[Second Wave of AI Assistant Features] Follow-up that Delights Customers. KASIKA Implements "AI Recommend Feature"

Cocolive Inc. (Headquarters: Chiyoda-ku, Tokyo; Representative Director: Takatoshi Yamamoto) has officially released the new "AI Recommend Feature" as the second wave of AI features to be fully rolled out for "KASIKA," an automated follow-up and consultation management tool for the housing and real estate industry.

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]