Alternatives to Rumo

Fully managed service that provides product recommendations tailored to the needs of your customers. BytePlus recommend draws on our machine learning expertise to provide dynamic and targeted recommendations. Our industry-leading team has a track history of delivering recommendations on some of the most popular platforms in the world. To engage users better and make personalized suggestions based upon customer behavior, you can use the data from your users. BytePlus recommend is easy to use, leveraging your existing infrastructure and automating the machine-learning workflow. BytePlus recommend leverages our research on machine learning to deliver personalized recommendations that are tailored to your audience's preferences. Our algorithm team is highly skilled and can develop customized strategies to meet changing business goals and needs. Pricing is determined based on A/B testing results. Based on your business needs, optimization goals are set.

Qloo, the "Cultural AI", is capable of decoding and forecasting consumer tastes around the world. Privacy-first API that predicts global consumer preferences, catalogs hundreds of million of cultural entities, and is privacy-first. Our API provides contextualized personalization and insight based on deep understanding of consumer behavior. We have access to more than 575,000,000 people, places, and things. Our technology allows you to see beyond trends and discover the connections that underlie people's tastes in their world. Our vast library includes entities such as brands, music, film and fashion. We also have information about notable people. Results are delivered in milliseconds. They can be weighted with factors like regionalization and real time popularity. Companies who want to use best-in-class data to enhance their customer experiences. Our flagship recommendation API provides results based on demographics and preferences, cultural entities, metadata, geolocational factors, and metadata.

Luigi's Box is a unique technological solution that uses AI to bring customers only relevant search results and personalized product suggestions, enhances the user experience, and unlocks the potential of your business. It is a year-by-year awarded easy-to-operate solution with a support team that acts in the interest of your continuous success. Luigi's Box offers easy no-code self-service integration - you only need to paste the tracking script into the header of your web. But there is more; we understand that every platform has different needs and preferences, and therefore we offer several more integration options to choose from. Luigi's Box offers several advanced features to increase search relevance and revenue and avoid fruitless searches and other unnecessary troubles, which reached out and helped companies such as O2, Mountfield, and Dr.Max. These use cases are proof that Luigi's Box is suitable for any business or industry platform on the online market.

Algolia is an API platform for dynamic experiences that helps businesses maximize the speed of search and discovery, while solving the pain of relevance tuning through AI. Accessing the right piece of content on websites and apps has never been faster or more intuitive. Algolia Search is a powerful, fully hosted API that delivers content to users in milliseconds. Developers can customize the relevance of their user experience and get insights on how users interact with it. Algolia Recommend is a robust API that allows you to build unique product recommendations into any digital e-commerce experience.

Jinni's content-to-audience platform is based on taste and offers revolutionary personalization options for video content discovery as well as targeted digital advertising for entertainment companies. Jinni's Entertainment Genome™, which is made up of thousands of content attributes, or "genes", not only understands subtle differences in TV and film entertainment content but also each individual's entertainment preferences. This allows Jinni to match content titles with the right content titles. Our mission is to be the best content-to-audience platform available for entertainment brands. We use one platform to match and promote entertainment content to the right audience, significantly increasing the profitability of entertainment advertisers and platform operators. Jinni's semantic algorithms, which match content to users' preferences, have set the stage for the next generation in content discovery and recommendations.

Show your customers that you are able to understand them and earn their trust. Google has spent years creating recommendations across its flagship properties, such as YouTube, Google Search, Google Ads, and Google Search. Recommendations AI uses that machine learning expertise and experience to provide personalized recommendations that are tailored to each customer's preferences and tastes across all touchpoints. Customers will love more of the things they love. You don't need to preprocess data or train or hyper-tune machine-learning models, load balance or manually provision your infrastructure for unpredictable traffic spikes. We do it all automatically. Google's machine learning models and expertise in recommendation technology allow you to take advantage of their expertise. They can correct for seasonality and bias, and excel in situations with long-tail items and cold-start users. Integrate data, manage models and make recommendations to improve performance.

