Latest news with #BernadetteNixon
Forbes
13-07-2025
- Business
- Forbes
Algolia Tops Google In Product Search — Windsurf May Not Help Much
Gartner rates privately-held Algolia ahead of Google in the $56 billion market for search and product discovery. With Alphabet stock down this year, investors should be worried. GERMANY - 2024/09/21: In this photo illustration, a mobile phone with the website of ai search ... More engine company Algolia Inc. is seen in front of business logo. (Photo Illustration by Timon Schneider/SOPA Images/LightRocket via Getty Images) SOPA Images/LightRocket via Getty Images Key Facts The market for digital commerce search reached $56.5 billion in 2024 and is forecast to grow at a 12.6% compound annual rate to $185.7 billion in 2033, reports Data Horizon Research . Algolia's customer base has grown at a 21% average annual rate to 18,000, according to my July 10 interview with Algolia CEO Bernadette Nixon. Google — shares of which have lost 5% of their value in 2025 — is confident in the strength of its product discovery search service, according to a Google company release. Gartner rates privately-held San Francisco-based Algolia ahead of Google according to an Algolia company release. Google's spent $2.4 billion to license Windsurf AI coding technology, according to CNBC . That may not be enough for Google to surpass Algolia. Google shares have lost value in 2025. That's because the search giant — which developed the core transformer concept underlying generative AI, according to my book, Brain Rush — is struggling to catch up with ChatGPT when it comes to commercializing its idea. Is the drop in Google stock a buying opportunity. The answer depends on whether Google can keep its search business relevant. "The market will need to see fundamental evidence that Google search is indeed going to be more durable than currently appreciated," Morgan Stanley analyst Brian Nowak wrote in a report featured by Investor's Business Daily . If rivals such as ChatGPT, Perplexity, and Meta AI better deploy generative AI to cash in on advertising and improved e-commerce and travel verticals, Google's stock could keep dropping, noted Nowak. For Google bulls, I have bad news: Algolia is clearly ahead of Google in those two verticals where search and product discovery services are critical. If you have ever searched for a product on an e-commerce, you have direct experience with . While this market seems like a natural for Google, In 2018, I was surprised to learn Google had abandoned the business of helping consumers search through a company's online product catalog, noted my October 2018 Forbes post. Google was good at bringing users to a website but once there, customers relied on the websites' own search functions to find products. Some companies "build their own engines; others use open-source software, such as Elasticsearch,' the Economist reported. At the time, Algolia — founded in Paris in 2012 — was rapidly taking a piece of that pie by supplying a service that "hunts the client's website and swiftly offers consumers relevant results," added the Economist . Since then Google has entered this market and this year was deemed a leader in Gartner's Magic Quadrant for vision and ability to execute. However, within that elite group of leaders, Algolia was the leader of the pack. Read on for why this market is significant and why I do not think Google is doing enough to overtake Algolia. I requested comment from Google and will update this post if I receive a reply. While analysts use many ways to describe the digital commerce search industry, they agree the industry is growing fast and will become far larger in the next decade. The industry's goal is to understand consumers' needs and recommend the products that best satisfy those needs. Since 2018, the most significant development propelling growth has been the use of AI to enhance consumer experiences, increase sales, and boost engagement, according to SuperAGI . AI-driven recommendation engines can boost customer loyalty, average order size and the lifetime value of a customer. For example, 71% of consumers are more likely to return to a website offering personalized experiences. Moreover, such systems suggest complementary products — thereby increasing average order value by 10% to 15%, reported SuperAGI . Algolia's Strategy, Performance, And Prospects Algolia — founded in Paris and now headquartered in San Francisco — appears to be riding this growth wave. The company provides an AI-native search and discovery platform to enable brands such as PetSmart, Best Buy, Chewy, Twitch, Stripe, and Under Armour to deliver fast, relevant, and personalized search experiences, according to an Algolia release. Algolia's search-as-a-service solution uses AI recommendations, NeuralSearch, and real-time personalization to boosts user engagement and increase conversion rates, the release added. Algolia has added many customers in the last five years. 'When I joined Algolia we had less than 7,000 customers, now we have 18,000,' Nixon told me. 'We process two billion transactions per year and have millions of developers on our platform.' Algolia's growth can be attributed to its ability to satisfy e-commerce search customers' need for reliable performance at scale. 'We provide five nine's reliability which means only 26 seconds of downtime per month,' she said. 'Reliability is really important and it is difficult to do when operating st scale.' Algolia has repeatedly introduced meaningful innovations. 