Production is becoming more customer-focused as it departs from delivering standardized mass products to market segments, and the emerging Industry 4.0 technologies render this much easier than before. These technologies enable two-way information exchange with customers throughout all the steps of product development, particularly in terms of tailor-made products. This study aims at presenting proposals of implementing Industry 4.0 technologies into the process of tailored products, where the product is customized for the customer from the start and where adjustments are also made at the manufacturing stage. The study also aims to build a concept of intensification of customer contact and to improve the process flow by applying Industry 4.0 technologies. The study’s subject is tailor-made furniture production, with individually designed products that are manufactured and installed at a customer’s facilities. The company in the study operates on a small scale. The study employs a case study methodology that shows how the process can be improved in terms of real-time effective customer contact and process flow. The huge potential of 3D visualization as well as augmented and virtual reality technologies are also demonstrated. The study concludes with several directions for further development of existing technology solutions.

Increased competition has led businesses to compete with each other in streamlining supply chain processes, especially in the manufacturing sector. Supply Chain Management (SCM) determines the success of industrial business processes because it regulates product flow regarding integration, performance, and information. However, several problems have emerged in the supply chain process, such as a lack of coordination in the production queue, difficulties in forecasting trending products, and suboptimal production capacity. To address these issues, the role of information technology is crucial for implementing a Decision Support System (DSS). This study aims to develop a DSS to improve the supply chain processes. The research method used is Extreme Programming (XP) with a qualitative approach through a questionnaire. The research process involves collecting data, defining boundaries and problems, and designing, coding, and testing the system. As a final step, evaluation is carried out by distributing surveys to obtain valid satisfaction results. This research produces a DSS that has applicability in marketing, accounting, and production processes. The application of DSS in the furniture manufacturing industry can help manage the movement of resources, optimize strategic networks, and assist decision-making in the supply chain process.