You can orchestrate individual shopper experience at scale. Through brand inspiration and creativity, empower discovery by creating an emotional connection between consumers and brands. Respond to shoppers' needs at every moment. A micro-experience that is unique and relevant to the context of the interaction and the stage they are at in their shopping journey will be a memorable one. All engagement moments can be integrated across all devices, channels and locations to connect the shopper's journey. Optimize every stage of your shopper journey to meet your commercial goals. Your expertise can enhance algorithm-driven intelligence. Your technology stack should evolve. Keep your focus on the innovation components that make an impact. Eliminate silos with a single intelligence layer that delivers actionable insight.

To get people consuming, subscribing, and engaging with your content, Froomle provides AI powered recommendations that help your user access the right content regardless of the channel. Froomle is composed of experts in recommender systems for the digital publishing & eCommerce industry allowing us to offer an extensive catalog of specialized modules that are tailored to meet your specific business needs.

roboMUA, an AI startup, is revolutionizing how people shop for beauty products. Our platform uses advanced machine-learning & artificial intelligence algorithms, an augmented reality system, and unique inclusive data sets covering over 100 skin colors to provide personalized recommendations for beauty products. This includes skincare, makeup, and fashion (shape/bodywear), all from the convenience of your smartphone. No need to visit a store. Our platform also offers a variety of educational tools and resources to help users make informed decisions about their beauty regimens, such as curated makeup tutorial videos that showcase specific makeup products from different brands. Over 50 beauty brands are currently represented in our algorithms. We offer custom algorithms via cloud APIs and Chrome Extension, Shopify Apps, Android and iOS Mobile Apps. roboMUA is developing the next-generation beauty retail using AI. roboMUA is your personal makeup artist in your pocket.

AI-powered recommendations can increase customer satisfaction and spend. This applies to your homepage, product details, emailing campaigns, and many other areas. We have extensive experience with many domains and sites of all sizes so we can create our own algorithms to meet our clients' needs. You can explore performance metrics and make recommendations to meet your personalization requirements. The interface is simple and easy to use for all members of your team. The recommendation engine is made possible by the RESTful API and SDKs that support multiple programming languages.

The fastest way to relevant search and recommendations. Increase engagement, conversion and revenue using a configurable, real-time system. We help your users find the content or products that are most relevant for them by surfacing those products. We do this while taking into consideration your business objectives in order to ensure that all sides of your marketplace or platform are being optimized fairly. Shaped is an automated, real-time recommendation system that consists of four stages. It contains all the data, machine-learning, and infrastructure required to understand and serve your discovery needs at scale. Connect and deploy quickly with direct integration into your existing data sources. Ingest and rerank in real-time based on behavioral signals. Optimize LLMs and neural rankings models to achieve the best performance. Build and experiment with retrieval and ranking components for any use cases.

Utelly offers the best content discovery toolkit available for TV and OTT clients. To provide a comprehensive view of all content, we ingest core metadata catalogues. We also ingest individual feeds that are matched to the core metadata to create an enriching unified dataset for content discovery. Our AI enrichment modules enable sparse data sets that can be enhanced and used to improve content discovery experiences. Our search can be indexed on individual catalogs or a universal dataset, to provide an entertainment-focused search capability which is a future-proof approach to providing your customers with a great search experience. Our powerful recommendation engine uses the most recent ML/AI techniques to generate personalized suggestions based on key indicators that are identified during a user's life cycle and ingest datasets.

Look no further if you are looking for a personalization solution that will increase sales, customer engagement, and provide better insight into your customers than any other solutions. Imagine a tool that knew the preferences of your customers before they visited your site and could recommend the right products to them at the right time. Segmentify provides a personalized shopping experience at every touchpoint for each customer, giving you an advantage over your competitors. Segmentify, powered by machine-learning technology tracks and targets individual website visitors based on their unique online shopping habits better than any personalisation tool on the market. Forbes named us one of the top machine-learning companies to watch.

Personalized suggestions--discovered through the things you already love. TasteDive allows you to discover new music, movies and TV shows, books, authors and games, as well as people who share your interests. You can also get suggestions as a visitor by using our recommendation engine. You can also stay a while, create a profile, discover interesting people and learn about cool movies, books, or games by visiting their profiles. To experiment with the API, feel free to ask for a few questions. You will need an access key to use the API. This key allows you to make 300 requests per hour. Please include a description of the product and some usage estimates. This will allow us to increase the quota for certain applications that require it, and gain a better understanding about how the service is being used. Register to save your discoveries, create inspirational lists, receive personalized recommendations, and connect with like-minded peers.

