We comprehensively identify current management and operational challenges, clarify issues within your BOM/BOP structures, and develop a strategy that aligns with management and business transformation goals. We analyze your organization's challenges from the perspectives of business processes, systems, and data, laying the groundwork for successful AI and DX initiatives. Our AI and manufacturing experts actively participate in research and analysis, leveraging deep industry knowledge and domain-specific insights to define the best, most practical strategy for your company and industry.

Hands-on training programs and workshops provide participants with a practical understanding of the importance and role of BOM design and management in both management and operational settings. The program also discusses the relationship between BOM, AI utilization, and digital transformation (DX), which can help organizations prepare for the adoption of advanced technologies. The workshops are intended to promote communication and alignment among teams and stakeholders, laying the groundwork for successful subsequent project launches.

We design and implement AI/DX solutions that address your management and operational challenges. Our experts in manufacturing-focused AI and digital transformation oversee all phases of the project, from solution architecture and development to deployment and rollout, guiding high-risk AI/DX initiatives to success. We deliver high-quality solutions that prioritize performance, scalability, and ease of use, ensuring practical value and long-term adoption in real manufacturing environments.

Beyond providing individual services or solutions, we offer comprehensive, long-term support to help your organization accelerate its AI/DX initiatives and drive sustainable growth. As a trusted partner, we will accompany you on your AI/DX journey, aligning technology adoption with mid- to long-term business objectives. Our support extends beyond routine system operations and maintenance. We continuously improve and evolve solutions in response to rapid technological advancements, while also encouraging company-wide adoption and scaling of AI/DX initiatives to keep your organization at the forefront of innovation.

In addition to core design activities, engineers are frequently assigned a variety of ancillary tasks such as BOM creation, design reviews, design documentation preparation, regulatory compliance, coordination with manufacturing departments, drawing and 3D model management, and report generation. Improving the efficiency of these non-core activities enables designers to concentrate on high-value engineering work. With BOMDx, we examine your current business processes, systems, and tool usage and create new AI-enabled mechanisms that are tailored to your environment. This method simplifies ancillary design tasks, significantly increasing overall efficiency in design-related operations.

To begin product manufacturing, several preparatory tasks are required, such as converting from E-BOM to M-BOM, structuring BOPs and work instructions, and developing monthly, weekly, and daily production plans and schedules. These tasks are frequently handled by a small number of production planners or operational staff, resulting in a concentration of workload and the risk of knowledge silos among specific individuals. With BOMDx, we analyze existing business logic and operational knowledge to create AI-powered solutions that are tailored to your company's specific needs and challenges, allowing for more balanced workload distribution and more resilient manufacturing operations.

Cost and lead time estimates during sales negotiations are frequently based on past experience or the intuition of shop-floor employees and engineers. Furthermore, gathering estimation data, preparing quotations, and submitting them all take a significant amount of time and effort. BOMDx combines historical quotation data with your organization's knowledge to enable AI-driven cost and lead time predictions. We also propose and implement a data-driven framework for managing and operating the standard values and parameters used in cost and delivery calculations, thereby improving estimation accuracy and consistency.

Historically, inventory levels and reorder points were determined using shortage rates derived from demand forecasts based on past performance data. However, for items with long-tail or fat-tail demand distributions, this approach frequently yields inaccurate estimates. We use BOMDx to reassess item and SKU design and operational models, as well as to establish data management processes that are in line with actual demand characteristics and inventory management practices. Furthermore, our AI-powered approach predicts optimal inventory levels and reorder points, lowering losses caused by stockouts, excess inventory, and disposal.

System and data integration across sites is frequently a major challenge in scenarios such as site consolidation or integration during M&A-driven Post Merger Integration (PMI), or the transfer of production sites caused by supply chain disruptions. With BOMDx, we analyze and rationalize core master data, such as Bills of Materials (BOMs) and process routings, which are critical to system and data integration, allowing for seamless site consolidation and production transfer. In addition, we design and implement AI-enabled integration interfaces and data transformation solutions, allowing system integration projects to be completed more quickly and with higher quality.

Maintaining consistency and governance of manufacturing data across sites is a significant challenge for global manufacturing companies. Each site has unique core system requirements, making it impractical to centrally manage all data within a single integrated system like PLM. With BOMDx, we improve governance over manufacturing data that is distributed across multiple sites. This allows for better management decision-making through cross-site manufacturing data analysis, as well as the establishment of strong manufacturing data management processes that can withstand site consolidation and production transfers.