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.

Increase sales and brand loyalty with personalization

Understand your customers better to keep them coming back to your brand.

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Recommendation System Development
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After-sales recommendation systems
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Display Ad Integration
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Proximity Marketing Recommendation Systems
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Follow-up recommendation systems
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Recommender Engine Integration
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Mobile Recommendation System Development
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Multiple Recommender Development
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Recommendation Systems Integration

Recommender system development services

Machine learning models and technology services to drive superior recommendation accuracy.

Custom Recommender System Development

Deliver 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.

  • Recommend related products
  • Retain customer engagement
  • Suggest relevant and alternative product
  • Provide after-sales recommendations
  • Product follow-ups
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Cloud Recommender System Integration

Oodles 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

  • Integrates applications and services
  • Processes automation
  • Improve security, reliability & scalability
  • Enables easy deployment solutions
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Build your own Recommendation Engine

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.

Knowledge graph-based recommendation system

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.

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Reinforcement learning-based recommendation system

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.

Technologies to apply data science & machine learning

We empower your business by building a working recommendation engine to boost your sales, revenue, customers, conversion and more.

Build machine learning models & offer robust solutions

Build machine learning models & offer robust solutions

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Our Business Process

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.

Request For Proposal

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