Target customers with dynamic personalization and intelligent curation at all touchpoints to increase revenue. Customers can improve customer experience by using AI-driven personalized recommendations. AI-driven personalized emails with the right content, sent at the right time. Personalize category and product listing pages by sorting products based on user behavior. Virtual Beauty Assistant allows you to capture customer data. To increase loyalty and AOV, you can use the "beauty fingerprints" data to target customers. The menu and menu dropdown are personalized to the customer's preference. The menu will be customized to reflect the customer's preference for cleansers. Complete data insights with actionable visualizations. To help with choice paralysis, show visitors personalized product recommendations. Each landing page can be personalized.

We can help you increase your digital engagement and revenue through individualizing your customers' experiences. We make recommendations that are unique to your customers, encouraging them to convert at every stage of their digital journey. No user is an outsider. Provide real-time recommendations to first-time users and privacy-conscious users, solving the cold-start problem. Pique Personalized recommendations can be integrated via agile API integration to any webpage, app, email, or bot. It provides a comprehensive digital experience. We can help you and your thousands or millions of users find the most beautiful rings, suggest the most engaging songs, or connect job seekers with the best opportunities. You can choose what your customers are most likely buy and then buy again. Even anonymous or "private browsing", visitors can be included. Easily integrate scripts to make recommendations wherever you are.

Today, create shopping experiences that will win you customers for life. The world's first Commerce Experience Platform is an integrated suite of data-driven personalization and marketing solutions that will help you grow faster. The Nosto Commerce Platform allows you to quickly and easily create fully personalized, integrated commerce experiences. You can also control the merchandising rules across product recommendations, content, trigger overlays and popups and category pages. With our intuitive interface and extensive list of integrations, you can quickly create personalized shopping experiences. Nosto's unique approach of keeping product and shopper information updated in real time means that each customer's shopping experience is personalized. You can say goodbye to unrelated images, copy, and product impressions that can harm your brand's perception and sales.

Klevu is an intelligent site-search solution that helps e-commerce businesses increase their onsite sales and improve customer online shopping experience. Klevu powers the navigation and search experience for thousands of enterprise and mid-level online retailers. It leverages advanced semantic search, natural word processing, merchandising, and multilingual capabilities to ensure that visitors to your site find exactly the information they need, regardless of device or query complexity.

Recommend helps your business grow while curating your customers' personalized shopping experience. Recommend, powered by AI, collects and analyzes customer actions to create unique shopping experiences for each customer. Recommend provides a 360o marketing platform that enables e-commerce businesses to personalize and offer 360o marketing. Recommend allows brands to create an unique shopping experience to anticipate customers' needs and wants. eCommerce's future is to stop treating customers as segments and start treating them as individuals. Your business must understand your customers from the moment they visit your website. Our sophisticated data gathering system will gather information and analyze every action customers take while browsing your website in order to create an exceptional shopping experience for each of them.

Easy-to-use machine-learning tool that personalizes the user experience. This tool guarantees higher conversions. LiftIgniter allows you to personalize every aspect of your customer experience. LiftIgniter uses real-time machine learning to increase conversions by providing timely and relevant recommendations that don't compromise the privacy of the end user. You can ensure that both new and returning customers receive relevant recommendations right away. Personalize recommendations to each visitor according to your brand's look and feel. Stop visitors from seeing content that they have already purchased. Establish placement rules quickly to guide visitors to the content they are most interested in. Within 15 days, you will see cart values and conversion rates rise by 15%. To increase your basket size and monetization, you can leverage ML-based personalization. You can create a one-to-1 marketing interaction with personalized recommendations and convert more customers.

Turn your traffic data into actionable data. You can store browsing behavior and classify users into similar behavior groups. You can identify your users to reward, motivate, and get back. Also, you can find out which brands, categories, and offers have high conversion potential. Start by creating a page with browsing history, listing products purchased or seen recently. Remember to remind abandoned products that have not been purchased. Last but not least, remind all users to do this, even anonymous or non-registered. AI uses our predictive technology to provide a personalized shopping experience. Based on the shopper's preferences and intent, display personalized product recommendations. You can manage multiple recommendation campaigns. Different algorithms can be used to personalize your shopping experience, depending on browsing history and nonclick behavior.

