Make market-driven decisions for product innovation to drive growth and sustainability with AI
Companies are constantly searching for ways to improve their productivity and streamline their product innovations lead time from inception to disposal. The use of visualization tools is helping teams better collaborate and accelerate product development cycle times. In sync data from product development combined with CAD models support all downstream manufacturing processes to gain efficiency and transparency. This means a Digital Thread is the integration of product design data across a product’s lifecycle in a circular economic manner for all process steps until the delivery and disposal or re-use at the end customer. Also, product designers want to get insights about the feedback from the products to improve continuously. With the help of generative AI product engineers can develop new product ideas and requirements and visualize the product BOM natively connected to S/4HANA. This innovation empowers engineers to streamline product development and take efficiency to new heights.
Business landscapes of companies are increasingly turning to market-driven decision-making for product innovation in order to drive growth and ensure long-term sustainability. One key tool that is revolutionizing this process is artificial intelligence (AI). By harnessing the power of AI, companies can analyze vast amounts of market data, consumer preferences, and trends to inform their product development strategies. AI-powered visualization tools are also playing a crucial role in enhancing collaboration and accelerating the product development cycles. These tools enable teams to seamlessly integrate data from product development with computer-aided design (CAD) models, resulting in improved efficiency and transparency throughout the manufacturing process.
A crucial aspect of market-driven decision-making is the concept of the Digital Thread. This refers to the integration of product design data throughout a product's entire lifecycle, from inception to disposal or re-use. By implementing a circular economic approach, companies can ensure that product design data is effectively utilized at every stage, leading to enhanced efficiency and reduced waste and emissions.
Furthermore, business AI is enabling product designers to gain valuable insights from customer feedback and continuously improve their offerings. Generative AI, in particular, is empowering engineers to develop innovative product ideas and requirements, while seamlessly connecting them to enterprise resource planning systems like S/4HANA. This groundbreaking innovation not only streamlines the product development process but also enables engineers to achieve unprecedented levels of efficiency.
In conclusion, leveraging AI and market-driven decision-making for product innovation is essential for companies looking to drive growth and sustainability. By embracing SAPs technologies and approaches, manufacturing businesses can stay ahead of the competition, deliver superior products, and meet the evolving needs of their customers.
Interested in learn more or discuss your business challenge?
Book a meeting with an expert from Pod1 (SAP Product Lifecycle Management) or Pod8 (Product Compliance for manufacturing).
Don't forget to explore the amazing showcases for process and discrete manufacturing industries - directly running on the booth to see how design data is linked to manufacturing and other processes.
Register for your free ticket here: https://events.sap.com/hannovermesse/en/home
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