eLearning is fast becoming a significant player in the digital economy with growth in this multibillion-dollar sector increasing year on year with no signs of slowing down. eLearning tools are feeling the heat from the competition, and they need to provide improved user experience through personalisation if they are to grab more of the eLearning market share. 

eLearning platforms rely on contextual learning means they have a wealth of data on users and can start to map out trends based on this data. 

Recommendations can use this user data to recommend:

• Courses
• Tutors 
• Projects 

That best suits the learner's ability and interest sets, so they get the most out of the eLearning experience. Recommendation engines can also pull in real-time data to recommend up the minute reports on specific fields of interest.

Recommendation engines can also be used to pair specific learners with one another for group tasks, where learners can leverage off each other's strengths and weaknesses, so they get the best experience from the subject matter. 

The applications for recommendations in this field are endless and can make all the difference in setting your product apart from your competition. 

If you're interested in improving your eLearning products via the help of a recommendation engine suited to your business, then reach out to us.

Recommendation engines thrive on data, and the more data you can supply, the better the engine's results will be and the more granular you can become with your rule sets.

Add both implicit data and explicit data into a Locstat run recommendation engine through API endpoints, CSV import or custom data plugins at lightning-fast speed to fill your engine with the correct data it needs to improve its service.

Recommendations work best when done in real-time as they have the goal of tapping into users current thought process. Use Locstat recommendation engine to increase your customer satisfaction and spending with AI-powered recommendations.

Locstats recommendation engine uses machine learning, and deep learning algorithms recommend content and product to your visitors as per their taste and preference with unmatched accuracy.

Our recommendation engine can perform its service using information and digital products or physical products. From e-books and articles to products matched by price range or brand variant to job portals and matching applicants with jobs, the applications are endless. The adaptability of Locstat's recommendation engine is the key to proving your product with superior customer experience. 

Recommendation engines integrate with a range of marketing tools from directly into a website and mobile app to marketing tools like Email or SMS service. These integrations help to get the right recommendations in front of the right customer at the right time.