Acoustic Personalization can create amazing user experiences that increase engagement and conversions on landing pages, websites, and mobile websites. In real-time, deliver tailored content and AI-powered product recommendations to each visitor. You can further optimize your performance by running A/B tests and measuring custom success metrics. Acoustic Personalization helps you save time and get personalization campaigns to market quicker. Acoustic Campaign personalization allows for even greater results. Create and share audiences to enable content personalization and A/B testing on the web channel. Personalize each page for each visitor's website to drive more engagement using historical behavioral data and real-time (in–session) data. Real-time, AI-powered product recommendations can increase "cart size" as well as conversion.

AI and real-time analytics can be used to personalize the customer experience and optimize conversions. Our personalization engine allows you to treat each customer as an individual, and maximize ROI on your marketing campaigns. Create personalized experiences using machine learning and AI. Customize everything from webpages to product recommendations, content and more. Using a combination of real-time data and historical customer information, tailor each customer experience to drive a specific KPI. This can range from customer acquisition to retention. Machine learning can improve page personalization, influencing CTAs such as banners and pop-ups. You can test and target your customers' browsing speed, with personalization decisions occurring in milliseconds. Use AI to synthesize data from in-the moment intent and past business engagements, to identify customer affinities and interests.

Dressipi is leading a revolution in fashion ecommerce personalization. Dressipi helps retailers understand the unique complexity of fashion (think seasonality and trends, taste, etc.) and shows them the items they are most likely to purchase - or keep. Products are automatically tagged 3x more detailed. Data is crunched at large scale. Fashion expertise is added. Dressipi does all the heavy lifting so their customers can stay ahead and enjoy higher profits. Dressipi's personal recommendations and outfits are now better than any competitor in A/B testing. They also deliver incremental improvements in profit (+21%) and revenue (+12%), returns (+-15%), and sell-through rate (+10%) Finally, personalized ecommerce lives up to its name.

It is becoming harder to identify the individual taste of the customer due to the rapid expansion of product options and increased choice options. The Sentient Recommender delved deep into the individual taste of the customer by analysing their choices and recommending products that will best suit their preferences. Recommender's insight into these personal preferences is based on a large database that includes previous choices made by many consumers. The historical sales and lending data used to make product recommendations is the basis for conventional product recommendations. "Customers who have borrowed this book have also read these titles." The Sentient Recommender does more than that, interpreting individual taste based upon a unique combination of preferences. Popularity of the products plays an important part in this process. Some choices are based more on the popularity of the products than the actual preference of the consumers.

Every visitor is unique and deserves special attention. Our AI-powered personalization technology allows us to do this in real time. Our mission is to maximize your ecommerce executive's value and that of your visitors through AI-powered eCommerce personalization. You can leave some footprints when a visitor visits your site. Visitors browse through many pages and view different types of content. These behaviors are tracked and analyzed in real-time to provide personalized recommendations to your visitors. Your visitors' ever-changing behaviours are not always revealed by large and permanent macro-segments that contain thousands of people. We can help you! Our AI-powered personalization approach allows us to segment your visitors in real-time, creating thousands of micro-segments. This is how we can detect behavioural changes and provide personalized recommendations that meet the needs of your visitors.

Create an ecommerce search experience that converts buyers to shoppers by creating relevant and personalized search results. Convert more shoppers by creating contextual relevance. Personalize the category pages to create an exceptional shopping experience for shoppers. Personalized product suggestions can increase cart size and AOV. To publish large amounts of content, you can use AI and Digital Asset management. AI-models that make site search intelligent, relevant, and personalized. Site-Search that converts buyers into shoppers across all devices: desktop, mobile, and web. Your shoppers will enjoy a smooth and fast ecommerce search experience. To help shoppers make informed business decisions, track their affinity and purchase behaviour. Get a 360-degree view of your business and deep insight.

Alibaba Cloud Artificial Intelligence Recommendation is powered by the most advanced big data and artificial intelligence technologies. It provides customized recommendation services for developers and enterprises. It is based on service accumulations in a range of industries such as ecommerce, content, and live streaming. Based on negative feedback, you can make personalized recommendations. In the AIRec console, create a scene and personalize item selections and launching policies. Optimize diversified configurations based upon business scenarios to improve the user experience. AIRec allows you to associate users with items or content in order to make efficient algorithm-based recommendations. It captures and analyzes user behavior within seconds and delivers personalized recommendations in milliseconds. AIRec supports over 1,000 QPSs. To view the most recent recommended content, users can refresh the page.

