Personalised Recommendation Engine
A machine learning system that analyses customer purchase history, browsing behaviour, and preferences to generate relevant product recommendations. This agent helps increase average transaction value and customer satisfaction by suggesting products that match individual customer interests and needs.
About Personalised Recommendation Engine
The Personalised Recommendation Engine analyses customer data to deliver targeted product suggestions across all retail channels. This system enhances the shopping experience while driving additional sales.
Key features include:
- Analysis of individual purchase history and browsing patterns
- Real-time recommendation updates based on current behaviour
- Cross-category product suggestions to increase basket size
- Seasonal and trend-based recommendation adjustments
- Integration with loyalty program data for improved accuracy
This agent helps retailers provide more relevant product suggestions to customers, increasing conversion rates and customer satisfaction through personalised shopping experiences.
This agent could integrate with systems such as:
- IBM Watson Commerce
- Salesforce Commerce Cloud
- Adobe Commerce
- SAP Customer Experience
- Oracle CX Commerce
Need Personalised Recommendation Engine for your Retail Trade business?
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