Conversation
Use natural-language interaction to answer product, availability, delivery and comparison questions from approved sources.
This established RIFE article describes digital shopping assistants across websites, apps, virtual showrooms and in-store interfaces.

The article's durable value is the customer journey: ask a natural-language product question, retrieve current product/inventory information, compare options, explain delivery or order status, and escalate when the digital assistant cannot safely complete the request.
It also identifies PIM, CRM, OMS, payment and analytics systems as relevant commerce integration layers. Each connector, permission boundary and use of customer data must be explicitly approved; payment handling or profile-based personalization is not assumed from the avatar interface alone.


Use natural-language interaction to answer product, availability, delivery and comparison questions from approved sources.
Recommendations can be built from explicit user inputs and connected product data; customer-profile personalization requires consent and data governance.
The article identifies PIM, CRM, OMS, payment and analytics systems as relevant integration layers rather than native avatar guarantees.
Escalation to a live agent remains part of a robust design when the assistant cannot safely or accurately resolve the request.
Only when the project connects approved product, inventory or order systems and defines permissions, freshness and failure behavior.
No.
Yes in principle, when both channels are connected to the same approved content or commerce services. Channel-specific authentication, UI and handoff behavior still require implementation.