'We disrupted the market three times and we are about to do it a fourth,' Nixon explained. Instead of relying on preexisting search software such as Lucene, Algolia's search was built from scratch to work on mobile. Next, the company introduced search as a service and charged customers based on the number of searches — with the price per search declining with the number of searches. Finally, in 2023, Algolia introduced hybrid search — 'combining keyword and natural language search incorporating large language models,' she told me. Algolia is most excited about agentic AI — which will enable consumers to take action towards a goal. The company uses Anthropic's Model Context Protocol — which allows AI agents to access Algolia's search, analytics, recommendations, and index configuration APIs. 'AI agents must be able to work across walled gardens to traverse a company's back-end seamlessly to retrieve data,' she said. 'To that end, we have partnered with Salesforce Commerce Cloud and Adobe Adobe Experience Manager.' Nixon is also excited about how much consumers' use of ChatGPT to search for products is adding to e-commerce providers' web traffic. ' Adobe Analytics has found generative AI is giving retailers and banks 1,200% traffic increases while travel sites are seeing 1,700% increases,' she told me. 'When people come to a retailer's site they bounce 23% less frequently and look at 12% more pages per visit.' Algolia also provides personalized digital shopping guides — say, for Mother's Day and Valentine's Day targeted towards various lifestyles. 'In beta test, we have 73 shopping guides already,' she concluded. Google's Product Search Strategy, Performance And Prospects Google's offerings — notably Google Ads and Vertex AI Search for Commerce — can boost retailer revenues in three ways: Driving traffic and sales via ads. Google Ads increase brand revenue through ads on Google Search and YouTube aimed at specific audiences and keywords, according to a Google release . Google Ads increase brand revenue through ads on Google Search and YouTube aimed at specific audiences and keywords, according to a . Enhancing discovery and personalization. Google Vertex AI Search for Commerce uses real-time back and forth conversation using Gemini models and deploys image or text-and-image search to match recommendations to each consumer's search and purchase behavior, Nimstrata wrote. Google Vertex AI Search for Commerce uses real-time back and forth conversation using Gemini models and deploys image or text-and-image search to match recommendations to each consumer's search and purchase behavior, wrote. Measuring ad effectiveness: Google Brand Lift and Search Lift tools allow brands to measure brand awareness, consideration, and user search behavior to optimize ad budgets, LYFE Marketing noted. What Gartner's Magic Quadrant Says About Algolia And Google In July 2025, Gartner ranked Google and Algolia as Magic Quadrant for Search and Product Discovery leaders based on their completeness of vision and ability to execute. Algolia is the leader among leaders — prevailing over Google. Algolia is proud of Gartner's recognition. 'This is the second year we have been a leader in the Gartner Magic Quadrant for Search and Product Discovery,' Nixon told me. 'We are up and to the right in the leader box which makes us the best in the industry for vision and ability to execute. How? We want to make search easy for the masses. We wanted to be massively scalable in the enterprise. We solve the search puzzle for the masses.' Google was happy to be an MQ leader. 'We believe this recognition affirms Google's evolving commitment to delivering high ROI-generating product discovery, through the use of AI in relevance, ranking, and personalization,' noted Google Cloud AI Director, Product Management in a July 8 company release. Will Google Prevail Over Algolia In Agentic Ai? Algolia is ahead of Google in applying agentic AI for search and product discovery. While Google has not yet launched such a service, on July 11 the search giant acquired executive talent and intellectual property from Windsurf — a leader in agentic AI, noted CNBC . Algolia's MCP Server — launched in June 2025 — enables LLMs and autonomous agents to work together to help consumers buy what they need more quickly. For example, Algolia's agentic AI service can help consumers book a Mediterranean cruise. By retrieving relevant consumer information from platforms such as Adobe and Salesforce. For example, Algolia agentic AI service can recommend and book a Mediterranean cruise based on each guest's chosen destinations, travel history, and other preferences — in milliseconds, according to a company release. 'This isn't about showing off what agents could do,' Nixon said. 'It's about showing what they can do right now with a powerful user experience, if they have the right layer of intelligence underneath. That's where Algolia fits.' Meanwhile, Google is currently experimenting with agentic AI for travel. Google's 'AI Mode' will be able to 'plan full itineraries, remember context, and keep users within the AI interface — even for booking,' noted 'Google's Project Mariner' will enable 'AI to take actions online -- like booking a hotel or tracking flight prices.' Google stock is 12% undervalued based on the average price target of 37 Wall Street analysts, according to TipRank . If Algolia's lead over Google in search and product discovery is any indication, those analysts could be too optimistic.
