Fanatics和OpenAI如何精简粉丝体验
新的“Shop the Look”在线商业在秋季体育日历上及时推出发布。
参与
10%
比之前的"商店"更深入的接触，"看看"的经验。
测试尺度
~30,000
列入推荐测试的MLB产品。
测试速度
< 24小时
来测试前50个产品。
Fanatics和OpenAI合作改善粉丝体验。 作为该作的一部分，"Fanatics"是"Shop the Look"的发布 OpenAI动力版本，该版本使用AI模型推荐协调商品来帮助粉丝完成他们的游戏日装。
Fanatics是一个全球数字体育平台，使用ChatGPT Work和Codex横跨Fanatics公司，商业，收藏，以及Betting和Gaming.
商店Look现在通过Fanatics网络的许多站点进行直播——包括Fanatics.com和NFL,NBA,MLB和NHL等官方在线商店。 粉丝们可以更容易地找到推荐商品，当粉丝浏览他们最喜欢的球衣时
OpenAI模型利用丰富的产品数据、团队和库存信息来汇集建议。 Fanatics的通商规则保持选择的相容性和相关性，随着目录的变化，外观每天都会更新。
使用Codex,OpenAI和Fanatics工程团队迅速开发了自定义推荐工具来丰富产品和目录数据，找到相容商品，评价建议，并生成每个产品的外观。
在50个产品上测试新办法需要不到一天的时间。 Fanatics审查了外观，直接向建设者反馈。 经过几天的重复，公司批准了同一周的最低可行产品。 OpenAI帮助设计了解决方案，使Fanatics能够在其生产环境中实施"Look"的新商店体验并在整个上千个产品中推广这一方法。
在测试了大约30,000个MLB产品的建议后，OpenAI动力商店的Look经验比以往的经验提高了10%。
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How Fanatics and OpenAI streamline the fan experience
New “Shop the Look” online commerce feature launches in time for fall sports calendar.
Engagement
10%
Higher engagement than the previous Shop the Look experience.
Testing scale
~30,000
MLB products included in recommendation testing.
Testing speed
<24 hours
To test the first 50 products.
Fanatics and OpenAI are collaborating to improve the fan experience. As part of that work, Fanatics is launching an OpenAI-powered version of Shop the Look, which uses AI models to recommend coordinated merchandise to help fans complete their game-day outfits.
Fanatics, a global digital sports platform, uses ChatGPT Work and Codex across Fanatics Corporate, Commerce, Collectibles, and Betting and Gaming.
Shop the Look is now live across many sites across the Fanatics network—including Fanatics.com and the official NFL, NBA, MLB and NHL online stores. With it, fans can more easily find recommended merchandise to match with items they’re looking to wear. When fans browse for their favorite team’s jersey, Shop the Look suggests coordinated outfits on the product page, using in-stock items that match their team and intended style.
OpenAI models draw on enriched product data, team and inventory information to assemble the recommendations. Fanatics’ merchandising rules keep the selections compatible and relevant, and looks are refreshed daily as catalogs change.
Using Codex, OpenAI and the Fanatics engineering team quickly developed custom recommendation tools to enrich product and catalog data, find compatible merchandise, evaluate recommendations, and generate looks for each product.
Testing the new approach on 50 products took less than a day to complete. Fanatics reviewed the looks and gave feedback directly to the builders. After a couple days of iteration, the company approved the minimum viable product that same week. OpenAI helped design the solution which enabled Fanatics to implement the new Shop the Look experience in their production environment and scale the approach across thousands of products.
After testing the recommendations across roughly 30,000 MLB products, the OpenAI-powered Shop the Look experience achieved 10% higher engagement than the previous experience.
Auto-fetched and translated by AI Gem Box. All rights belong to the original author.