[Second Wave of AI Assistant Features] Follow-up that Delights Customers. KASIKA Implements "AI Recommend Feature"
Key facts
- [Second Wave of AI Assistant Features] Follow-up that Delights Customers. KASIKA Implements "AI Recommend Feature"
- KASIKA implements the AI Recommend Feature, advancing personalized follow-up in the housing and real estate industry.
- Date: March 28, 2026
Direct answer
KASIKA implements the AI Recommend Feature, advancing personalized follow-up in the housing and real estate industry.
- Citation
- [Second Wave of AI Assistant Features] Follow-up that Delights Customers. KASIKA Implements "AI Recommend Feature" (March 28, 2026)
- Source
- PR Times
- Date
- March 28, 2026
KASIKA implements the AI Recommend Feature, advancing personalized follow-up in the housing and real estate industry.
📋 Article Processing Timeline
- 📰 Published: March 28, 2026 at 21:22
- 🤖 AI Analyzed: May 26, 2026 at 21:27 (1416h 4m after Published)
The AI learns customer interest and behavior data in real-time, automatically generates completely personalized and highly accurate follow-up messages with a single click, and provides follow-up that makes customers feel "this representative understands me" as the new standard for housing and real estate sales.
## [Overview of New Feature]
The "AI Recommend Feature" automatically analyzes customer behavior history (web page browsing, visit frequency, PV count, etc.) accumulated by KASIKA, lists customers who should be approached immediately, and generates the most suitable follow-up message for that customer with a single click, enabling personalized approaches.
* **Automatic Extraction of Follow-up Targets**: Automatically lists customers who have exhibited behavior matching specific patterns.
* **Automatic Generation of Personalized Emails**: AI automatically analyzes each customer's behavior history and generates personalized follow-up messages with a single click.
* **Immediate Use Without Setup**: Utilizes existing KASIKA data as is. No special initial setup required.
While the first wave, the "AI Text Generation Feature," can create text by inputting materials, the "AI Recommend Feature" handles the judgment of "who to send what to." The representative simply checks the generated message with a single click and proceeds with the approach. From the day you start using it, you can implement a system for personalized follow-up that makes customers feel "they understand me."
## [Specific Usage Example: Personalized Approach that "Hits Home" for Customers Who Left the Open House Page]
FAQ
What is the new feature recently implemented by Cocolive Inc. for their KASIKA tool?
Cocolive Inc. has officially released the new "AI Recommend Feature" as the second wave of AI features for their KASIKA tool.
What is the primary function of the "AI Recommend Feature" in KASIKA?
The "AI Recommend Feature" automatically analyzes customer behavior history to identify customers who should be approached immediately and generates the most suitable personalized follow-up message for them.
How does the "AI Recommend Feature" personalize follow-up messages?
The AI learns customer interest and behavior data in real-time, analyzing each customer's behavior history to automatically generate completely personalized and highly accurate follow-up messages.
What kind of customer behavior does the "AI Recommend Feature" analyze to identify follow-up targets?
The "AI Recommend Feature" analyzes customer behavior history such as web page browsing, visit frequency, and PV count to automatically extract follow-up targets.
Is there any special initial setup required to use the "AI Recommend Feature"?
No, the "AI Recommend Feature" utilizes existing KASIKA data as is and requires no special initial setup, allowing for immediate use from day one.