The Yes
About The Yes
The Yes was a AI powered fashion shopping platform founded in 2018 that aimed to personalize online fashion discovery and shopping. It gained attention for building a virtual store per user using interactive yes/no inputs and social discovery features. Pinterest acquired The Yes in 2022 and subsequently shifted or integrated elements into its broader shopping ecosystem; reports indicate the original app was shuttered after the acquisition. The topic is real, historically significant in AI driven retail, and informs current discussions around personalized, social, and AI assisted fashion shopping platforms.
Trend Decomposition
Trigger: Acquisition of The Yes by Pinterest in 2022 and the broader push toward AI powered, highly personalized shopping feeds in fashion.
Behavior change: Consumers engage with highly personalized product recommendations and social sharing within fashion shopping apps; brands surface via algorithmic curation rather than static storefronts.
Enabler: Advances in AI driven recommendation engines, user feedback loops (yes/no preference signals), and the convergence of social features with commerce.
Constraint removed: Friction of discovering relevant fashion items is reduced by personalized feeds and cross brand shopping within a single platform.
PESTLE Analysis
Political: Digital consumer rights and data privacy regulations influence how personalized shopping data can be collected and used.
Economic: AI enabled personalization lowers customer acquisition costs and can increase conversion rates in fashion e commerce.
Social: Consumers increasingly expect socially engaging, editor curated shopping experiences with shareable picks and peer influence.
Technological: AI personalization, recommendation systems, and scalable cloud infrastructure enable dynamic, per user shopping narratives.
Legal: Compliance with data protection laws (e.g., consent for behavioral data) shapes how personalization is implemented.
Environmental: Platform level efficiency reduces redundant inventory exploration, potentially lowering energy use per shopping session; broader impact depends on brand supply chains.
Jobs to be done framework
What problem does this trend help solve?
Help customers quickly find fashion items that match their unique style, size, and budget within a single, engaging platform.What workaround existed before?
Browsing multiple brand sites or marketplaces with generic search filters and limited personalized recommendations.What outcome matters most?
Speed and certainty in finding items that fit personal taste and size with a pleasant, social shopping experience.Consumer Trend canvas
Basic Need: Efficient, enjoyable fashion discovery tailored to individual taste.
Drivers of Change: AI powered personalization, social shopping elements, and demand for seamless omnichannel experiences.
Emerging Consumer Needs: Accurate size guidance, inclusive brand partnerships, and more engaging shopping interactions.
New Consumer Expectations: Instant, highly relevant recommendations; trust in platform curated selections; easy sharing with peers.
Inspirations / Signals: Early AI commerce case studies; acquisition activity; growth in social commerce features.
Innovations Emerging: Individualized shopping feeds; cross brand catalogs; social collaboration in shopping.
Companies to watch
- Pinterest, Inc. - Acquired The Yes in 2022; integrated AI powered shopping capabilities into its platform.
- THE YES - AI powered shopping platform for women's fashion; acquired by Pinterest in 2022; original model focused on personalized AI feeds.
- Daydream - Founded by former The Yes cofounder; AI powered fashion shopping platform exploring conversational search and personalization.