Custom-Built Recommendation Systems

Achieve unprecedented business gains implementing our recommendation systems

What Are Recommendation Systems?

Recommendation systems allow companies to provide personalized offers and experience to their customers. Quality recommendations increase customer engagement and impact customer lifetime value.

InData Labs builds solutions adjusted and tailored according to each company’s KPIs.

Why Personalize

Customer engagement is getting more and more difficult for online and brick-and-mortar businesses alike. Empowered their social networks and their devices, digital era consumers are increasingly controlling shopping process and dictating WHAT they want and WHERE and WHEN they want it.

We Develop Solutions That Can Help Your Business

Content Recommendations

Increase engagement and decrease bounce rate with personalized content recommendations. This advanced capability automatically selects the right content for each visitor. Recommendations are based on real-time behavior, visitor profiles, and similar journeys.

25% faster
users can find desired content

Product Recommendations

Increase online revenue and average order values with personalized product recommendations. This advanced capability recommends products based on real-time behavior, order history, and similar journeys. Add it to product and checkout pages to increase upsells and cross-sells.

up to 5 times faster
users can find desired products

Need help creating personalized user experience?

Benefits of Bespoke Recommendation Systems

Real-time Recommendations
Multiple Personalization Strategies Based on Your Business Objectives
Customized for Your Project

How We Build Recommendation Systems

Problem Definition
Data Extraction
Exploratory Data Analysis
Data Modeling
A/B Testing
Optimized Customer Experience

Why Work With Us

We make it easy to build awesome recommendation systems.

State of the Art Models
We are always looking for new ways to improve our predictions and get the best possible results.
Customizable Solutions
We don’t settle for average. Our solutions are tailored to fit in with customers’ specific needs and the nature of their data.
Scalable Results
We plan for the future. Our recommendation systems and solutions will grow with your business constantly increasing your capabilities.
Highly Professional Team
We are determined to pursue greatness in everything we do for our clients.

Movie Recommendation Engine for Smart TV App

The Client operates in the Smart TV digital home entertainment market. It’s a leading premium video-on-demand service, which allows users to watch newly released movies in perfect quality or choose from a library of more than 7000 titles.

Their SmartTV application has 1.5 million monthly active users. As a result, fresh personalized recommendations delivered to every customer and users find desired movies faster.

Read the Case Study

Building Predictive Analytics Module for E-Commerce Platform

The Client is an e-commerce provider who cooperates with more than 50 brands. The Client was interested in a solution for generating cross-brand and single-brand recommendations. The business goal was to use machine learning (ML) to increase sales, revamp customer experience, and attract new clients and retain loyal users of the online platform. Eventually, the Client acquired a first-class e-commerce ML-led system.

Read the Case Study

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Contact Us

Drop us a line about your project or describe a challenge your company needs help solving. We’d love to discuss how InData Labs can work with you.