We assist e-commerce companies in recommending products to new users, even if they don't have any history. Deep learning is used to recommend products to anonymous users and engage them. Once they have engaged, we ask them for their email address. If they don't purchase in the same session we ask them to re-engage them via email and convert them into buyers. Mobile website users don't sign in. These users are not eligible for personalization tools. They don't have browsing or purchase history. We specialize in recommending products to users with no history. Our deep learning algorithm analyzes their digital footprint and demographics to recommend the right product for them. It keeps them on the site, before they lose interest. You want new users to sign up on your website. Popups that offer discounts are annoying and ineffective are not effective. It can also impact your SEO ranking. These users are engaged with the right product recommendations by our intelligent sign up widget.

Online customers prefer recommendations that are relevant and interesting to their interests or needs. With contextual targeting and behavior profiling, you can give them a better experience. Our recommendation engine allows you to personalize your content more precisely. Personalized content will keep your visitors engaged. The likelihood of a conversion increases the longer a visitor spends on a site. Your eCommerce store can help shoppers find hidden items. Increase sales by offering timely and intelligent product recommendations. Display products and content that are of interest to the user. Only relevant suggestions grab the attention of users and lead to productive interactions. ContextIQ is a personalization tool that can be deployed quickly. It uses collaborative filtering algorithms for recommendations. It can suggest content to users via behavioral targeting.

Now, organizations can provide Google-quality searches, browsing, and recommendations to their own digital properties. This will help increase conversions and decrease search abandonment. Utilizing Google-quality search features can reduce search abandonment. Searching for products using images can enhance the shopping experience. Personalizing the shopping experience will improve conversion and order values. Retail Search and Browse allows retailers to implement Google-quality experiences, which are customizable and built on Google's understanding user intent and context. Recommendations AI is able to understand the nuances behind SKUs, context and customer behavior in order for it to drive engagement across all channels. Uses ML-powered lookup and object recognition to provide real-time, relevant results for similar or complementary items in your product catalog.

Viume, an AI-driven software for ecommerce platforms, brings together the best selections of products and customers through personalized recommendations. Viume leverages image recognition and self-adaptive algorithm to accelerate business to be customer-centric and predictive. Viume's Recommender System uses a combination of external activities, internal inputs, and context data to recommend the best products for each user. Automatic Product Tagging by Viume AI recognizes the product from the image and automatically tags it with the most relevant attributes and categories. eCommerce platforms can improve the product search experience for their customers and optimize their SEO by using accurate product tags and categories. Viume AI Stylist Agent, a digital stylist, is based on a set styling functions and conditions that are designed to give each user the best overall look.

Unify all touchpoints of your customer across all channels and platforms. Make a personal impression wherever you meet your customer. Unify all touchpoints of your customer across all channels and platforms, and you will make a personal impression wherever you meet your customer. Raptor's Merchandising Center allows you to use your recommendation modules on any channel you choose. You can increase exposure for specific products and place them in the customers' line of sight. This combines customer relevance with product promotion. You can create an exceptional shopping experience by empowering personalized product recommendations in real time. This will increase your basket size and order value, as well as revenue per visit. It will also significantly improve customer experience. You will receive highly personalized e-mails that include product recommendations and are tailored to each subscriber.

We know that the right recommendations can create a memorable customer journey and build customer loyalty. Our next-generation AI allows you to instantly anticipate your customers' needs and wants using anonymized user data. Your customers can now stop searching and start finding. Our recommendation platform is built using a proprietary AI algorithm, and a next-generation API that we designed to work together. This allows any part of your business to easily integrate into our platform and generate the best recommendations. Recommendations must keep up with your evolving and growing business. Our platform allows product and business teams to quickly update inventories and catalogs using our platform. It's easy for your development teams. Our platform allows personalization to be as simple and intuitive as possible. We don't need any personal data to create tailored experiences.

