The aim of the project is to optimize the shopping experience in a company's web store by allowing a product to be designed virtually in the store according to the customer's wishes and then ordered. In addition to data protection and legal issues, the challenge lies in finding a solution for the integration of product data that is not held by the retailer and finisher of the products themselves, but comes from suppliers.
By providing available delivery capacities and product data on an online platform that complies with the Beckn standard for Industry 4.0, Roeser's systems are linked with those of its suppliers, enabling standardized communication between the systems and creating a new, flexible business model. AI enables a fast and flexible process flow.
Markus, Heike; Acharya, Sampat; Cisneros Saldana, Shantall Marucia (2026)
Procedia Computer Science 277, 2026, 1889-1898.
This paper presents a low-complexity, open-source platform designed to empower small and medium-sized enterprises (SMEs) in the premium business to business (B2B) packaging industry with advanced digital capabilities for product personalization and rapid design visualization. Addressing the sector’s persistent barriers such as limited IT resources, manual workflows, and lack of structured supplier data access, the proposed system integrates dynamic web scraping for automated supplier data acquisition with real-time image processing for printable area detection on packaging components, particularly bottles. Leveraging open-source tools like Beautiful Soup, OpenCV, and Shapely, the platform eliminates reliance on time-intensive manual integration and supports agile, data-driven design workflows. The development process is guided by human-centered design principles to ensure usability and alignment with SME operational realities. Results demonstrate that this approach significantly streamlines catalog management and design preparation, offering a scalable pathway for SMEs to achieve digital transformation and maintain competitive differentiation in an increasingly digitalized packaging market.A Lightweight Open-Source Framework for Packaging Visualization and Data Automation
Open Access
Peer Reviewed