The e-commerce platform Cafe24(042000) rolled out a feature that uses artificial intelligence (AI) to analyze its own store data and present problem diagnoses and directions for improvement.
On the 27th, Cafe24 said it introduced a new “AI Report” feature to its data analysis service “Cafe24 Analytics.” The feature allows operators to receive a single report covering key performance and changes in the store, issues, improvement plans, and expected effects without having to compare and interpret multiple indicators one by one.
Reports can be created in two ways. A “period report” provides a comprehensive analysis of store performance on a daily, weekly, or monthly basis. A “custom report” analyzes only the necessary data when the operator enters, in natural language, what they want to know—such as sales trends for a specific product or performance by advertising channel. When one of five perspectives—marketer, data analyst, product planner, or executive—is selected, the report is tailored to the work objective even with the same data.
The report presents insights with supporting figures along with increases and decreases in eight key metrics, including total sales, purchase conversion rate, and average order value. The analysis covers eight areas across overall store operations, including sales trends, advertising and inbound channels, purchase funnel, cart abandonment, and new and repeat purchases. Items needing improvement link directly to the relevant administrator settings screen so action can be taken immediately.
Lee Jae-seok, CEO of Cafe24, said, “How well data is understood and utilized has become a key factor determining competitiveness in online business,” and added, “We will advance the utilization environment so that data accumulated in our own store can lead to new growth opportunities and business strategies.”
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