Hello, I am Kakeya, the representative of Scuti.
Our company provides services such as offshore development and lab-based development in Vietnam, with a focus on generative AI, as well as generative AI consulting. Recently, we have been fortunate to receive many requests for system development integrating generative AI.
Generative AI is opening up new possibilities for business efficiency. Many companies are using generative AI to streamline a wide range of tasks, from simple operations to creative tasks.
Processes such as translation, summarization, data analysis, and content generation have been automated, leading to significant time and cost savings. Additionally, the use cases for generative AI are increasing daily, including automation of customer services and streamlining internal operations.
In this article, we will thoroughly explain the examples of companies that have achieved business process improvement by leveraging generative AI.
An Overview of Business Efficiency through Generative AI
Generative AI Contributing to Increased Corporate Productivity
The introduction of generative AI directly contributes to improving corporate productivity. Particularly, there are increasing examples where the use of generative AI has greatly improved everyday business processes.
For instance, automated document generation and data entry processes have made tasks that were previously time-consuming by hand much faster. As a result, employees have more time to focus on creative tasks, improving overall business efficiency.
Generative AI also particularly improves business operations that use language processing technologies such as translation and summarization. This reduces communication barriers across different languages, enabling smoother international business operations. Additionally, in data analysis, generative AI allows for the rapid extraction of useful information from vast amounts of data, facilitating swift and accurate decision-making.
Ultimately, these improvements not only enhance corporate productivity but also lead to higher job satisfaction for employees. Business process improvement through generative AI is expected to be adopted by many more companies in the future, contributing greatly to improving industry-wide productivity.
The Benefits of Introducing Generative AI
The benefits of introducing generative AI are numerous, but the most prominent for companies are automation and efficiency.
By utilizing generative AI, repetitive tasks and time-consuming operations can be automated, allowing employees to focus on higher-value tasks. For example, generative AI assists in processes like content generation, report creation, and data analysis, which not only saves time but also reduces errors.
Furthermore, generative AI contributes to improving customer service. AI’s ability to automatically respond to customer inquiries increases response speed, thereby enhancing customer satisfaction. Additionally, generative AI enables product customization and individualized services, allowing businesses to meet the specific needs of each customer.
These benefits not only improve operational efficiency but also contribute to the overall sustainability of the business. By adopting generative AI, companies can use resources more efficiently and maintain their competitive edge. In this way, generative AI has become an important tool not just for enhancing productivity, but also for securing a market advantage.
Practical Examples of the Effectiveness of Generative AI
Real Examples of Efficiency Through Generative AI
A practical example of the efficiency achieved through generative AI can be seen in a transformation experienced by a mid-sized company.
By introducing generative AI, the company significantly improved its employees’ daily operations. Specifically, this included the automation of customer service and the streamlining of report generation. By utilizing generative AI, an automated response system immediately reacts to customer inquiries and provides basic problem-solving solutions.
As a result, customer support staff were able to focus on more complex issues, leading to shorter response times and higher customer satisfaction.
In report generation, generative AI analyzed past data, selected the necessary information, and automatically created drafts.
As a result, tasks that previously took several hours were completed in a matter of minutes, freeing up time for other strategic tasks. Additionally, after implementing this system, the error rate was reduced, enabling more accurate reporting.
As evident from this example, the introduction of generative AI not only saves time but also enhances the quality of work. By adopting AI solutions customized to address specific challenges, improvements can be achieved at every stage of business operations.
Successful Companies Leveraging Generative AI and Their Achievements
A prominent example of a company that has achieved notable results using generative AI is an international retailer.
This company used generative AI to automate inventory management and customer service processes. Specifically, AI analyzed past sales data to forecast demand, significantly reducing issues of overstocking and stockouts. As a result, supply chain efficiency improved, and the company successfully optimized its management resources.
In customer service, a chatbot powered by generative AI was introduced to handle customer inquiries 24/7. This system reduced customer wait times and simultaneously improved the quality of customer service.
Furthermore, AI used customer data to develop personalized marketing strategies, leading to increased customer satisfaction and higher sales.
In this way, the use of generative AI has helped employees break free from repetitive tasks and focus more on strategic work, contributing to improved overall productivity. The success of this company clearly demonstrates the potential of generative AI technology, and similar effects are expected in other industries as well.
Cost Reduction and Efficiency Through Generative AI
The Transformation of Translation and Summarization Tasks with Generative AI
Generative AI has enabled significant improvements in the efficiency and cost reduction of translation and summarization tasks.
Specifically, AI technology automates translation tasks that previously required human effort, allowing for fast and accurate translations. For example, translations of business documents and technical materials in multiple languages are now quickly processed by generative AI, making international project progress smoother and reducing communication barriers.
In addition, generative AI can extract necessary information from large volumes of text data and present it in a compact and easy-to-understand format. By utilizing this technology, the preparation of reports and meeting materials has become much more efficient, speeding up business operations. Furthermore, as generative AI continues to learn, its accuracy improves, enabling the generation of higher-quality summaries that better meet specific needs.
Automation from Data Analysis to Content Generation
The automation of data analysis and content generation through the introduction of generative AI marks an important advancement in business efficiency.
In data analysis, generative AI extracts valuable insights from large datasets and supports decision-making based on this information.
For example, by automatically analyzing market trends and customer behavior, generative AI quickly provides these insights, allowing strategic planning to proceed faster. This process improves the accuracy of identifying data trends while significantly reducing the time required for analysis.
On the other hand, in content generation, generative AI creates articles and reports based on specific guidelines. By leveraging this technology, the drafting of news articles and the creation of marketing materials are automated, reducing work time while maintaining content quality and consistency.
Especially in cases where regular content updates or large amounts of content are required, the efficiency and accuracy of generative AI provide a significant advantage.
These automations allow employees to spend more time on creative tasks and strategic thinking, contributing to the overall improvement of company productivity and creativity. Automation from data analysis to content generation clearly demonstrates the potential of generative AI and is seen as a key point in future business reforms.