Yahoo
08-07-2025
- Business
- Yahoo
Algolia Named a Leader in 2025 Gartner® Magic Quadrant™ for Search and Product Discovery
SAN FRANCISCO, July 08, 2025--(BUSINESS WIRE)--Algolia, the AI-native search and discovery platform trusted by 18,000 businesses and millions of developers worldwide, today announced it has been named a Leader in the 2025 Gartner® Magic Quadrant™ for Search and Product Discovery. Gartner noted "Leaders demonstrate the ability to provide a depth and breadth of functionality. They deliver capabilities across multiple industries and business models that can scale up to support large search volumes. They provide sales and support services both directly and through an ecosystem of application, service and integration partners. They innovate, typically by means of technology updates, new products and product functionality, investments inside and outside core S&PD, and programs that improve customers' ability to succeed. Leaders tend to be mature in a market, and also have financial, technical and organizational viability, and consistently feature in Gartner clients' evaluations of vendors. They often set the competitive benchmark against which other vendors measure themselves." Algolia leverages cutting-edge Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) to understand the intent behind search queries and improve relevancy. By understanding both context and words, Algolia helps businesses across diverse verticals increase customer loyalty, reduce manual upkeep, and meet business goals. Bernadette Nixon, CEO of Algolia said: "We believe this recognition by Gartner is a testament to our vision and passion for delivering value and results for our customers. The other thing we're excited about at the moment is the power of agentic AI powered by Algolia, where software powered by language models is no longer limited to answering questions, but can autonomously make decisions and take actions to support business goals." Algolia's recently announced Model Context Protocol (MCP) Server is the first proof point in a long-term roadmap aimed at positioning Algolia as both the retrieval layer for agents and a trusted foundation for agent-oriented applications. AI-First Platform Built for Scale Algolia's API-first platform is cloud agnostic and runs on a multi-cloud infrastructure (AWS, Azure, GCP) and includes: AI Search – Real-time semantic and keyword search with context awareness AI Browse – Personalized category navigation powered by intent signals AI Recommendations – Behavior- and vector-based suggestions for discovery Merchandising Studio – Low-code tools for business users to guide AI behavior Analytics – Action-oriented insights like Next Best Actions for ongoing optimization With support for over 60 languages out of the box, Algolia enables rapid, multi-market rollout with no additional tuning required. Innovation Spotlight: Agentic AI & Generative AI In the past six months, Algolia launched several major AI-driven advancements: Context-Aware Retrieval for the Agentic era – A breakthrough in autonomous decisioning, enabling the search engine to act on user intent, adapt in real-time, and self-optimize — from auto-generating synonyms to launching new workflows Intelligent Fashion Solution – A bold, fashion-first innovation bringing AI-powered capabilities to every layer of the online retail experience Smart Groups – AI-powered curation and automation for content and merchandising teams AI-Ranking – Next generation ranking comprising Advanced Dynamic Reranking, Multi-Signal Ranking, and Dynamic Reranking for revenue Shopping Guides – A Generative AI tool for elevating the online shopping experience These innovations build on Algolia's mission to make AI-native Search and Discovery the most powerful lever in the modern digital experience stack — for both B2C and B2B brands. Platform Adoption and Ecosystem Algolia serves thousands of customers globally across retail, media, travel, SaaS, and financial services. It supports midmarket and enterprise clients with a robust partner ecosystem, developer tooling, and transparent pricing, including a free tier for developers managing up to 1 million SKUs. Gartner Magic Quadrant research methodology provides a graphical competitive positioning of four types of technology providers in fast-growing markets: Leaders, Visionaries, Niche Players and Challengers. Bernadette Nixon added: "We consider Algolia's position as a Magic Quadrant Leader validates the strength of our AI architecture—from