With Oodles Artificial Intelligence services, develop a high-octane recommender system for your online business to intelligently analyze the user behavior of visitors, browsing patterns and provide relevant suggestions to increase cross-sell or upsell.
Understand your customers better to keep them coming back to your brand.
Machine learning models and technology services to drive superior recommendation accuracy.
Custom Recommender System DevelopmentDeliver a personalized recommendation experience to your customers by displaying relevant products in real-time based on customers’ purchase behavior, past sales data, personal interests, gender, demographics, etc.
Cloud Recommender System IntegrationOodles simplify cloud integration complexity, eliminate the possibility for errors, minimize the risk and improve scalability with cloud powered recommender system integration. Our Integration as a Service (IaaS) model offer automated and personalized product recommendation that easily
We enable you to incorporate Recommender System, facilitate learning capabilities to display relevant information and likeable products to your website users. We understand the intent of both business and customer expectations and believe in building recommendation engine to meet their defined needs.
Increase order sizes, sales and revenues with the right recommendation algorithms. This system allows your business to deduce reference values for the recommendation engine and suggest product based on user persona which leads to better accuracy and improves the user experience.
Feature-based approach
With knowledge graph embedding, deduce the relationship between entities and portray relevant results. Analyze past activities, predict the preference and offer a delightful experience.
Structure-based approach
Get the desired recommendation result in knowledge graph and combine the interest of users discerned from their buying behavior and past activities by using outward integration and inward aggregation techniques.
Accelerate the performance of your business by applying the right technologies and algorithms. We enable both static and dynamic scenarios based on user behaviour and feedback. In addition, provide users with some explanation why the system recommends certain items to them.
We empower your business by building a working recommendation engine to boost your sales, revenue, customers, conversion and more.
[carusols-shortcode]
We build recommendation systems using different machine learning algorithms and environments that progressively meet your business objectives
Based on your business requirements, we build intuitive and intelligent recommender system.
Evaluating the
business
We carefully assess the requirements of a business based on their platform visibility, sales capabilities, market reachability, and other related factors.
Building the
system
After careful examination of your business website platform.
Integrating the
software
Our service expertise easily integrates and embed the software into your performing website and app.
Testing and
deployment
We ensure smooth and error-free functioning of application and software after repeated Shift-left continuous delivery testing approaches.
Continuous Analysis of Performance
Our team constantly monitors and checks the system performance for an accurate and personalized recommendation.
[tech_stack_sc tag=”Recommender system,Recommendation Engine,Recommendation System”]
