BMSvision transforms real-time data into smart, sustainable manufacturing
Half a century ago, a small team in Flanders, Belgium, began experimenting with production monitoring for local textile mills. What started as Sycotex under the Barco Group has since evolved into BMSvision, a global leader in MES (Manufacturing Execution System) solutions. Over the decades, the company has grown alongside the textile industry’s digital transformation, turning real-time data into smarter decisions and greater resilience for mills worldwide.
Now, as BMSvision celebrates 50 years in 2025, the industry faces mounting pressure from sustainability demands, rising costs, and digital disruption. From energy monitoring to AI-driven planning, BMSvision is at the forefront of helping manufacturers achieve efficiency while embracing sustainability. In this exclusive conversation with Fibre2Fashion, CEO Jan Bogaert reflects on the company’s journey, its role in shaping digitalised textile manufacturing, and the breakthroughs that lie ahead.
BMSvision has reached the milestone of 50 years in 2025. How has the textile industry’s digital transformation shaped your journey, and how has BMSvision adapted to remain a global leader in MES solutions?
Reaching 50 years is a milestone that reflects both the resilience of our company and the rapid evolution of the textile industry. When we started, the industry was driven mainly by mechanical automation and basic electronic controls. Over time, digitalisation has reshaped every part of the value chain—from planning and scheduling to real-time shop floor visibility and integrated supply chain management. At BMSvision, we adapted by continuously broadening our MES portfolio: from simple machine monitoring in the early years to today’s comprehensive digital platforms that connect data, people, and processes. Our strength lies in combining the trusted robustness of our Barco heritage with continuous innovation. This balance of reliability and forward-thinking innovation has allowed us to remain a trusted partner and global leader in MES solutions for textile producers worldwide.
Energy, sustainability, and efficiency are pressing concerns for textile producers worldwide. How do your MES solutions help manufacturers balance productivity with sustainability goals?
Textile manufacturing has always been about efficiency, but in today’s world, efficiency cannotbe disconnected from sustainability. Energy consumption, waste reduction, and resource efficiency are now strategic priorities. Our MES solutions address this by giving manufacturers a single, real-time view of where resources are consumed and where losses occur—whether in energy use, raw material waste, or machine downtime. For example, our energy monitoring modules allow mills to pinpoint inefficiencies and link them directly to production performance, making energy savings a direct driver of productivity. By providing these actionable insights, we help customers increase throughput while using less water, energy, and raw materials. In many ways, productivity and sustainability are now two sides of the same coin, and our solutions are designed with that principle at the core.
With AI, machine learning, and digital twins transforming manufacturing, what role do you see these technologies playing in future-ready textile mills?
The integration of AI, machine learning, and digital twins is transforming how textile mills operate. Traditionally, manufacturers reacted to issues once they occurred—whether it was machine breakdowns, quality defects, or supply disruptions. With these technologies, mills can move to predictive and even prescriptive operations. For instance, AI-driven scheduling can dynamically adjust production plans to balance efficiency, delivery deadlines, and energy consumption. Digital twins allow mills to model different production scenarios without interrupting the actual process, giving decision-makers the ability to test and validate before implementing. Machine learning continuously analyses process data, identifying patterns that humans might miss and suggesting optimisations in areas such as quality control and energy use. In short, these tools are paving the way towards the ‘autonomous mill’, where decision-making is augmented by data intelligence at every level.
Many textile producers face challenges such as labour shortages and rising costs. How can MES solutions address workforce efficiency while empowering operators on the shop floor?
Labour shortages and rising workforce costs are among the biggest challenges our customers face today. The response is not to replace workers, but to enable them to do more with the tools they have. Our MES platforms are designed with operator empowerment in mind. We provide intuitive dashboards, real-time alerts, and guided workflows that allow operators to manage a larger number of machines without sacrificing quality or safety. For example, when a machine shows signs of inefficiency or drift, the system automatically notifies the operator and suggests corrective actions. This reduces the need for constant manual supervision and lets the workforce focus on higher-value tasks. Ultimately, MES helps bridge the gap between advanced automation and human expertise— making the operator’s role more impactful while reducing dependency on scarce labour resources.
Global competition is intensifying, with varying compliance and sustainability requirements across markets. How does BMSvision tailor its MES solutions for regional needs while maintaining global standards?
One of the complexities of working in textiles is the global nature of the industry. Mills in Europe face strict sustainability and compliance requirements, while producers in Asia may prioritise flexibility, scalability, and cost-efficiency. Our approach has been to develop a modular and highly configurable MES platform that can be tailored to these diverse needs. For instance, we can integrate specific compliance reporting for European customers, while enabling fast scalability for rapidly growing markets like India or China. At the same time, we maintain a consistent global standard in terms of architecture, data quality, and connectivity—ensuring that multinational companies deploying our solutions across multiple regions can still benchmark and harmonise their operations. This ability to adapt locally while supporting global consistency is a key factor in our long-term partnerships with leading textile groups worldwide.
Partnerships are central to your mission. Could you share examples of how BMSvision has co-created solutions with textile clients that led to measurable improvements in productivity or sustainability?
We believe that the best solutions emerge from collaboration with customers. Our development roadmap is not driven in isolation but through close partnerships with mills facing real-world challenges. A good example is our collaboration with a major denim producer, where we co-developed a module to track and optimise water usage directly within their MES dashboard. This not only gave them better visibility but resulted in a measurable double-digit reduction in water consumption— critical in an industry under pressure to reduce environmental impact. A recent example of co-creation is the development of our Advanced AI Planning algorithm, which was shaped in close collaboration with several leading textile producers. Planning is one of the most complex challenges in textile manufacturing— balancing delivery deadlines, machineconstraints, material availability, and energy consumption. Traditional scheduling methods often fall short when conditions change rapidly. Together with our customers, we designed an algorithm that uses real-time shop floor data to dynamically optimise production plans.
One European customer applied this solution to their weaving operations and achieved a significant reduction in changeovers and idle time. Another customer in US leverages the system to better align production with highly flexible planning demands, immediately lowering costs while improving on-time delivery. These results demonstrate the impact of co-innovation: by combining our MES expertise with customer insights, we have delivered a planning tool that not only increases productivity but also makes operations more resilient and sustainable.
These co-creation projects are proof that MES is not just a product, but a partnership that delivers tangible business results.
Looking ahead, what do you believe will be the next big breakthrough in textile MES—be it in fibre-to-fabric traceability, circular production models, or advanced automation?
Looking ahead, we believe the most impactful breakthroughs will come in fibre-to-fabric traceability and circular production models. Consumers, brands, and regulators are demanding transparency on where and how textiles are produced, what resources are consumed, and what the environmental footprint is. MES will be central to enabling this transparency because it connects production data at every stage. Imagine being able to trace a garment back to the fibre batch it originated from, with a full record of the energy, water, and materials used during its lifecycle. This level of traceability not only supports compliance but also empowers circular business models where materials can be recovered, reused, and recycled. Combined with advanced automation and digital supply chain integration, MES will play a critical role in shaping a textile industry that is not only more competitive but also more sustainable and future-proof.
