RPA has transformed business, but to reach its full potential, it needs AI. Discover how AI can boost automation, optimize resources, and give businesses a competitive edge in the digital age.
Table of Contents
AI: A new frontier in automation
With competition fiercer than ever, businesses are turning to automation to streamline their operations. While automation solutions have developed, many still struggle to keep up with the demands of today’s dynamic business environment. Current automation tools are often limited to simple tasks and lack the flexibility to adapt to changing circumstances.
According to a Forrester survey, a significant gap exists in the automation capabilities of businesses. 63% of respondents reported that their current solutions cannot handle complex tasks. While 58% that these solutions lack the agility to adapt to changing business needs.
Therefore, businesses need to look towards more advanced technologies that can handle complex tasks, support decision-making, and adapt to real-world changes, while also improving efficiency and productivity. Among these, AI is emerging as the inevitable trend in the future of automation, promising to deliver groundbreaking and highly effective solutions. With this new trend, MarketsandMarkets predicts that the global automation market is expected to reach $274.3 billion by 2026. Thanks to the support of AI, with a compound annual growth rate (CAGR) of 15.5% from 2021 to 2026.
The necessity to enhance automation within companies
The automation landscape in businesses today has undergone significant transformations and improvements based on real-market demands. Enterprises are now seeking comprehensive automation solutions capable of solving more complex problems, aiming to optimize operations and ultimately achieve their business objectives in the digital age.
Businesses are increasingly seeking automation solutions that can handle complex, multi-step tasks that require the coordination of multiple departments. These solutions must be flexible and adaptable to diverse workflows to maximize operational efficiency.
Moreover, a crucial element in modern automation is providing robust support for human decision-making. Intelligent automation systems should offer accurate data analysis, aiding in evaluation and optimal choice selection under human supervision.
The ability to learn and adapt to changes in the business environment is also a critical requirement. Automation solutions must continuously update new data, automatically adjust operational processes to align with market fluctuations, customer needs, and other factors, ensuring long-term operational efficiency.
Beyond basic process automation, RPA’s efficiency and capabilities can be enhanced through integration with other technologies. For instance, computer vision empowers RPA to operate more accurately and effectively, especially in complex or variable environments like quality control inspections, where it can detect and remove defective products from production lines. Additionally, natural language processing (NLP) enables more rapid and accurate automated responses 24/7, leading to positive customer feedback.
Modern automation is all about boosting efficiency and productivity to drive business success. By automating routine tasks, businesses can reduce costs, optimize resource allocation, and ultimately increase profits. This allows employees to concentrate on more strategic and creative endeavors, fueling innovation and growth.
Common use cases of integrating RPA and AI
Document Processing Workflow
- Automatic Classification: AI assists in identifying the type of document or file based on its content, images, or provided information.
- Accurate Data Extraction: Automatically extracts essential information from documents and files, minimizing manual input errors.
- Assessment and Decision-Making: AI can assess documents based on predefined rules, making automated decisions or providing recommendations for human review.
According to a Forrester Research report, 74% of businesses have implemented RPA and AI to automate document processing, resulting in up to a 50% reduction in time and costs.
Human Resources Management
- Personalized Training Material Creation: AI automatically adjusts training content to match individual learning styles and skill gaps. This maximizes knowledge retention and development planning for employees.
- Performance Prediction Based on Data: By analyzing historical data, AI can predict employee performance,allowing for proactive interventions and targeted support for high-potential individuals or those at risk of falling behind.
- Policy Scenario Simulation: Facing challenging HR policy situations? AI can simulate various responses,supporting strategic decision-making based on business data.
Retail and E-commerce
- Personalized Product Recommendations: AI can analyze purchase history, personal preferences, and market trends to suggest suitable products for each customer, increasing conversion rates.
- Virtual Shopping Experiences: Artificial intelligence can create virtual shopping spaces, allowing customers to “try on” products through virtual reality (VR) before purchasing
- Dynamic Pricing Models: Based on real-time market data, AI can suggest flexible pricing, optimizing profits for businesses and attracting more customers.
For example, Chinese researchers have used the PPGAN (Personalized Pointer Generative Adversarial Network) model to create concise and engaging product titles. Their model outperformed conventional models with a click-through rate of 5.18% compared to 3.53%.
Supply Chain Management
- Demand Forecasting: AI can accurately forecast demand. Then it enabling businesses to produce and stock the right amount of goods, avoiding shortages or excess inventory.
- Transportation Optimization: Optimizing transportation routes based on factors such as distance, time, and traffic conditions helps save costs and reduce delivery time.
- Disruption Risk Analysis: Simulating potential disruptions in the supply chain (natural disasters, strikes, etc.) to develop contingency plans and minimize negative impacts on business operations.
The combination of RPA and AI promises to deliver an intelligent and flexible supply chain that can adapt well to market fluctuations and optimize business efficiency.
Preparing for the Age of AI: Key Considerations for Enterprises
Exploring AI potential
To effectively leverage the power of AI, businesses need to identify areas where AI can have the greatest impact. Therefore, analyzing existing workflows and processes is essential to determine tasks that can be automated or enhanced with AI technology. Based on complex data or analysis requirements, businesses can transform them into ideal candidates for AI integration, such as those suitable for RPA. After finding the right strategy, businesses will make decisions to invest in AI infrastructure and human resources in the most efficient way.
Upskilling Employees in the Age of Automation
As AI continues to reshape the workforce, businesses need to focus on upskilling and retraining employees to thrive in the age of automation. While AI automation may replace certain job functions, it also creates opportunities for employees to engage in more strategic and creative tasks. Businesses should invest in employee development programs and provide learning opportunities. So that can equip the workforce with the necessary skills to adapt to a changing landscape. Additionally, employees need support as they transition to an AI-driven workplace. Workshops, materials, and hands-on experiences are ways to alleviate anxiety and build employee confidence when working alongside AI systems.
Safeguarding Privacy in the Age of AI
With AI becoming ubiquitous, protecting customer privacy is paramount. Businesses must go above and beyond to secure sensitive data. By prioritizing privacy and security, businesses can foster trust, safeguard their reputation, and mitigate the risks associated with data breaches.
Wrapping Up
The wave of AI applications is growing stronger, and businesses that proactively adapt will reap significant rewards. Businesses need to seize this opportunity and apply AI effectively to enhance competitiveness, increase market advantage, and break through in the age of automation. Alongside businesses, akaBot is ready to be an advanced solution, integrating the power of RPA and AI, to pave the way for a comprehensive digital transformation journey.
Reference
https://www.linkedin.com/pulse/from-concept-reality-step-by-step-guide-identifying-use-tony-walker
https://www.linkedin.com/pulse/ai-future-work-preparing-your-business-automation-age-yobiapp
https://automationedge.com/blogs/10-best-use-cases-to-automate-using-rpa-in-2024/
akaBot (FPT) is the operation optimization solution for enterprises based on the RPA (Robotic Process Automation) platform combined with Artificial Intelligence, Process Mining, OCR, Intelligent Document Processing, Machine Learning, Conversational AI, etc. Serving clients in 21+ countries, across 08 domains such as Banking & Finances, Retail, IT Services, Manufacturing, and Logistics…, akaBot is featured in “Voice of the Customer” for Robotics Process Automation” by Gartner Peer Insights, G2, and ranked as Top 6 Global RPA Platform by Software Reviews. akaBot also won the prestigious Stevie Award, The Asian Banker Award 2021, Everest Group’s RPA Products PEAK Matrix® 2023, etc.
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