5 tips for efficiently dealing with the effects of inflation: How companies can strengthen their competitiveness by using AI-powered data classification

Tip 1: Manage correspondence efficiently through automation

AI-based data classification offers companies the opportunity to efficiently manage the daily flood of emails. Manually sorting hundreds or thousands of emails per day is time-consuming and error-prone. “Enterprise search software solutions like searchit today often offer an automated classification of emails and documents, such as scanned mail. This saves valuable resources and employees can concentrate on more important tasks, while machine learning algorithms sort the correspondence according to topics such as offers or support requests,” explains Wendl.

Tip 2: Quickly identify and analyze relevant data for informed decisions

Companies across various industries, including media houses, organizations with a strong focus on investigative research, law firms, and many more, can benefit from quickly identifying and analyzing relevant data using AI-based algorithms. Journalists, for example, can use automated data classification to search and analyze large amounts of data quickly and efficiently to uncover hidden patterns and connections. This skill plays a crucial role in developing investigative stories and uncovering scandals and wrongdoings. The combination of AI-based data classification and the expertise of experienced experts makes enterprise search software a powerful tool when it comes to information gathering. This benefit is not limited to journalism, but also to other areas of business where informed decisions must be made based on comprehensive data.

Tip 3: Optimize data management for an efficient work structure

Automated or manual tag assignment makes it easier to manage information, ensuring quick access to relevant data. Project-specific tags create structure and make it possible to quickly access relevant documents and optimize workflows. A link to deadlines ensures that important deadlines are kept in mind and that you can react promptly.

“Some of our customers work in the legal industry,” reports Wendl from day-to-day business. “They value searchit Above all, the ability to search client email archives, such as PST files, using full-text searches and also to structure them using automated classification. Regardless of the industry, companies can achieve significant time savings with these functions of an enterprise search solution.”

Tip 4: Protect sensitive data with automated data classification and tagging

Sensitive company data must be protected and may only be accessible to authorized employees. By automatically classifying and tagging data, companies can quickly and easily ensure that only employees with the appropriate access permissions can access it. This can affect projects with non-disclosure agreements, personnel files or accounting documents. This not only reduces the risk of data loss and unauthorized access, but also ensures compliance with data protection laws and guidelines.

Tip 5: Improved customer loyalty and trend analysis thanks to AI-supported data classification

Companies and private customers alike - everyone is currently struggling with the consequences of inflation, which is why expanding customer loyalty measures is a top priority in many companies. Efficient processing of customer and support inquiries kills two birds with one stone: your own costs are optimized and the faster processing time of your inquiries is a plus for customers. Implementing enterprise search software with AI-supported data classification enables companies to process customer inquiries more efficiently. Requests can be assigned to the appropriate teams more quickly, resulting in faster processing and higher customer satisfaction. Another bonus is identifying trends and patterns in the requests. In this way, customer needs can be specifically addressed and marketing campaigns can be tailored to new needs. If the solution also offers automated speech recognition, it will be particularly interesting for multinational companies. You achieve significant savings in time and resources through the automated classification of documents in the various corporate languages.

“The implementation of AI-based data classification has definitely proven successful for our customers. Intelligent algorithms and automated classification help you efficiently manage data and quickly identify relevant information in your daily work. In addition, the secure handling of sensitive data and the reduction of human errors contribute to the optimization of work processes,” emphasizes Wendl in conclusion. “This reduces costs and increases competitiveness – two points that can be crucial for a company’s survival, especially in times of high inflation.”