We are a Flatworld Solutions company.
PRE-B suggests your customers their next purchase – based on historical transactions, past and similar user behaviors, user characteristics, product characteristics etc. To support real-time analytics – various custom algorithms including collaborative filtering, content based, and hybrid algorithms are used in addition to big data technologies such as Apache Kafka and Apache Nifi.
PRE-B is a dynamic recommendation tool that can be customized to meet your specifications. It is flexible, cost-efficient, agile and can easily be integrated with your existing information management systems.
Accuracy
Customer Engagement
Maximize Value of Visit
Customer satisfaction
Improved retention
Personalized sales
Data storage is critical as recommendation engines use customer data (past purchases, demographic information and their search history) to make product suggestions. But businesses don’t need to build data center to deploy Big Data infrastructure. Simply put, modern analytics – cloud based big data and analytics solutions – allow companies to start small and scale as-needed. At Quadratyx, we help you design and build intelligent scalable recommendation engine.
BOOST SALES & ENGAGEMENT
Multi-store Distributor
Accuracy
To deliver the right order at the right time
BETTER CUSTOMER TARGET
Recommending ideal behaviour
CTO Improvement
Improvement form existing solution
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