Commercial ServicesCase Study

Renhe Spring

Retail Guided Service Intelligence Project for Renhe Spring

Customers rely on manual shopping guidance, service capacity is insufficient during peak periods, and the lack of personalized recommendations affects conversion.

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✓ AI knowledge base✓ AI customer service✓ retail digitalization

Case overview

Background

Customers rely on manual shopping guidance, service capacity is insufficient during peak periods, and the lack of personalized recommendations affects conversion.

Solution

Built intelligent shopping guidance and customer service applications to support customer decision-making and improve conversion during peak retail scenarios.

Result

Improves the customer shopping experience and promotes sales conversion.