Power your business with an AI-based recommendation engine
Whatever your niche, accelerate productivity with our recommendation engine development services.
Comprehensive development
In-depth expertise
Competitive costs
Hire our experts
White label services
Serve better with AI-powered recommendations
User experience is the priority for every business seeking growth. Crucial to that objective is gaining knowledge of your consumers’ desires without having to conduct expensive surveys.
Modus Suisse’s recommendation engine equips businesses with the instant appreciation of detailed customer needs enhancing lead generation, reinforcing brand recognition and eventual customer retention.
Our recommendation engine services
Content-based
Our sophisticated algorithms adapt product similarity. Recognizing that the user likes an item, the algorithm identifies and recommends similar items. The user's history linked with product specifications are the primary data that the algorithms mine to find suitable recommendations.
Collaborative
A collaborative recommendation engine accumulates and analyzes user purchase history, preferences, and interactions with the website to predict their needs to make relevant recommendations.
Hybrid
Hybrid is a combination content-based and collaborative methods, provide improved recommendations and geometric sales growth.
Perks of our Recommendation Engine Development Services
Access to our pool of seasoned developers
Comprehensive product development
Ongoing support and maintenance
Transparent workflow
Competitive costs
Timely deployment
Develop an intelligent recommendation engine with AI skill-powered developers
JS Developer references
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The development process at Modus Suisse
01.
Requirement analysis
Research is the stepping stone to a successful project. At this stage, familiarize ourselves with your business processes enabling us to create solutions that enhance every aspect. We investigate, consult and conceive the initial product.
02.
App design and wireframe
Based on the accumulated data, we design wireframe proposals of the specification so that you can visualize the final product. We present the system architecture, UI/UX, and prototype model of the app at this stage.
03.
Coding the application
After receiving approval on the proposed wireframe, we start to develop the application. We undertake the functional implementation, coding, and application optimization during the third stage of the development process.
04.
Testing and problem-solving
Quality is non-negotiable at Modus Suisse. We ensure friction-free technology development by conducting extensive quality checks, testing, troubleshooting, seamless navigation, and effectiveness of UI/UX.
05.
Deployment and maintenance
This is the most exciting stage as the product comes to life and your dreams become real! Ongoing updates of the developed application follow the beta launch, final deployment, training, performance evaluation, monitoring, and feedback.
Our advocates
Frequently Asked Questions
It is a tool for filtering data using machine learning technology to give on point recommendations to users. A recommendation engine analyzes user data, continuously learning from behavior patterns and responses.
Based machine learning techniques, data plays a crucial role in the recommendation engine’s success. Pattern analysis is performed studying historic data. Data quality determines the accuracy of recommendations.
The business benefits of a recommendation engine are:
- Increased sales growth
- Satisfied customers
- Optimized billing
- Customer retention