The textile industry is at a critical juncture where sustainability and production efficiency are paramount for its future. A recent example is the 53rd edition of “FUTURMODA”, which was notable for its focus on innovation and sustainability in the footwear and leather goods sector.

The implementation of digital technologies, such as 3D printing and automation, is transforming textile production, enabling more efficient processes and reducing environmental impact.

The industry is currently facing the challenge of balancing sustainability, quality and productivity. With increasing environmental regulation and consumer demands for eco-friendly products, the leveraging of data analytics to optimise processes is becoming essential.

Data Visualisation: Tradition vs. Innovation

Many companies still rely on traditional metrics in dashboards (e.g. Power BI), which, although accessible, do not reveal complex patterns. Multivariate visualisation with advanced analytics (PCA, PLS) can detect hidden relationships between water consumption, energy efficiency and fabric quality, optimising production and reducing waste.

Key Applications in the Industry

1. Optimising Processes with Machine Learning: Predicting defects in fabrics from image analysis in order to adjust production in real time.

2. Process Data Integration for Strategic Decisions: Integration of sensor, climate and production data to improve sustainability.

3. Data Quality: Standardisation and data cleaning to improve analytical accuracy.

Conclusion

Multivariate analysis and artificial intelligence are set to transform the textile industry, enabling companies to reduce costs, improve sustainability and increase competitiveness. Leading companies like Inditex are already implementing these strategies to transform their business models. The key to success is integrating tradition and innovation for more effective decision-making.