Pinterest launches an experimental AI shopping app called ‘Ask Pinterest’
Pinterest has launched 'Ask Pinterest,' an experimental AI-powered shopping app that lets users seek recommendations and inspiration through a conversational interface.
Pinterest on Wednesday announced a new experimental app called “Ask Pinterest” that will allow the company to explore a more conversational approach to shopping and product discovery that could eventually find its way to the main Pinterest app. It also introduced other AI initiatives, including Pinterest Model Context Protocol (MCP), designed for advertisers running campaigns on Pinterest’s platform, and other AI ad tools.
The news comes just ahead of the adtech industry’s annual gathering at Cannes Lions, which is this year mainly focused on how AI can serve the needs of advertisers and marketers.
The “Ask Pinterest” online application gives the company another way to utilize its “Taste Graph” — its internal data mapping people to their interests and aesthetics. It will initially be available in limited access, the company said.
The AI-powered experience is designed to expand the visual discovery experience Pinterest is known for beyond the main app to a conversational, chatbot-like interface where consumers can ask questions using natural language to get more personalized recommendations and inspiration.
It also arrives as AI chatbots are increasingly competing with traditional search engines for consumers’ attention. Google has already put AI to work to help online shoppers find what they need, track prices, and check out. ChatGPT also experimented with agentic shopping , as have Meta , Shopify , and others.
Rather than turning itself into a source of product recommendations that other AI services could leverage through licensing deals, Pinterest has largely focused on using its own data to train AI models and power its AI products.
Plus, by making Ask Pinterest a standalone app, the company has a way to experiment with the technology without disrupting the main Pinterest experience.
The company explains that Ask Pinterest could work for more complex or multi-step queries that wouldn’t fit a traditional Pinterest search. For instance, you could use the app to ask for help planning a dinner party or furnishing a room over time. The idea, says Pinterest, is to test and explore how AI could better support people’s shopping experiences while retaining the user’s context across sessions.
Ask Pinterest can also leverage users’ own saved Pins and Boards to personalize its answers.
In time, these results will help Pinterest when building more AI-powered experiences for the company’s flagship app, the company believes.
Pinterest’s new app was announced alongside the updates aimed at marketers, including the introduction of an AI assistant, still in beta, in its Ads Manager in the U.S.
A new AI model, Performance+ creative, was also introduced globally to help advertisers pick between different ad creatives to find the one that’s likely to perform best each time the ad is shown. And the MCP infrastructure layer that Pinterest announced will allow advertisers to manage and monitor their campaigns using other third-party agentic tools in a standardized way.
In an announcement sharing the news, Pinterest’s Chief Business Officer, Lee Brown, gestured towards the changing nature of web search, remarking that, “the future of discovery won’t be driven by keywords alone. It will be shaped by context, taste, and trusted recommendations” — an area where Pinterest feels it has a “unique advantage,” Brown said.
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Pontos-chave
- A 'Ask Pinterest' pode redefinir a experiência de compra online ao priorizar interações conversacionais e personalizadas.
- A competição entre chatbots e mecanismos de busca está aumentando, criando oportunidades para inovações no comércio eletrônico no Brasil.
- O aplicativo independente permite testes de novas funcionalidades sem comprometer a experiência do usuário na plataforma principal.
Análise editorial
A introdução do aplicativo 'Ask Pinterest' representa um passo significativo para a empresa na exploração de interações mais personalizadas e conversacionais no comércio eletrônico. Para o setor de tecnologia brasileiro, isso pode sinalizar uma mudança nas expectativas dos consumidores em relação à experiência de compra online, onde a personalização e a interação em linguagem natural se tornam cada vez mais essenciais. O uso do 'Taste Graph' para alimentar recomendações personalizadas pode inspirar empresas locais a adotar abordagens semelhantes, utilizando dados internos para melhorar a experiência do usuário.
Além disso, a iniciativa ocorre em um momento em que a concorrência entre plataformas de busca e chatbots está se intensificando. O Brasil, com sua crescente penetração de internet e adoção de tecnologia, pode ver um aumento na demanda por soluções que integrem inteligência artificial em processos de compra. Isso pode estimular startups e empresas de tecnologia a desenvolverem suas próprias ferramentas de recomendação baseadas em IA, potencializando a inovação no mercado.
O fato de 'Ask Pinterest' ser um aplicativo independente também é uma estratégia inteligente, permitindo que a empresa teste novas funcionalidades sem comprometer a experiência do usuário em sua plataforma principal. Isso pode servir como um modelo para outras empresas que desejam experimentar novas tecnologias sem arriscar a base de usuários existente. O que será interessante observar é como o feedback dos usuários será incorporado para refinar a experiência e como isso pode influenciar futuras atualizações no aplicativo principal do Pinterest.
Por fim, a introdução de ferramentas de IA para anunciantes, como o Pinterest Model Context Protocol, pode ter um impacto significativo na forma como as campanhas publicitárias são conduzidas. Isso pode levar a uma maior eficácia nas campanhas, especialmente em um mercado como o brasileiro, onde a segmentação e a personalização são cruciais para o sucesso das estratégias de marketing digital.
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Fonte original:
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Este artigo foi curado e publicado pelo AIDaily como parte da nossa cobertura editorial sobre desenvolvimentos em inteligência artificial. O conteúdo é baseado na fonte original citada abaixo, enriquecido com contexto e análise editorial. Ferramentas automatizadas podem auxiliar tradução e estruturação inicial, mas a decisão de publicar, a revisão factual e o enquadramento de contexto seguem responsabilidade editorial.
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