Robotic Process Automation (RPA) is revolutionizing productivity by integrating seamlessly with your existing applications and systems to automate repetitive tasks. It’s a transformative solution that can be applied wherever processes need improvement. RPA empowers teams to focus on high-value work and fuel innovation by:
Opportunities for Automation are Everywhere:
RPA is a game-changer for organizations committed to precision, speed, and efficiency. By automating essential processes such as document management, data processing, and customer interactions, RPA establishes a scalable foundation for sustainable growth and a competitive advantage. This transformative technology reduces operational costs, enhances productivity, and frees up valuable resources for strategic initiatives. The potential for meaningful change is immense—discover how RPA can streamline operations, drive high-performance outcomes, and position your business for long-term success.
Robotic Process Automation (RPA) is set to play an even more pivotal role in digital transformation. With its adoption soaring across industries, RPA is projected to become indispensable in scaling business operations and enhancing resilience. Recent trends highlight that RPA, alongside AI and data analytics, will increasingly address complex workflows, predictive analysis, and customer service automation.
By streamlining operations in sectors like logistics, finance, and customer service, RPA enables organizations to stay agile, efficient, and ready for the future.
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People orientation is directly or indirectly one of the most important values in any company. It is about respecting each other, valuing competencies, and promoting personal development. You might think that workplace automation is gaining ground because of inherent technological advances and because innovation naturally finds its way into the economy. But a study co-authored by an MIT professor shows another cause: robots are more widely used where societies become notably older, filling the gaps in an aging workforce.
According to Eurostat, the EU’s statistical center, there are now fewer than three adults of working age (20-64) for every European citizen aged 65 or older. In nearly every European region, the old-age dependency ratio is forecast to rise. By January 2050, there will be fewer than two working-age adults for each older person. Yet, if a smaller proportion of people works, job positions remain unfilled. Encouraging older people to keep working and paying taxes for an even higher retirement is one way of dealing with this issue. But automation seems to offer an even better solution – one that can satisfy everyone.
Besides, people have little interest in handling mundane, repetitive tasks. This is becoming recognized by more and more enterprises which don’t want to relegate smart people to low-value work.
The power of RPA rests not only in increased efficiency and reduced costs. The ability to truly unleash employees’ creativity by freeing them from uninspiring and menial tasks is crucial.
Automation eases the burden of mundane work on people, and we would like it to always have such a positive impact. But it may happen that some jobs will disappear because of automation, and people may lose their jobs. However, when implemented in the right way, RPA will positively affect employee attitudes and workplace culture. This is because employees will be able to focus on work that is more engaging and more suited to their competencies and interests, even if it is only possible after re- or upskilling.
Automating boring and repetitive manual tasks means employees are free to focus their attention and efforts on things like creative thinking, strategic planning, long-term projects, development, contacting customers, brainstorming with colleagues, empathy, and more. In other words, all the things humans do much, much better than robots.
Creating education and self-improvement opportunities, supported with good communication, helps your staff feel comfortable with technology.
Leading enterprises now organize a blended workforce of humans and automation to leverage the complementary strengths each of them offers. The use of automation enables humans to make the most of their abilities, which is in line with predictions of many studies, saying that by 2030 employees will spend up to 50% more time using technological skills.
We always say, “I don’t have the time for that because I need to do all this.” Now, we will have more time for meaningful and better paid qualitative work.
Cost savings from reduced human effort (we take the robot out of the human). Estimates have found that RPA costs about one-third of a full-time offshore employee and as little as one-fifth of an onshore employee. In addition, hiring digital workers allows for a lower capital intensity — robots don’t require offices, desks, restrooms, parking spaces, PCs, cell phones, coffee, etc., which significantly reduces overall costs. Freeing up expensive human resources allows people to engage in higher-value activities where expert judgement, intuition, or collaborative decision-making are required and which are usually better paid.
Quality increase thanks to supporting high-risk control and regulatory and compliance requirements ( = reduction in risk). Software robots eliminate human errors and perform as commanded the same way every time, thus the digital workforce offers significant improvements in reliability and consistency.
