AI Shopping Assistant Market is Promising
Problems of Current E-commerce Shopping Experience
REDUNCDANCY
Repeatedly recommending similar products based on historical behavior resulting in monotonous valueless recommendations.

REGION LIMITATION
Region limit cause customer have no choice of knowing and getting
ideal product.

LESS INTERACTION
Not fully understand customers' shopping intentions.
Bring a lot of re-query or filtering work

WEAK FOR SUPPLY CHAIN
SMB or personal business have no source globally approach to integrate their supply chain.

BIG WORKLOAD
Placing and managing orders separately when shopping on each E- commercial platform bring too much work to customers.


Boosting Your Global Shopping Experience with AI Assistant
• "Imagine you have an interactive virtual shopping assistant which can help you buy the most ideal personalized product without comparing prices and placing order manually!
• "Imagine you can purchase your ideal product globally without region and e-commercial website limitation! • "Imagine you can source your production material globally with the best value of money to optimized your supply chain!
Shopping assistant introduction—a new AI-powered robot designed to transform the way you shop.

HIGHLIGHTS OF FEATURES
NATURAL LANGUAGE
UNDERSTANDING
Interact like a real person, moving away from mechanical dialogue templates. The assistant can automatically trigger backend functions based on the customer's actual
needs.
REVENUE CHAIN
All nodes involved in the "recommendation path" of the final ordered product will receive a share of the revenue.
ACCURACY
Querying and recommendations for customers will be more precise, even allowing the
assistant to make decisions for users, reducing the need
for their effort.
EXTENSIBLE
Backend functions can be continuously expanded based on needs, and all functionalities are triggered through users' natural language input and automation
DIVERSE PRODUCT SOURCES
If a single node cannot
meet the requirements, the
search expands to other nodes, enabling mutual
recommendations across nodes or even global searches.
