Commercial ServicesCase Study
Renhe Spring — Retail Guided Service Intelligence Project for Renhe Spring
AI knowledge base
AI customer service
retail digitalization
Challenge: Background
Customers rely on manual shopping guidance, service capacity is insufficient during peak periods, and the lack of personalized recommendations affects conversion.
Solution: Our Approach
Built intelligent shopping guidance and customer service applications to support customer decision-making and improve conversion during peak retail scenarios.
Results: Business Impact
Improves the customer shopping experience and promotes sales conversion.