Raonflying Expands Competition Features in Swing Easy Short-Game AI
AI TIMES ·
✦ AI Summary
According to AI TIMES, Raonflying strengthened its push to win over overseas users with an update to its AI golf self-training solution, "Sw…
According to AI TIMES, Raonflying strengthened its push to win over overseas users with an update to its AI golf self-training solution, "Swing Easy," on September 17, adding short-game-specific analysis and global competitive content. The core of the overhaul is the addition of 43 customizable widget boards, the largest in South Korea, and a short-game-specific AI analysis engine. By letting users directly choose and arrange the metrics they need, the update makes it easier to design training flows tailored to the elements they want to correct. The move appears aimed at improving the completeness of practical training by closely examining movements and club trajectories not only in full swings but also in short-distance play. In addition, Raonflying sought to boost both record competition and immersion by adding participatory features such as leaderboards, challenges, and free practice. The company plans to continue enhancing its features and content to expand demand at home and abroad and connect that to greater supply in its golf business and higher sales.
Perspective
This update can be seen as an attempt not just to add features, but to personalize training tools and combine competitive elements to expand the platform experience. In particular, focusing separately on a segment like the short game, which is directly tied to actual performance, could become a differentiating point. From a user perspective, the standards for practice are becoming more granular, and from a business perspective, it signals that competition in services that drive repeat usage, beyond simply selling devices or solutions, has become more important.
This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.
This article was produced with the help of an automated content generation algorithm.
Source: AI TIMES
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