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Optimizing Low-code to Drive Intelligent Automation in the Supply Chain
Businesses are assessing how to automate their current processes and incorporate a digital transformation strategy that will evolve their business models and create new revenue streams.
Aug 25, 2019—
Analyst firm IDC predicted that in 2022, worldwide spending on technologies that enable digital transformation will reach almost $2 trillion. According to the report, the manufacturing industry is forecasted to be responsible for a large portion of digital transformation spending in 2019. Streamlining production through automation technologies and optimizing a digital supply chain are key priorities for manufacturers.
Implementing RFID technology in production is a significant part of the automation and greater digital transformation process. However, automating data and workflow management is also critical to improving inventory management and increasing efficiency of RFID in the supply chain. This can enhance manufacturing and production line productivity, dictate warehouse and shipping movements, track logistics and inform smarter business decisions.
At the same time, as technology continues to evolve, old data-management solutions are now interacting with a growing number of specialized technologies, including artificial intelligence (AI), RFID tags, optical character recognition (OCR) and natural language processing (NLP) tools. As a result, a unified data or content services platform is necessary to effectively manage the various technologies with a holistic, yet intelligent approach.
Combining data management with digital process automation (DPA) tools allows manufacturers to improve how different technologies, including RFID, interact with each other to improve operations. With low-code DPA tools, IT teams, different departments and customers can then access information across multiple platforms to achieve greater efficiency among complex operations.
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