vector and hybrid search to agentic workflows and GenAI capabilities. We've built a platform engineered for speed, scale, and precision—because relevance at millisecond latency isn't optional. It's expected." From Algolia's perspective, at the core of its positioning lies its unmatched data footprint, AI-first architecture, and proven impact across conversion, cross-sell, user engagement, ad performance, and order value applications. To learn why 18,000+ companies trust Algolia's industry-leading AI, experience Algolia AI Search first-hand here or request a demo. Source: Gartner, "Magic Quadrant for Search and Product Discovery," Mike Lowndes, Aditya Vasudevan, Sandy Shen, Noam Dorros, June 25, 2025. Gartner DisclaimerGartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. About AlgoliaAlgolia is a leading provider of AI search solutions, serving over 18,000 businesses and 500,000 developers globally. Renowned for its user-friendly API-First platform and the fastest AI search technology, Algolia is the largest hosted search engine, trusted by businesses and developers for 1.75 trillion searches per year. Backed by a decade of innovation, expertise, and growth, Algolia continuously redefines the search landscape with its commitment to user-friendly solutions, significant scalability, and unmatched speed. Learn more: View source version on Contacts Audrey Surettealgolia@ Error al recuperar los datos Inicia sesión para acceder a tu cartera de valores Error al recuperar los datos Error al recuperar los datos Error al recuperar los datos Error al recuperar los datos
Business Wire
08-07-2025
- Business
- Business Wire
Algolia Named a Leader in 2025 Gartner ® Magic Quadrant
SAN FRANCISCO--(BUSINESS WIRE)-- Algolia, the AI-native search and discovery platform trusted by 18,000 businesses and millions of developers worldwide, today announced it has been named a Leader in the 202 5 Gartner® Magic Quadrant™ for Search and Product Discovery. Gartner noted 'Leaders demonstrate the ability to provide a depth and breadth of functionality. They deliver capabilities across multiple industries and business models that can scale up to support large search volumes. They provide sales and support services both directly and through an ecosystem of application, service and integration partners. They innovate, typically by means of technology updates, new products and product functionality, investments inside and outside core S&PD, and programs that improve customers' ability to succeed. Leaders tend to be mature in a market, and also have financial, technical and organizational viability, and consistently feature in Gartner clients' evaluations of vendors. They often set the competitive benchmark against which other vendors measure themselves.' Algolia leverages cutting-edge Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) to understand the intent behind search queries and improve relevancy. By understanding both context and words, Algolia helps businesses across diverse verticals increase customer loyalty, reduce manual upkeep, and meet business goals. Bernadette Nixon, CEO of Algolia said: 'We believe this recognition by Gartner is a testament to our vision and passion for delivering value and results for our customers. The other thing we're excited about at the moment is the power of agentic AI powered by Algolia, where software powered by language models is no longer limited to answering questions, but can autonomously make decisions and take actions to support business goals.' Algolia's recently announced Model Context Protocol (MCP) Server is the first proof point in a long-term roadmap aimed at positioning Algolia as both the retrieval layer for agents and a trusted foundation for agent-oriented applications. AI-First Platform Built for Scale Algolia's API-first platform is cloud agnostic and runs on a multi-cloud infrastructure (AWS, Azure, GCP) and includes: AI Search – Real-time semantic and keyword search with context awareness AI Browse – Personalized category navigation powered by intent signals AI Recommendations – Behavior- and vector-based suggestions for discovery Merchandising Studio – Low-code tools for business users to guide AI behavior Analytics – Action-oriented insights like Next Best Actions for ongoing optimization With support for over 60 languages out of the box, Algolia enables rapid, multi-market rollout with no additional tuning required. Innovation Spotlight: Agentic AI & Generative AI In the past six months, Algolia launched