How Sary used Algolia to improve search & better understand its customers
Find out how in addition to improving performance, Algolia has helped change Sary’s ability to understand and better serve its customers.
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Find out how in addition to improving performance, Algolia has helped change Sary’s ability to understand and better serve its customers.
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Read this ebook on personalized shopping to learn how to guide your customers to find exactly what they are searching for and encourage greater discovery.
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Co-op saw 6% bigger baskets from product recommendations
Read their story ▷Zeeman deployed Algolia in record time and hasn’t looked back, iterating, and improving on Search to the benefit of its customers, its e-commerce and merchandising teams — and its revenue.
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Noski Noski boosted their online store in 1 month
See their story ▷Find out why they chose Algolia for search and recommendations, and how the platform’s feature richness started to quickly pay off for the popular Dutch wholesaler.
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After adopting headless e-commerce, GOBI Cashmere's web dev team knew they needed a more robust search solution that not only integrated with Shopify Plus but also brought benefits above and beyond.
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Vape Superstore needs to engage with consumers on a personal level. Algolia Search, Recommend, Personalization and AI Reranking has helped them do that, increasing relevancy and ultimately revenue.
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During a migration for their site, Jomashop adopted Algolia, building a unique set of tools leveraging the platform and its Magento integration. The result: enhanced experiences and increased sales.
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A look at how retailers are preparing early for the winter sales season.
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Webinar showcasing Algolia Recommend’s latest product updates that connect users with the most relevant, actionable recommendations.
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Today we have an ability to search smarter with API-driven machine intelligence designed to fill our carts and warm our hearts.
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With Algolia Recommend, developers can use a simple and flexible API to build machine learning-powered recommendations on their company’s digital storefronts using as few as 6 lines of code.
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Gymshark turned to Algolia to improve product recommendations on its site - driving clicks and conversions from new and old customers while handling extreme Black Friday traffic.
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This webinar focuses on Gymshark's challenges to be ready for peak seasons and their experiment with Algolia Recommend during during Black Friday '21.
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Auto Mercado looked to improve the quality and speed of its omnichannel e-commerce experience with the help of Algolia.
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Algolia’s search-as-a-service via APIs simplifies search and recommendation tasks, making the experience faster and more relevant to users, while transforming the way retailers run their businesses.
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With Algolia Recommend, developers can use a simple and flexible API to build machine learning powered recommendations on your company’s digital storefronts using as few as 6 lines of code.
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As one of the fastest growing fashion businesses, Gymshark made the move to headless commerce and best-in-class solutions like Algolia to avoid downtime and give customers what they’re looking for.
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Wanting to give its customers a bricks-and-mortar-like shopping experience and help them more easily explore its products, Polish toy store Noski Noski turned to Algolia Recommend.
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Co-op worked with Algolia to ramp up its store’s search capabilities to improve the customer experience and help overcome the product availability issues felt worldwide.
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Advanced search drives growth for Adobe commerce retailers (ex Magento)
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