For industries that continue to use legacy systems, it is invariably a false economy, with huge financial costs, security compromises, commercial consequences, and operational barriers. However, it is the cost of implementing new technology that holds back Manufacturing SMEs from taking the move forward. For a situation like this, instead of canceling the legacy system at one go, businesses can adopt a modular approach to phase out outdated technology in stages.
Servitization is not an odd sale but an outcome-focused strategic relationship with the customer, requiring manufacturers to invest in ongoing post-sales customer engagement. Engaging customers, keeping them in the loop of the latest release on the purchased product, enabling offer discovery and self-service, etc., define Customer Experience in the manufacturing sector.
The role of Data Intelligence in the manufacturing sector is to automate accountability. It brings people and data together for a significant outcome without the interference of higher management, speeds up delivery, tracks inventory real-time, and quickly identifies points of constraints to emerge successful in a competitive global market.
The Manufacturing sector leverages physical robots in assembling, testing, and product packaging. But for this labor and time-intensive sector, customer communication, procurement, inventory management, and payment processing have no system intelligence. And therefore, the consideration of RPA is progressive, driving more value across operations, the supply chain, and customer experience.