several major AI-driven advancements: Context-Aware Retrieval for the Agentic era – A breakthrough in autonomous decisioning, enabling the search engine to act on user intent, adapt in real-time, and self-optimize — from auto-generating synonyms to launching new workflows Intelligent Fashion Solution – A bold, fashion-first innovation bringing AI-powered capabilities to every layer of the online retail experience Smart Groups – AI-powered curation and automation for content and merchandising teams AI-Ranking – Next generation ranking comprising Advanced Dynamic Reranking, Multi-Signal Ranking, and Dynamic Reranking for revenue Shopping Guides – A Generative AI tool for elevating the online shopping experience These innovations build on Algolia's mission to make AI-native Search and Discovery the most powerful lever in the modern digital experience stack — for both B2C and B2B brands. Platform Adoption and Ecosystem Algolia serves thousands of customers globally across retail, media, travel, SaaS, and financial services. It supports midmarket and enterprise clients with a robust partner ecosystem, developer tooling, and transparent pricing, including a free tier for developers managing up to 1 million SKUs. Gartner Magic Quadrant research methodology provides a graphical competitive positioning of four types of technology providers in fast-growing markets: Leaders, Visionaries, Niche Players and Challengers. Bernadette Nixon added: 'We consider Algolia's position as a Magic Quadrant Leader validates the strength of our AI architecture—from vector and hybrid search to agentic workflows and GenAI capabilities. We've built a platform engineered for speed, scale, and precision—because relevance at millisecond latency isn't optional. It's expected.' From Algolia's perspective, at the core of its positioning lies its unmatched data footprint, AI-first architecture, and proven impact across conversion, cross-sell, user engagement, ad performance, and order value applications. To learn why 18,000+ companies trust Algolia's industry-leading AI, experience Algolia AI Search first-hand here or request a demo. Source: Gartner, " Magic Quadrant for Search and Product Discovery," Mike Lowndes, Aditya Vasudevan, Sandy Shen, Noam Dorros, June 25, 2025. Gartner Disclaimer Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. About Algolia Algolia is a leading provider of AI search solutions, serving over 18,000 businesses and 500,000 developers globally. Renowned for its user-friendly API-First platform and the fastest AI search technology, Algolia is the largest hosted search engine, trusted by businesses and developers for 1.75 trillion searches per year. Backed by a decade of innovation, expertise, and growth, Algolia continuously redefines the search landscape with its commitment to user-friendly solutions, significant scalability, and unmatched speed. Learn more:
Yahoo
02-06-2025
- Business
- Yahoo
Algolia Redefines Online Fashion Retail with the Next Generation of Its Intelligent Fashion Solution
Purpose-built AI innovations deliver deeply personal, stylishly curated shopping experiences for modern fashion consumers SAN FRANCISCO, June 02, 2025--(BUSINESS WIRE)--Today, Algolia, the AI-native search and discovery platform used by over 18,000 businesses, unveiled a significant evolution of its Intelligent Fashion Solution, bringing bold, fashion-first innovation to every layer of the online retail experience. The latest innovative features—Real-Time Personalization, AI Ranking, Smart Groups, Collections, and Generative AI Shopping Guides—are designed to reflect how people shop for fashion: with intent, emotion, and individuality. These capabilities, powered by Algolia's deep expertise in AI search and leading proprietary Large Language Models (LLMs), help fashion brands create beautifully intuitive journeys that mirror the artistry of the products they sell. Bernadette Nixon, Chief Executive Officer, Algolia noted: "In fashion, every click should feel like a curated experience. These innovations aren't just smart—they're designed to elevate the feeling of shopping for fashion online, from the first search to the final purchase." Algolia brings real-time AI stylists to fashion retail. Algolia is redefining the future of digital fashion with a new AI agent experience that brings real-time personalization to life. Integrated with platforms like Adobe Experience Manager and Salesforce Commerce Cloud, Algolia enables fashion retailers to deploy AI agents that