Faster service by eliminating the bottleneck in personal resources, which in turn contributes to improving customer experience scores and brings additional revenues.
RPA is a business technology that increases process efficiency, employee satisfaction, and company’s productivity.
RPA Advantages:
RPA is system-agnostic software that seeks to mimic the human role in processes and make those processes faster and less error-prone.
Robots imitate the way people work with files, systems, databases, email services, and websites.
RPA eliminates swivel chair work, that is clicking on multiple systems, getting data from one source, and putting it into another.
Using algorithms, we can teach a robot to perform a sequence of activities, handle exceptions, report (to an employee) the need to make a decision, and in rare cases report failure in performing a task. Robots don’t make mistakes related to the source of data, structure, classification, or communication. The slowest robot will still work twice as fast as a human, does not need breaks, does not leave, and doesn’t even require a working station. Software robotics is a non-invasive technology for the company’s IT environment, meaning no hard integration with the existing IT landscape (no development of interfaces) and minimal involvement of the IT departments (accesses and some governance functions).
RPA is ideal for automating workflows that involve legacy systems lacking APIs, virtual desktop infrastructures (VDIs), or database access. In most cases, RPA is being used in conjunction with other automation technologies and techniques like big data analytics, intelligent OCR, content services, machine learning, Natural Language Processing, industrial IoT, and even blockchains.
Transport Shipping and Logistics (TSL) is all about cooperation. However, successful collaboration doesn’t come easily.
Data sharing today has become very important because different stakeholders within a supply chain – TSL being one of them – have their own way of doing things and their own IT infrastructure to support individual business processes. Thanks to RPA’s most important feature of linking systems that cannot see each other, it has become broadly applicable in the TSL industry, recognizing it as having one of the highest potentials for automation.
RPA can boost the efficiency of the following processes and tasks:
Shipment scheduling and tracking from initial pick-up request to checking and reporting shipment status between internal systems and external portals extracts –passing on details from incoming emails, logging jobs in scheduling systems, and providing pick-up times in customer portals.
Preparating reports (shipment status reporting, inventory rotation, occupancy of storage units, etc.).
Supporting tendering process on customer transportation portals.
Receiving, entering & validating orders.
Invoicing with the use of integrating systems with customer’s portals, automatically extracting shipping data, and attaching scanned PODs.
Automatically performing rate look-ups from multimodal carriers and 3PLs and capturing data from load boards and emails into internal systems.
Procurement: supporting purchasing activities (P2P); verifying the correctness of internal order placement; preparing price lists based on submitted offers; verifying documents sent by suppliers (offers, invoices, notes) in terms of their compliance with internal control procedures; etc.
Apart from logistics, enterprises operating in various industries – financial services, healthcare, manufacturing, public sector, retail, and far beyond – have implemented RPA.
Supply-chain automation opportunities: the following heat map increases the efficiency of the time spent for process identification.
Virtually any high-volume, business-rules-driven, and repeatable process is a great candidate for automation. Especially finance operations that involve inputting, processing, and merging financial data from numerous departments in financial planning & analysis (FP&A) systems – the majority of these tasks can be automated. Software bots are able to support many financial and back-office activities, including gathering data, executing orders, closing reporting and settlement periods, entering and accepting suppliers’ invoices, processing and tracking payments, reporting deviations, and many, many more.
Our 7-year practice focuses on providing critical insights and methodologies for enterprise customers in intelligent RPA. BPMN is a globally accepted ISO standard for process models.
OUR OFFER COVERS THE ENTIRE IMPLEMENTATION OF INTELLIGENT AUTOMATION:
While searching for suitable candidates, we conduct a high-level assessment with your staff to consider the following criteria:
the reasons making the process problematic from a business perspective, process frequency (e.g., 5 times a day), average handling time, number of steps, number and names of applications ( data pulled from different systems, screens, data sources) used in the process, number of users (full-time equivalent counts), number of process variants.
Other criteria: the input must be electronically readable (structured data), the process and its underlying application must be stable, the process has repeatable business rules. At this stage, we can compare different candidates and prioritize implementation. The biggest Return of Investment is one of the most common prioritizing criteria.