The best platform to grow sales. You can personalize your online marketing using artificial intelligence-backed insights, hands-free automations, and personalized marketing. Shoppers want to feel a personal connection when shopping with brands they trust. Kevy can help you personalize your marketing to convert customers. Segmentation doesn’t have to be difficult. It doesn't require you to manually create all the rules. Kevy automates segmentation by using A.I. You can use Kevy to identify everything, from email lovers to high probability buyers and look-alikes. Kevy will do all the hard work. Kevy will help you have consistent and relevant interactions. Kevy can help you re-engage customers who have already purchased or convert new visitors.

Automate product discovery to learn customer intent. Machine learning can optimize results across the board. Personalize search, autosuggests, browse, and recommendation results for each user. Computational approaches that infer intent from a user's search query. Continuously updated search results rankings using automated learning from behavioral data. Data-driven, integrated effort to provide unique results for every person and query. Advanced tools to complement automated results with merchant expertise. Automate product discovery to learn customer intent. Machine learning can optimize results across the board. You can personalize search, autosuggest and browse results for each user. Natural language processing interprets the query and provides conversion-worthy results as users type. Constructor Search learns from behavioral data.

A single technology stack is all you need to manage personalized ad content delivery and attribution across all media and eCommerce platforms. Deliver the right message at right time across owned and paid channels to achieve media performance and maximize ROI. This allows you to understand each customer's intent at each stage of their buying journey. Cross-channel analytics and sales attribution via data clean rooms. Recognize and process consented consumer engagement events in real-time. Personalize omnichannel messaging for individual customers. Facilitate enterprise-wide collaboration to enable local to global implementation. Identify consumers in the market and match them with the right product, offers and pricing.

AiBUY's proprietary technology will revolutionize the way your customers interact and shop with your brand. Consumers can interact with your brand, shop for products, and access bios of actors, entertainers, or athlete stats from their preferred devices. Social media and influencer campaigns can increase sales while integrating with eCommerce platforms. AiBUY's machine learning and computer vision algorithms can identify any item through images or videos. This makes the eCommerce experience as natural and fast as possible. AiBUY provides a powerful personalization tool to increase product discovery. A complete suite of data visualizations is available for real-time analysis. We are also looking at predictive insights in context-relevant content performance. High-quality payment integrations with industry leaders such as Apple Pay, Google Pay, and Stripe.

Fusion transforms siloed data into unique insights for each user. Lucidworks Fusion allows customers to easily deploy AI-powered search and data discovery applications in a modern, containerized cloud-native architecture. Data scientists can interact with these applications by using existing machine learning models. They can also quickly create and deploy new models with popular tools such as Python ML and TensorFlow. It is easier and less risk to manage Fusion cloud deployments. Lucidworks has modernized Fusion using a cloud-native microservices architecture orchestrated and managed by Kubernetes. Fusion allows customers to dynamically manage their application resources according to usage ebbs, flows, and reduce the effort of deploying Fusion and upgrading it. Fusion also helps avoid unscheduled downtime or performance degradation. Fusion supports Python machine learning models natively. Fusion can integrate your custom ML models.

Alie is Muvi’s AI-powered recommendation engine that can be used for websites and mobile apps. Alie analyzes user data and makes product/content recommendations in real-time based on individual preferences and tastes. Alie is best suited for streaming services and e-commerce sites.

We help companies to understand their users, engage with them one on one, and optimize their business strategies. The most engaging products can be tailored to each user at any point and time. ODOSCOPE, the customer engagement platform, provides seamless 1:1 personalization that is tailored to each user at all touchpoints. ODOSCOPE real time AI technology companies can increase customer lifetime value by increasing revenue, and significantly lowering costs. ODOSCOPE is a contracted data processor and integrates all your internal and external data into one platform. This includes customer data, stock and pricing data as well as behavioural data, sociodemographic data and external situational data. Our customer engagement platform allows small and large businesses to successfully manage their existing data for fast business insights and context-based real time decisions.

Our search & personalization solutions can increase your eCommerce revenue by up to 30%. This unique set of search results analyzes 60+ factors about your customer's browsing and buying habits, leading to higher sales conversion. Multilingual search interface that can be used to find product matches and suggestions. It is also mobile-optimized. This interface helps customers find products that are tailored to them. It also allows you to cross-sell or up-sell products to increase the AOV. You can convert browsers into customers by offering relevant products that match their interests and preferences. You can gain actionable insight into your customers' behavior, allowing you to capitalize on business opportunities that you didn't know existed. Integrate on Shopify and Maropost Commerce Cloud, Magento and BigCommerce, or any other platform.