understand shopper intent, access live product availability, and deliver curated, on-brand experiences in milliseconds. Nixon added: "Imagine a digital stylist that instantly pulls looks based on a shopper's preferences, past purchases, and real-time inventory—no more outdated recommendations or dead-end searches. By acting as the connective intelligence layer between customer data and front-end AI agents, Algolia empowers brands to create shopping experiences that feel as tailored and responsive as an in-store stylist. For fashion retailers looking to stay ahead, this isn't future tech—it's what's possible now." Real-Time Personalization: Every style journey starts somewhere. We make sure it starts with the fashion shopper. Fashion is personal—even on a first visit. Algolia's Real-Time Personalization will instantly read a shopper's style intent and dynamically adjust product recommendations and search results to match. Whether a consumer is browsing for bold streetwear or timeless minimalism, the experience evolves in real time—turning inspiration into engagement and casual interest into confident purchase decisions. AI Ranking: Not just what's popular—what's perfect for your customer. Fashion isn't one-size-fits-all, and neither is search. Algolia's AI Ranking allows retailers to prioritize what matters most: style relevance, current trends, and brand vision. By analyzing over 20 fashion-focused signals—from user behavior to seasonal timing—search results are continuously re-ranked to highlight the right look, at the right time, for the right customer. Algolia's AI Ranking comprises three powerful capabilities: Advanced Dynamic Re-Ranking keeps collections fresh and desirable, updating results every hour to reflect what's trending. Multi-Signal Ranking balances fashion relevance with business goals—whether that's showcasing high-margin items or driving discovery of new designers. Revenue-Based Ranking gives merchandisers complete control to align product visibility with strategic fashion campaigns. Collections: Curated fashion stories that inspire, not overwhelm. Collections are more than categories—they're digital lookbooks. Algolia's Collections organize vast product inventories into themed, editorial-style groupings like "Vacation Ready," "Back-to-Work Essentials," or "Evening Luxe." The result: a shopping experience that feels styled, not searched. For fashion shoppers, it's effortless. For brands, it's a scalable way to express identity through storytelling. Generative AI Shopping Guides: From inspiration to outfit—guided by style, powered by AI. Algolia's Generative AI Shopping Guides act like the perfect in-store stylist—asking the right questions, understanding needs, and suggesting complete, trend-conscious looks. Whether someone's shopping for a winter wedding or building a summer capsule wardrobe, the guide offers smart, conversational advice that builds trust, speeds decision-making, and celebrates personal style. With detailed guidance on fit, fabric, occasion, and pairing, Algolia's Shopping Guides can reduce returns and create more satisfied, fashion-forward shoppers—especially on mobile, where inspiration often strikes first. Smart Groups: Fashion merchandising, elevated. No dev team required. Algolia's Smart Groups put the power of product curation into the hands of fashion merchandisers. With an intuitive dashboard and AI-driven logic, fashion teams can create dynamic displays of products—tailored by style, color palette, or campaign theme—without needing to manually pin every item. From launching new collections to responding to microtrends, Smart Groups make fashion merchandising agile, strategic, and beautifully simple. Retail Media: The future of monetized retail merchandising. Looking ahead, Algolia will empower retailers to monetize prime positions within their product grids as valuable Retail Media spaces. As the market for Retail Media continues to expand, it is projected to account for nearly a quarter of all US media investment by 2028, according to Statista. By leveraging Smart Groups, retailers have the ability to honor brand agreements in which, for instance, they can ensure competing products do not appear together or must be in a specified position in search results, thus offering brands enhanced visibility and strategic placement opportunities. Trusted by fashion's elite. Algolia's Intelligent Fashion Solution is already driving performance for some of the world's most iconic fashion brands, powering experiences