Bumble、AIデートアシスタント「Bee」をローンチ
Bumbleは、互換性と目標に基づいて人々をマッチングするAIデートアシスタント「Bee」を導入し、デートアプリをスワイプ操作を超えた段階へと進化させようとしている。
キーポイント
AIアシスタント「Bee」の導入
Bumbleが新たにAIデートアシスタント「Bee」を立ち上げることを発表した。
マッチング手法の進化
このAIは、表面的なスワイプ操作を超えて、互換性や目標といったより深い要素に基づいてユーザーをマッチングすることを目指す。
業界への影響
主要なデートアプリの一つがAIを中核に据えた機能を導入することは、オンラインデート業界全体の方向性に影響を与える可能性がある。
影響分析・編集コメントを表示
影響分析
この発表は、オンラインデート業界が単純な外見ベースのスワイプ操作から、AIを活用したより深い互換性分析へとシフトする可能性を示している。Bumbleのような主要プレイヤーの動向は、競合他社の戦略やユーザー期待に影響を与え、業界全体の進化を加速させる可能性がある。
編集コメント
主要デートアプリがAIをマッチングの中核に据える動きは、業界の転換点となり得る。実装内容とユーザー受け入れ度合いが今後の注目点だ。
Bumble、AIアシスタント「Bee」を導入──互換性と目標に基づくマッチングで、スワイプを超えたデートアプリへ
Bumbleの新AIアシスタント「Bee」は、互換性と目標に基づいてユーザーをマッチングさせることで、このデートアプリをスワイプ中心の操作から一歩進化させます。
原文を表示
Dating app maker Bumble is venturing into generative AI. During the company’s fourth-quarter earnings on Wednesday, Bumble introduced a new AI assistant it’s calling “Bee,” designed to become a personal matchmaker that learns users’ “values, relationship goals, communication style, lifestyle, and dating intentions” through private chats. It then uses those insights to help find the user more relevant matches.
Currently, Bee is in the pilot phase and being tested internally, Bumble founder and CEO Whitney Wolfe Herd told investors, but it’s launching into beta soon.
With Bee, the company envisions being able to capture much more information about Bumble users, as it learns more about each individual’s story and what they really want. This could differentiate Bumble’s app from others like Tinder, which also just underwent an overhaul as the dating app market has fizzled with Gen Z users.
Bumble says users will interact with Bee much like they do with other AI chatbots, through typing and speaking in a more conversational style.
Image Credits:Bumble
Initially, Bee will be used to power a new dating experience called “Dates” that uses AI to recommend matches, but in the future, Bumble says Bee will move into other areas, like offering date suggestions or requesting anonymous feedback from your prior matches.
In “Dates,” Bee will first learn about the user through a private, onboarding conversation. It then identifies two people who have shared intentions, values, and relationship goals. Both users are notified in the app with a description of why they make a great match.
The addition is part of a broader tech and AI-focused overhaul of the dating app, which to date has marketed itself as more focused on women’s needs. The company pioneered features like “women message first,” body-shaming bans, and tools that blurred unsolicited explicit images, among others.
Image Credits:Bumble
Now it’s looking to use AI to return to user growth amid a dating market that sees younger users, particularly Gen Z, growing tired of the swipe.
In fact, Herd said that Bumble would experiment with removing the long-popular swipe mechanism in select markets to see how users react. Instead of prioritizing swipes as a binary “yes” or “no,” Bumble is looking to leverage other features, like new “chapter-based” profiles where members can connect with one another on different parts of a user’s life story. This will give Bumble more data to feed into its AI system and algorithms.
“We will be introducing more dynamic ways for somebody to express interest in your story, rather than just your profile, and this is going to drive more dynamic engagement, spark better conversation, and ultimately drive better KPIs across the board — like engagement and chances to get better conversations going,” Wolfe Herd said. “You will also see us take a much more deliberate approach to getting people offline versus just in what people refer to as dead-end chat zones.”
The company is also looking into other ways to better cater to Gen Z, a cohort that often prefers group socializing over one-on-one dates to get to know people.
The company has been working to add AI to its app for years, rolling out changes like AI photo selection and feedback tools, for instance, as well as in areas like safety. Wolfe Herd told investors that Bumble’s back-end infrastructure had been overhauled as the app infused itself with AI.
The company reported better-than-expected earnings in Q4, with revenue of $224.2 million and average revenue per paying user up 7.9% to $22.20. The stock rallied some 40% on the news.
Sarah has worked as a reporter for TechCrunch since August 2011. She joined the company after having previously spent over three years at ReadWriteWeb. Prior to her work as a reporter, Sarah worked in I.T. across a number of industries, including banking, retail and software.
You can contact or verify outreach from Sarah by emailing sarahp@techcrunch.com or via encrypted message at sarahperez.01 on Signal.
View Bio
関連記事
今日のまとめ
AI日報で今日の重要ニュースをまとめ読み