What is ecommerce merchandising? Key components and best practices
A potential customer is about to land on the home page of your ecommerce platform, curious to see what cool ...
Search and Discovery writer
A potential customer is about to land on the home page of your ecommerce platform, curious to see what cool ...
Search and Discovery writer
By now, everyone’s had the opportunity to experiment with AI tools like ChatGPT or Midjourney and ponder their inner ...
Director, Product Marketing
Search has been around for a while, to the point that it is now considered a standard requirement in many ...
Senior Machine Learning Engineer
With the advent of artificial intelligence (AI) technologies enabling services such as Alexa, Google search, and self-driving cars, the ...
VP Corporate Marketing
It’s no secret that B2B (business-to-business) transactions have largely migrated online. According to Gartner, by 2025, 80 ...
Sr. SEO Web Digital Marketing Manager
Twice a year, B2B Online brings together industry leaders to discuss the trends affecting the B2B ecommerce industry. At the ...
Director of Product Marketing & Strategy
This is Part 2 of a series that dives into the transformational journey made by digital merchandising to drive positive ...
Benoit Reulier &
Reshma Iyer
Get ready for the ride: online shopping is about to be completely upended by AI. Over the past few years ...
Director, User Experience & UI Platform
Remember life before online shopping? When you had to actually leave the house for a brick-and-mortar store to ...
Search and Discovery writer
If you imagine pushing a virtual shopping cart down the aisles of an online store, or browsing items in an ...
Sr. SEO Web Digital Marketing Manager
Remember the world before the convenience of online commerce? Before the pandemic, before the proliferation of ecommerce sites, when the ...
Search and Discovery writer
Artificial intelligence (AI) is no longer just the stuff of scary futuristic movies; it’s recently burst into the headlines ...
Search and Discovery writer
Imagine you are the CTO of a company that has just undergone a massive decade long digital transformation. You’ve ...
CTO @Algolia
Did you know that the tiny search bar at the top of many ecommerce sites can offer an outsized return ...
Director, Digital Marketing
Artificial intelligence (AI) has quickly moved from hot topic to everyday life. Now, ecommerce businesses are beginning to clearly see ...
VP of Product
We couldn’t be more excited to announce the availability of our breakthrough product, Algolia NeuralSearch. The world has stepped ...
Chief Executive Officer and Board Member at Algolia
The ecommerce industry has experienced steady and reliable growth over the last 20 years (albeit interrupted briefly by a global ...
CTO @Algolia
As an ecommerce professional, you know the importance of providing a five-star search experience on your site or in ...
Sr. SEO Web Digital Marketing Manager
Jun 6th 2022 product
We’re excited to announce the launch of our Algolia Recommend Spring Release 2022. Algolia Recommend is an AI-based recommendations engine integrated with our Search and Discovery Platform that connects users with the most relevant, actionable recommendations.
From your home page, to category pages — from product pages through checkout — at every touchpoint and using any device, Algolia Recommend helps maximize your user engagement.
Read on to learn about what’s new in this release and to hear how other businesses have benefited from Algolia’s Search & Discovery Platform.
Within Algolia Recommend, from a single dashboard, merchandisers, digital content managers, or digital business leaders can choose the model that is right for them, deploy it, and then track the results. Algolia Recommend Spring Release 2022 includes the following new capabilities:
In addition to these new models and features, customers have already been seeing success with Algolia Recommend capabilities such as:
One of the most obvious use cases for Algolia Recommend is in an online retail or ecommerce setting, yet Recommend is beneficial in media, publications, and a wide variety of other settings. Whether you choose to integrate it into your homepage, product detail pages, or checkout experience, it can help users discover products that they might need and ensure that they have a delightful experience in the process.
Algolia customers like Gymshark, one of the largest sportswear retailers in the UK, have seen Recommend transform their business in the form of a 150% increase in order rate and a 32% increase in ‘Add to cart’ rate during Black Friday 2021.Other retailers like Noski Noski have utilized recommendations to ensure that the right product within their catalog of over 10,000 products finds the right users, at just the right time. Flaconi has increased their average order value (AOV) by 10% since implementing Recommend. Others like UK-based Co-op, publisher Android Authority, broadband internet provider Orange Romania, and others are utilizing Algolia’s platform to power their recommendations.
According to Claire Armstrong, Director of Digital Products, at Fender Musical Instruments Corporation:
“with Algolia Recommend, we are able to further promote a wide variety of our content, curriculum, and learning activities within ‘Fender Play’, the complete learning app for guitar bass and ukulele, all of which are supporting the next generation of players on their musical journey.”
Algolia customers are benefitting from Recommend capabilities in a variety of different use cases and industries beyond these examples, as well. Algolia is ready to power your recommendation needs.
Everything that we’re announcing as part of the Algolia Recommend Spring Release 2022 is available now. Want to see how Algolia Recommend can be implemented in as little as 4 days and start making an immediate impact on your business? Get a personalized demo today. Ready to start building? Sign up for free and get started with Algolia today.
If you’re an existing Algolia customer, implementing Recommend is as simple as introducing 6-lines of code to create a new carousel – learn more in our documentation. Reach out to your Customer Success Manager or contact us if you want to learn more.
Thanks for reading, spreading the word, and trying out Recommend!
VP Product Marketing
Powered by Algolia Recommend