that are as refined and inspiring as the products they sell. Retailers report up to 30% higher conversions and 25% increases in shopper engagement. Nixon said: "Algolia is proud to power the digital experiences of 75% of the world's top fashion houses, including several well-known, iconic brands. These brand leaders trust us to deliver the speed, style, and sophistication their customers expect, and we're honored to help them set the standard for what modern fashion eCommerce should be—where technology meets taste, and search becomes style." Algolia attends Shoptalk Europe 2025 (Barcelona). Algolia will be present at Shoptalk 2025 in Barcelona (June 2-4) at booth C130. Visitors to Algolia's booth can enjoy demos of the Intelligent Fashion Solution, Algolia's GenAI Shopping Guides, and many other exciting products, as well as theater presentations to experience the power of Algolia firsthand. About Algolia Algolia is a leading provider of AI search solutions, serving over 18,000 businesses and 500,000 developers globally. Renowned for its user-friendly API-First platform and the fastest AI search technology, Algolia is the largest hosted search engine, trusted by businesses and developers for 1.75 trillion searches per year. Backed by a decade of innovation, expertise, and growth, Algolia continuously redefines the search landscape with its commitment to user-friendly solutions, significant scalability, and unmatched speed. Learn more: View source version on Contacts Audrey Surettealgolia@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Business Wire
02-06-2025
- Business
- Business Wire
Algolia Redefines Online Fashion Retail with the Next Generation of Its Intelligent Fashion Solution
SAN FRANCISCO--(BUSINESS WIRE)--Today, Algolia, the AI-native search and discovery platform used by over 18,000 businesses, unveiled a significant evolution of its Intelligent Fashion Solution, bringing bold, fashion-first innovation to every layer of the online retail experience. The latest innovative features—Real-Time Personalization, AI Ranking, Smart Groups, Collections, and Generative AI Shopping Guides—are designed to reflect how people shop for fashion: with intent, emotion, and individuality. These capabilities, powered by Algolia's deep expertise in AI search and leading proprietary Large Language Models (LLMs), help fashion brands create beautifully intuitive journeys that mirror the artistry of the products they sell. Bernadette Nixon, Chief Executive Officer, Algolia noted: 'In fashion, every click should feel like a curated experience. These innovations aren't just smart—they're designed to elevate the feeling of shopping for fashion online, from the first search to the final purchase.' Algolia brings real-time AI stylists to fashion retail. Algolia is redefining the future of digital fashion with a new AI agent experience that brings real-time personalization to life. Integrated with platforms like Adobe Experience Manager and Salesforce Commerce Cloud, Algolia enables fashion retailers to deploy AI agents that understand shopper intent, access live product availability, and deliver curated, on-brand experiences in milliseconds. Nixon added: 'Imagine a digital stylist that instantly pulls looks based on a shopper's preferences, past purchases, and real-time inventory—no more outdated recommendations or dead-end searches. By acting as the connective intelligence layer between customer data and front-end AI agents, Algolia empowers brands to create shopping experiences that feel as tailored and responsive as an in-store stylist. For fashion retailers looking to stay ahead, this isn't future tech—it's what's possible now.' Real-Time Personalization: Every style journey starts somewhere. We make sure it starts with the fashion shopper. Fashion is personal—even on a first visit. Algolia's Real-Time Personalization will instantly read a shopper's style intent and dynamically adjust product recommendations and search results to match. Whether a consumer is browsing for bold streetwear or timeless minimalism, the experience evolves in real time—turning inspiration into engagement and casual interest into confident purchase decisions. AI Ranking: Not just what's popular—what's perfect for your customer. Fashion isn't one-size-fits-all, and neither is search. Algolia's AI Ranking allows retailers to prioritize what matters most: style relevance, current trends, and brand vision. By analyzing over 20 fashion-focused signals—from user behavior to seasonal