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Products Recommendation
Recommend
Personalized Products
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AI-based personalized product recommendations
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Attribute-based personalized recommendations
(Customized recommendations based on various product attributes) -
Deep learning–based personalized recommendation algorithms
(Analyzing customer behavior patterns, search history, and preferences) -
Real-time data–linked product recommendations
(Real-time integration with products displayed in the internal B2B shopping mall) -
Related and alternative product recommendations
Customer Service
24/7 customer support
anytime.
24/7 automated, personalized customer support
Real-time response services through AI chatbots
Improved staff efficiency through automated responses
(Enabling employees to focus on higher-value tasks with AI chatbot support)
Real-time data–integrated customer support
(Real-time integration of order, delivery, and inventory status)
Order-related inquiries
(Order lookup, delivery tracking, returns and exchanges)
Fast responses leveraging consultation history and FAQs
Products Recommendation
Recommend Products
through Conversation
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AI-based personalized product recommendations
-
Attribute-based personalized recommendations
(Customized recommendations based on multiple product attributes) -
Deep learning–based personalized recommendation algorithms
(Analyzing customer behavior patterns, search history, and preferences)) -
Real-time data–integrated product recommendations
(Real-time synchronization with products displayed in the internal B2B shopping mall) -
Related and alternative product recommendations
Customer Service
Easy search
across all data.
Unified search of all data within the enterprise
Natural language-based intelligent search function
(personalized search through natural language-based semantic understanding)
Maximizing the use of internal knowledge assets
(creating ideas and innovating based on accumulated knowledge)
Improve work efficiency with quick searches
(shorten work time by quickly finding the information you need)
We present sales cases based on CRM data in stages and
provide titles for each case.
View departments and contacts, sales channels, and activity history
Provide the manager in charge of the itemand product information
Schedule information
ERP-based data analysis and decision support
Support for RPA-linked automation functions
