Improved product recommendation
Understood complex queries
Mobile app integration
Enabled future enhancements
The challenge
Enhancing guided selling with intelligent search
A leading health and wellness company aimed to create a cognitive learning platform for guided selling, delivering a personalized wellness experience across its brands.
Key challenges
Harmonizing data from Lotus Notes, PDFs and more
Building a scalable framework for growth and integration
Understanding intent in complex and varied search queries
The solution
Integrated solution for product recommendations
Approach and framework
IR-based recommendation approach
Integrated NLP, IR, and software engineering
Scalable search framework
Data and model development
Harmonized data
Pre-processed features
Developed ranking models
Implementation approach
1
Data integration and standardization
Mapped for accuracy
Standardized for unified view
Ingested and cleaned data
2
Model deployment and API integration
Built query models
Adapted for new data
Enabled API integration
3
Scalability and accuracy optimization
Optimized for scalability
Implemented logging
Enhanced accuracy
The impact
Seamless integration and scalability
Enhanced search
Improved accuracy
Relevant recommendations
Understands complex queries
Easy integration
Scalable for growth
Integrated with app
Easy data source addition
Looking ahead
Continuous improvement
Incorporate user feedback to refine recommendations
Scalable growth
Expand data integration to enhance recommendation quality
Personalization
Implement personalized recommendations based on customer behavior