timing—search results are continuously re-ranked to highlight the right look, at the right time, for the right customer. Algolia's AI Ranking comprises three powerful capabilities: Advanced Dynamic Re-Ranking keeps collections fresh and desirable, updating results every hour to reflect what's trending. Multi-Signal Ranking balances fashion relevance with business goals—whether that's showcasing high-margin items or driving discovery of new designers. Revenue-Based Ranking gives merchandisers complete control to align product visibility with strategic fashion campaigns. Collections: Curated fashion stories that inspire, not overwhelm. Collections are more than categories—they're digital lookbooks. Algolia's Collections organize vast product inventories into themed, editorial-style groupings like 'Vacation Ready,' 'Back-to-Work Essentials,' or 'Evening Luxe.' The result: a shopping experience that feels styled, not searched. For fashion shoppers, it's effortless. For brands, it's a scalable way to express identity through storytelling. Generative AI Shopping Guides: From inspiration to outfit—guided by style, powered by AI. Algolia's Generative AI Shopping Guides act like the perfect in-store stylist—asking the right questions, understanding needs, and suggesting complete, trend-conscious looks. Whether someone's shopping for a winter wedding or building a summer capsule wardrobe, the guide offers smart, conversational advice that builds trust, speeds decision-making, and celebrates personal style. With detailed guidance on fit, fabric, occasion, and pairing, Algolia's Shopping Guides can reduce returns and create more satisfied, fashion-forward shoppers—especially on mobile, where inspiration often strikes first. Smart Groups: Fashion merchandising, elevated. No dev team required. Algolia's Smart Groups put the power of product curation into the hands of fashion merchandisers. With an intuitive dashboard and AI-driven logic, fashion teams can create dynamic displays of products—tailored by style, color palette, or campaign theme—without needing to manually pin every item. From launching new collections to responding to microtrends, Smart Groups make fashion merchandising agile, strategic, and beautifully simple. Retail Media: The future of monetized retail merchandising. Looking ahead, Algolia will empower retailers to monetize prime positions within their product grids as valuable Retail Media spaces. As the market for Retail Media continues to expand, it is projected to account for nearly a quarter of all US media investment by 2028, according to Statista. By leveraging Smart Groups, retailers have the ability to honor brand agreements in which, for instance, they can ensure competing products do not appear together or must be in a specified position in search results, thus offering brands enhanced visibility and strategic placement opportunities. Trusted by fashion's elite. Algolia's Intelligent Fashion Solution is already driving performance for some of the world's most iconic fashion brands, powering experiences that are as refined and inspiring as the products they sell. Retailers report up to 30% higher conversions and 25% increases in shopper engagement. Nixon said: 'Algolia is proud to power the digital experiences of 75% of the world's top fashion houses, including several well-known, iconic brands. These brand leaders trust us to deliver the speed, style, and sophistication their customers expect, and we're honored to help them set the standard for what modern fashion eCommerce should be—where technology meets taste, and search becomes style.' Algolia attends Shoptalk Europe 2025 (Barcelona). Algolia will be present at Shoptalk 2025 in Barcelona (June 2-4) at booth C130. Visitors to Algolia's booth can enjoy demos of the Intelligent Fashion Solution, Algolia's GenAI Shopping Guides, and many other exciting products, as well as theater presentations to experience the power of Algolia firsthand. About Algolia Algolia is a leading provider of AI search solutions, serving over 18,000 businesses and 500,000 developers globally. Renowned for its user-friendly API-First platform and the fastest AI search technology, Algolia is the largest hosted search engine, trusted by businesses and developers for 1.75 trillion searches per year. Backed by a decade of innovation, expertise, and growth, Algolia continuously redefines the search landscape with its commitment to user-friendly solutions, significant scalability, and unmatched speed. Learn more:
