AI Tech

Algolia Announces the Release of an AI-Based Recommendation API, Algolia Recommend

Algolia, the leading API platform for Dynamic Experiences, announced today the general availability of Algolia Recommend, a high-performance, AI-optimized API that speeds the development and execution of product recommendations across digital touchpoints.

The Vegan Kind, a provider of vegan subscription boxes, is all about assisting consumers in making the correct decisions by providing them with excellent options and recommendations while they explore. In addition, the Vegan Kind was able to display suggested products associated with the items seen after installing Algolia Recommend, boosting the potential for shopping cart growth.

Algolia Recommend uses machine learning models to surface the most relevant recommendations, offers, or suggestions for a shopper in milliseconds, using data from two sources: shopper behavior (the shoppers' actions throughout a website or app, including previous purchases) and product data (all product attributes contained in the product catalog, including product, description, availability, and price).

The API-first approach, front-end frameworks, and advanced documentation of Algolia Recommend ensure that it is easy to integrate and extremely adaptable. HiCart, the developer of a user-friendly, Lebanese marketplace enabling its members to have a smooth experience, was having trouble providing suggestions with their existing solution. HiCart integrated Algolia Recommend and went live in four days with as few as six lines of code. When consumers search for a particular item, other alternatives are now shown, giving customers more choices, a more satisfying experience, and a lower chance of abandoning their shopping cart.

Algolia Recommend boosts average order value (AOV) in online stores by expanding shopping carts and improving customer satisfaction. Businesses can quickly raise their average order value using Algolia Recommend's smart "related product" feature, which increases their ability to merchandise a wider variety of goods. As a result, they can provide highly relevant suggestions, showing a more profound knowledge of their customers and earning more loyalty in the process.

Algolia Recommend, which is now available, combines two of the most popular machine learning models for automatically delivering customized recommendations:

Related Products: This recommendation model helps businesses improve conversions and orders by analyzing items customers engage with (e.g., clicks, adds to cart, and purchases) throughout their sessions and recommending related products based on this data.

Frequently Bought Together: This recommendation model boosts AOV by upselling complementary products on the product page or shopping basket page based on what other consumers bought with that exact item during a single shopping session.

About Algolia
Algolia offers an API platform for Dynamic Experiences, allowing businesses to predict intent and provide outcomes. Algolia achieves this through an API-first approach that enables developers and business teams to surface relevant content when required — satisfying the demand for instant gratification and building and optimizing online experiences that improve online engagement, increase conversion rates, and enrich lifetime value to generate profitable growth. Algolia is used by over 10,000 companies, including Under Armour, Lacoste, Birchbox, Stripe, Slack, Medium, and Zendesk, to handle over 1.5 trillion search requests each year. Algolia's headquarters are in San Francisco, and the company has offices in Paris, London, Tokyo, New York, and Atlanta.

Spotlight

Other News
AI Tech

AI and Big Data Expo North America announces leading Speaker Lineup

TechEx Events | March 07, 2024

AI and Big Data Expo North America announces new speakers! SANTA CLARA, CALIFORNIA, UNITED STATES, February 26, 2024 /EINPresswire.com/ -- TheAI and Big Expo North America, the leading event for Enterprise AI, Machine Learning, Security, Ethical AI, Deep Learning, Data Ecosystems, and NLP, has announced a fresh cohort of distinguishedspeakersfor its upcoming conference at the Santa Clara Convention Center on June 5-6, 2024. Some of the top industry speakers set to take the stage are: - Sam Hamilton - Head of Data & AI – Visa - Dr Astha Purohit - Director - Product (Tech) Ops – Walmart - Noorddin Taj - Head of Architecture and Design of Intelligent Operations - BP - Temi Odesanya - Director - AI Governance Automation - Thomson Reuters - Katie Sanders - Assistant Vice President – Tech - Union Pacific Railroad - Prasanth Nandanuru – SVP - Wells Fargo - Rodney Brooks - Professor Emeritus - MIT These esteemed speakers bring a wealth of knowledge and expertise to an already impressive lineup, promising attendees a truly enlightening experience. In addition to the speakers, theAI and Big Data Expo North Americawill feature a series of presentations covering a diverse range of topics in AI and Big Data exploring the latest innovations, implementations and strategies across a range of industries. Attendees can expect to gain valuable insights and practical strategies from presentations such as: How Gen AI Positively Augments Workforce Capabilities Trends in Computer Vision: Applications, Datasets, and Models Getting to Production-Ready: Challenges and Best Practices for Deploying AI Ensuring Your AI is Responsible and Ethical Mitigating Bias and Promoting Fairness in AI Systems Security Challenges in the Era of Gen AI and Data Science AI for Good: Social Impact and Ethics Selling Data Democratization to Executives Spreading Data Insights across the Business Barriers to Overcome: People, Processes, and Technology Optimizing the Customer Experience with AI Using AI to Drive Growth in a Regulated Industry Building an MLOps Foundation for AI at Scale The Expo offers a platform for exploration and discovery, showcasing how cutting-edge technologies are reshaping a myriad of industries, including manufacturing, transport, supply chain, government, legal sectors, financial services, energy, utilities, insurance, healthcare, retail, and more. Attendees will have the chance to witness firsthand the transformative power of AI and Big Data across various sectors, gaining insights that are crucial for staying ahead in today's rapidly evolving technological landscape. Anticipating a turnout of over 7000 attendees and featuring 200 speakers across various tracks, AI and Big Data Expo North America offers a unique opportunity for CTO’s, CDO’s, CIO’s , Heads of IOT, AI /ML, IT Directors and tech enthusiasts to stay abreast of the latest trends and innovations in AI, Big Data and related technologies. Organized by TechEx Events, the conference will also feature six co-located events, including the IoT Tech Expo, Intelligent Automation Conference, Cyber Security & Cloud Congress, Digital Transformation Week, and Edge Computing Expo, ensuring a comprehensive exploration of the technological landscape. Attendees can choose from various ticket options, providing access to engaging sessions, the bustling expo floor, premium tracks featuring industry leaders, a VIP networking party, and a sophisticated networking app facilitating connections ahead of the event. Secure your ticket with a 25% discount on tickets, available until March 31st, 2024. Save up to $300 on your ticket and be part of the conversation shaping the future of AI and Big Data technologies. For more information and to secure your place at AI and Big Data Expo North America, please visit https://www.ai-expo.net/northamerica/. About AI and Big Data Expo North America: The AI and Big Data Expo North America is a leading event in the AI and Big Data landscape, serving as a nexus for professionals, industry experts, and enthusiasts to explore and navigate the ever-evolving technological frontier. Through its focus on education, networking, and collaboration, the Expo continues to be a beacon for those eager to stay at the forefront of technological innovation. “AI and Big Data Expo North Americais a part ofTechEx. For more information regardingTechExplease see onlinehere.”

Read More