Easily integrate Algolia into native apps with FlutterFlow
Algolia's advanced search capabilities pair seamlessly with iOS or Android Apps when using FlutterFlow. App development and search design ...
Sr. Developer Relations Engineer
Algolia's advanced search capabilities pair seamlessly with iOS or Android Apps when using FlutterFlow. App development and search design ...
Sr. Developer Relations Engineer
In the midst of the Black Friday shopping frenzy, Algolia soared to new heights, setting new records and delivering an ...
Chief Executive Officer and Board Member at Algolia
When was your last online shopping trip, and how did it go? For consumers, it’s becoming arguably tougher to ...
Senior Digital Marketing Manager, SEO
Have you put your blood, sweat, and tears into perfecting your online store, only to see your conversion rates stuck ...
Senior Digital Marketing Manager, SEO
“Hello, how can I help you today?” This has to be the most tired, but nevertheless tried-and-true ...
Search and Discovery writer
We are proud to announce that Algolia was named a leader in the IDC Marketscape in the Worldwide General-Purpose ...
VP Corporate Marketing
Twice a year, B2B Online brings together America’s leading manufacturers and distributors to uncover learnings and industry trends. This ...
Director, Sales Enablement & B2B Practice Leader
Generative AI and large language models (LLMs). These two cutting-edge AI technologies sound like totally different, incomparable things. One ...
Search and Discovery writer
ChatGPT, Bing, Bard, YouChat, DALL-E, Jasper…chances are good you’re leveraging some version of generative artificial intelligence on ...
Search and Discovery writer
Your users are spoiled. They’re used to Google’s refined and convenient search interface, so they have high expectations ...
Technical Writer
Imagine if, as your final exam for a computer science class, you had to create a real-world large language ...
Sr. SEO Web Digital Marketing Manager
What do you think of the OpenAI ChatGPT app and AI language models? There’s lots going on: GPT-3 ...
Search and Discovery writer
In the fast-paced and dynamic realm of digital merchandising, being reactive to customer trends has been the norm. In ...
Staff User Researcher
You’re at a dinner party when the conversation takes a computer-science-y turn. Have you tried ChatGPT? What ...
Sr. SEO Web Digital Marketing Manager
It’s the era of Big Data, and super-sized language models are the latest stars. When it comes to ...
Search and Discovery writer
Did you know that 86% of the global population uses a smartphone? The 7 billion devices connected to the Internet ...
Staff SME Business & Optimization - UI/UX
The Cloud Native Foundation is known for being the organization behind Kubernetes and many other Cloud Native tools. To foster ...
TL;DR Revamp your technical documentation search experience with DocSearch! Previously only available to open-source projects, we're excited ...
Senior Engineering Manager
Online shoppers love choice, but frequently face the paradox of choice — it can actually be harder to buy something when there are too many options. New AI solutions such as smarter search or personalization can improve the buyer’s journey immensely. These are two of the main topics that Algolia CTO, Sean Mullaney, discussed recently with Michael Krigsman on the CXOTalk podcast which is now available on YouTube or your preferred podcast app.
Topics covered by the speakers include:
Ecommerce businesses have wrestled with personalization and discovery for years. Companies such as Amazon, Netflix, and eBay were early adopters of AI and could afford to invest in the infrastructure and resources needed to capitalize on these technologies — Amazon launched its recommender platform back in 2003. However, the technology was out of reach for most businesses.
Twenty years later, everything has changed. Now, any company can leverage even more powerful technologies at a fraction of the cost. Whereas traditional search solutions could only match keywords exactly, new AI search understands intent and concepts. Shoppers will be able to input all kinds of queries — from symptoms to ideas – to get great results. For example, to a traditional search engine “milk chocolate” and “chocolate milk” are the same thing — just inverted words — but an AI search engine understands these are categorically different products.
Consumers are using longer, more complex search phrases today, in part driven by voice search technologies such as Google Home Dot or Amazon Alexa. Longer, more complex queries are sometimes described as the search long tail, which can represent as much as 70% of a retail website’s queries. AI with natural language processing and natural language understanding can work quite well now — even if searchers don’t use exact keywords.
Personalization also gets a boost with AI. Both search and personalization are able to leverage data faster than people. Both technologies improve over time. The queries, clicks, conversions, signups, and other event-driven data provides ongoing learning to improve results. Even single-session visitors can get personalized recommendations or personalized search results; using AI, the search and recommendation engine will know what products or queries are converting — so it can use that data to drive better results.
As companies adopt AI, they will want to rapidly experiment to determine which algorithms drive the best business outcomes. For example, Algolia has built-in A/B testing features to compare the outcomes of keyword-only vs AI search results, compare different AI algorithms, personalized vs non-personalized results, or any combination.
You can listen to the full podcast here: CXO podcast
VP Product Marketing
Powered by Algolia Recommend