Multi-Disciplinary Product Development links all the digital and software technologies together to create innovative, superior quality products at reduced costs. AI is used by the engineering team and is also used to allocate processes for execution. IoT-enabled sensors map equipment capabilities to production units to determine the best pieces of equipment for production. In a digital supply chain, data is sequentially processed by each team and information is efficiently passed upstream for the next stage of production.

A multi-disciplinary development model allows for improved global team collaborations and brings about a complete change in the design, manufacturing and production phases of the development cycle. A digital solution eliminates the need for storing manual files of product information. Instead, it provides access to a large data repository that acts as a storage for product variants, assembly data, product features and raw material details. It also analyzes earlier product re-runs and test data to provide feedback on improvements and product behavior