Shopify's only 100% free, Amazon-like product suggestion app. Amazon reported a 29% increase in sales to $12.83 billion using intelligent product recommendations. This is an increase of $9.9 billion from the same quarter last year. AutoCommerce can help increase conversion by switching your store from static and recommending personalized products. You can create a unique shopping experience for your customers by showing them what products they are most likely buy. This will allow you to make more money with the same number of visitors. It works automatically so you don’t even need to lift a finger.

Recommend is an eCommerce personalization platform that delivers individualized, contextually relevant product recommendations.

Use trbo's personalization platform onsite to address customers individually or personally in real-time. The German market leader in personalization, recommendations, A/B/n testing, and many other features are all included in the solution. Use trbo's personalization platform onsite to address customers individually or personally in real-time. The German market leader in personalization, recommendations, A/B/n testing, and many more features are all included in the solution. Based on the customer's profile, context and other relevant information, recommend individual products. This ensures that the user receives the best product recommendation at the right moment and at the right place. The self-learning algorithm optimizes the display of products in background based on click and conversion rates. You can save layouts you have already created (e.g. You can save different algorithms and test different layouts (e.g. Inpage banner versus overlay or exit intent).

Maximize the impact of your online store's real-estate. LimeSpot AI understands both your products AND your customers. Our platform combines complete catalog data with cross-web consumer purchasing behaviors to provide personalized recommendations to every customer. -Show customers the right products, at the right time Personalize every step of your journey -Different recommendation types to suit different needs Personalized marketing emails can increase value - Platform tools like A/B/n testing Integrate with big names such as Shopify, Shopify Plus and BigCommerce, WooCommerce and many more.

Artificial intelligence-based system that increases sales in the ecommerce industry by 15% through automated product recommendations. No matter what industry or assumptions your e-commerce is in, we can provide personalized product recommendations to your customers thanks to our advanced artificial intelligence algorithms. Our e-commerce solutions are innovative and highly effective, allowing your online shop to earn more. We match your interface perfectly with our recommendation frames! It doesn't matter how complex the service is, how long it takes to implement or what technical facilities are available. Our team will configure the entire system for your benefit! Marketing automation will allow us to increase the most important indicators, improve sales processes, and create a long-lasting relationship with customers that is based on loyalty. You can now enjoy the benefits of new solutions thanks to us!

Azure's reinforcement learning capabilities are the only way to boost conversion and engagement and add real-time relevance for product recommendations. Two API calls will allow you to select hero content, optimize layouts and personalize offers. AI Personalizer is part of Azure AI services and can be used as a standalone solution for personalization or to complement existing ranking algorithms. Machine learning expertise is not required. Give customers relevant experiences which improve over time depending on their behavior. Improve click-throughs on home pages, create personalized channel, or optimize coupon terms and offers. AI can help you stay ahead of the curve by determining what works best. AI Personalizer, unlike recommendation engines that only offer a few choices from a large catalog of options, presents the best possible outcome for an individual user every time they use your app. Add AI Personalizer to your app by adding just two lines of code. You can easily inspect the accuracy and optimize predictions as needed.

We understand how difficult it can be to manage marketing activities for your company and get great results. Our goal is to make ecommerce easy for both you and your customers. You can quickly and easily improve your marketing strategy and reach all your goals with one app. You can deliver Google, Facebook, or YouTube ads with up to 50% higher CPA. With eye-catching, highly-effective, and simple-to-set up ads, target new and existing customers. Our new creative builder is filled with auto-generated content and powerful animations. Scale creatives across channels. You can send triggered emails, push notifications, and SMS with a 15% conversion rate. You can create custom-tailored newsletters and laser-targeted product recommendations for each customer.

360deg relevancy across Websites, Ecommerce and Service. Every interaction, recommendation, search is made better. We help businesses deliver the experiences people want. The Coveo Relevance Cloud is the first step to relevant search. Self-optimizing AI allows you to harness the power of every click and query. You can deliver better experiences by noticing search relevance from Day 1. Then scale to full 360 degree relevance. Every query and click tells you what your customer wants. You'll be able to provide relevant product results and product and content recommendations that customers will want to 'add it to cart'. With AI-powered customer self service and AI-assisted agent answers, connect each customer to the most relevant answers quicker.