of the future.

When it comes to the future, we believe that we can leverage the fact that we have a lot of data in M3 in a well-organised and structured way, which enables the application of machine learning and AI models. We have conducted a first test to improve our sales forecasting by analysing historical data and identifying trends. The next step will be to investigate whether we can apply the same method to the inflow, that is, the purchasing flows of wood shavings, which is our raw material. All of this has been made possible thanks to having a system where all data is collected and well-organised.

Daniel Andoff, CEO, Scandbio

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