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How Hyperautomation Contributes to Circular Transformation

March 20, 2024 Avvale

Hyperautomation is one of the most interesting techno-strategic trends of recent years, capable of consistently ranking at the top of Gartner's charts and positively influencing, in addition to operational efficiency issues, the transition towards sustainable economic models.

Hyperautomation, the Modern Approach to Process Automation

Firstly, hyperautomation is an approach, not a technology like RPA (Robotic Process Automation) or Generative AI. It arises from the need to respond to market challenges through a systematic and high-level approach to process automation, leveraging all the technological evolution of the last decade and thrusting it towards new levels of operational efficiency and collaboration, both within and outside the company.

In the enterprise universe, hyperautomation is now a widespread concept that supports business evolution towards a data-driven paradigm. Analysts estimate the market will grow at a compounded annual rate of 19.8% until 2028,  demonstrating profound interest in this phenomenon.

Hyperautomation orchestrates and can rely on an advanced technological toolbox, including components such as RPA, IPA (Intelligent Process Automation), iPaaS (Integration Platform as a Service) integration platforms, and low code/no code development platforms, the latter being crucial for accelerating the automation solutions' time to market. The ultimate goal is to "automate as many business and IT processes as possible (Gartner)," focusing on the synergy of technological components, the company's internal domain expertise, and the technological expertise of the partner involved in the design and implementation of the solution.



Hyperautomation and Modern, Sustainable Business Models

The concept of hyperautomation was born with the goal of helping large companies pursue maximum operational efficiency and overcome the challenges of the markets in which they operate. Adopting this approach means, first and foremost, reducing process times, streamlining costs, and offering better customer and employee experiences.
Thanks to automation, people can focus on less repetitive and stressful activities, as well as those with higher added value.

From a wider perspective, the hyperautomation of processes leads to the reduction of inefficiencies and waste, and for this reason, it should be considered an enabler of the transformation towards sustainable and circular business models.

Firstly, through hyperautomation, companies can optimize their production processes, reducing material and energy waste and effectively employing human resources, which can be relieved from the most repetitive and lower value-added tasks. The effect can be significant not only in terms of productivity, i.e., times and costs but also in terms of environmental sustainability, considering that manufacturing is responsible for 2/3 of the global greenhouse gas emissions.

The optimization and (intelligent) automation of processes then lead to further effects, which also correspond to specific pains of the manufacturing sector, such as reducing product defects and extending their life cycle. These outcomes that are perfectly compatible with the circular economy paradigm. Finally, regarding the life cycle, hyperautomation can be adopted in product design and also in quality control, possibly in combination with advanced computer vision technologies.



Optimizing the Supply Chain with Hyperautomation

Hyperautomation is most valuable within complex and extensive supply chains, whose management challenges concern transparency, but also the interconnection with supply chain partners, collaboration, speed, document sharing, and process flexibility.

A circular economic model cannot materialize without fast, agile, error-free, and transparent collaborative processes, and this is precisely where the hyperautomation toolbox can make a difference. By quickly connecting heterogeneous systems, automating repetitive process areas, and creating ad-hoc applications, possibly infused with Artificial Intelligence, businesses can stimulate collaboration and information sharing. Furthermore, the use of low code and no code platforms makes any solution very flexible, allowing rapid adjustment to new market needs and those of one's partners.

In this way, adopting a hyperautomation approach in supply chain processes creates fertile ground for the development of modern, profitable, and sustainable business models, capable of supporting current and future corporate evolution.

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