According to Gartner, RPA is the fastest-growing segment of the worldwide enterprise software market, with revenue from RPA software growing by 63.1% in 2018. The reason is straightforward: RPA is quick to deploy, requiring little lead time to deliver cost savings and process efficiencies.
RPA is not a cure-it-all and works best where companies have high volumes of very manual transactions that are relatively simple, clearly structured and limited in complexity. It so happens that many logistics and supply chain transactions fit that mold perfectly.
Automation has broad benefits for enterprises, especially those companies that contribute to the movement and distribution of goods. Applying a layer of RPA on top of existing processes carries the following advantages:
Companies can enjoy these benefits with relatively minimal up-front costs compared to other digital transformation efforts. This is because RPA is applied on top of existing processes and software, without a need for the wholesale re-engineering of existing operating models. Managing the paperwork and other manual processes that facilitate the movement of goods can be very time consuming, so it’s no wonder that RPA has a plethora of use cases in the field of transport, logistics and supply chains:
If there’s a predictable, repetitive manual process in the supply chain, there’s a good chance RPA can bring measurable benefits.
Companies in all industries are stepping up their efforts to embrace automation, and RPA is clearly finding a role in the automotive industry and logistics:
Outlining just three use cases is of course merely scratching the surface of the potential RPA has across the transport and logistics sphere.
Here at ELEKS we’re seeing how technology, including automation, is transforming the movement of goods. From the advantages of intralogistics through to advanced logistics software solutions that boost efficiency, enhances safety and drives performance.
Get in touch with us to see how RPA can drive performance and efficiency for your organisation.
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