[Edaily Reporter Lee So-Hyun ] Cafe24 Corp.(042000)has introduced a report feature that uses artificial intelligence (AI) to analyze online store operation data and provides a comprehensive overview of performance trends, root causes of issues, and recommendations for improvement all at once.

Cafe24 Corp. announced on the 27th that it has added an AI-based reporting feature called “AI Report” to its data analysis service, “Cafe24 Analytics.”

AI Report goes beyond simply summarizing online store data; it provides key performance metrics, changes, problem diagnoses, improvement strategies, and expected outcomes all in a single report.

It works by having AI analyze the data to identify key issues and opportunities, eliminating the need for operators to manually compare and interpret various metrics.

From period-based analysis to natural language-customized reports

AI Report is divided into “Period Reports” and “Custom Reports” depending on the purpose of the analysis.

Period Reports comprehensively analyze the online store’s performance and changes over specific time periods, such as daily, weekly, or monthly.

With Custom Reports, operators can enter their queries in natural language—such as “Show me the sales trends for a specific product” or “Analyze performance by advertising channel”—and the AI selects the necessary data to compile a report.

Users can also select the analytical perspective. The platform offers five perspectives—including “General,” “Marketer,” “Data Analyst,” “Product Planner,” and “Executive”—allowing users to receive analysis results tailored to their specific business objectives, even when using the same data.

Eight Key Metrics—Including Sales and Average Order Value—at a Glance

The generated report displays eight key metrics that reflect the online store’s performance—such as total revenue, purchase conversion rate, and average order value—along with year-over-year or month-over-month changes.

The AI analyzes key changes in the data to identify issues and opportunities, and provides supporting figures, improvement strategies, and expected outcomes for each insight.

The analysis results are visualized in charts and tables tailored to the characteristics of the data.

Items requiring improvement link directly to the relevant online store administrator settings screen, allowing operators to immediately implement the measures suggested by the AI.

Detailed Analysis of 8 E-commerce Operation Areas

The scope of the detailed analysis covers eight areas: △ Sales Trends and Time Bands △ Advertising and Traffic Channels △ UTM Advertising △ Products and Categories △ Purchase Funnel △ Cart Abandonment △ New and Repeat Purchases △ Search and Traffic Paths.

Custom reports allow users to select and analyze specific areas related to their requests.

Following the launch of the “AI Assistant”—a natural language-based data exploration feature—earlier this year, Cafe24 Corp. is expanding its AI-based data analysis capabilities with the addition of these AI reports.

While the AI Assistant focused on helping operators find the data they wanted directly, the AI Report places greater emphasis on comprehensively analyzing the overall performance of the online store to support actual operational decision-making.

Lee Jae-seok, CEO of Cafe24 Corp., stated, “How well data is understood and utilized has become a key factor determining the competitiveness of online businesses,” adding, “We will continue to enhance our data utilization environment so that the data accumulated in our customers’ online stores can be transformed into growth opportunities and business strategies.”