With the rise of the internet, recommendation engines play a crucial role in customer engagement and retention. Businesses need to understand the requirements and preferences of a customer or viewer without asking multiple annoying questions. To personalize the experience for customers, businesses are using sophisticated analytics to analyze historical buying behavior and make real-time recommendations.
At Algoscale, we help you grab users’ attention amidst information and data overload. Our recommendation engines collect, store, analyze, and filter huge amount of data to provide your customers with personalized suggestions on additional products or services. Depending on the nature of your business and data, we employ content-based, community-based, explicit, or implicit recommendation system to suit your needs.
- Collaborative Filtering
- Content – Based Filtering
- Identifying Need States & Clustering
- Cross / Upsell Recommendations
- Anomaly Detection