Vue.ai’s product recommendation engine tracks website shoppers' behaviour based on their user behaviour. We tracked their historical and live data and based on that we provide product recommendations to them. Every shopper should delight in getting an individualized shopper experience. personalized recommendations that convert 120% better.
Drive growth with personalized product recommendations. Make every customer feel special with 1:1 curated & personalized recommendations that convert 120% better.A personalized experience at every touchpoint. Delight every shopper with truly individualized shopper experiences and grow your revenue.
Style Profiles
Build unique Style Profiles for each shopper based on their likes, affinities, and visual preferences.
Dynamic Personalization
Gauge shopper intent in real time with every click they make, to power relevant product discovery.
Recommendation Strategies
Deploy a variety of product recommendation engine strategies to improve shopper engagement and conversion.
AI-Powered Search and Sorting
Leverage the power of Image Recognition to serve individualized search results to every shopper.
Recommendation Search Engine Market report published by Value Market Research, which studies the future outlook of the market.
It includes the size, share, growth, trends, key players, segments and regional analysis in detail during the study year 2019-2027.The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide.
The major players in the Recommendation Search Engine Market include IBM, SAP, Salesforce, HPE, Oracle, Google, Microsoft, Intel, AWS, and Sentient Technologies..
This section includes a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.Get more information on "Global Recommendation Search Engine Market Research Report" by requesting FREE Sample Copy at https://www.valuemarketresearch.com/contact/recommendation-search-engine-market/download-sampleMarket SegmentationThe broad Recommendation Search Engine Market has been sub-grouped into the Type, Deployment Model, Application, End-user and Region.
The report studies these subsets with respect to the geographical segmentation.
The strategists can gain a detailed insight and devise appropriate strategies to target specific market.
According to a new market research report "Recommendation Engine Market by Type (Collaborative Filtering, Content-Based Filtering, and Hybrid Recommendation), Deployment Mode (Cloud and On-Premises), Technology, Application, End-User, and Region - Global Forecast to 2022" published by MarketsandMarkets™, the recommendation engine market size based on AI, is expected to grow from USD 801.1 Million in 2017 to USD 4414.8 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 40.7% during the forecast period.Increase in focus toward enhancing consumer experience and growth in trend of digitalization are some of the major driving factors for the recommendation engine market.
Collaborative filtering type used in recommendation engines filter data based on the similarity of user interests.
The market for media and entertainment is expected to grow at a faster rate, owing to the increase in need for deployment of recommendation engine solution either on cloud or on-premises.North America is expected to account for the largest market share during the forecast periodNorth America is the most competitive and rapidly changing region in the recommendation engine market across the globe.
North America, among all the regions, has witnessed maximum adoption of recommendation engine, due to the rise in focus of the companies to enhance consumer experience, growth in technological advancement, and surge in government support.
The US and Canada are projected to extensively implement recommendation engine solutions.
Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients.