[Second Wave of AI Assistant Features] Customer-Pleasing Follow-ups: KASIKA Implements 'AI Recommendation Feature'

Cocolive Inc. (Headquarters: Chiyoda-ku, Tokyo; Representative Director: Takanobu Yamamoto) has officially released the new "AI Recommendation Feature" as the second wave of its full-scale AI feature rollout for "KASIKA," an automated follow-up and sales management tool for the housing and real estate industry.

By having AI automatically learn customer interest and behavioral data in real-time and generating highly precise, fully personalized follow-up messages with a single click, we are establishing a new standard for housing and real estate sales that makes customers feel, "This representative truly understands me."

[Overview of the New Feature]

The "AI Recommendation Feature" allows KASIKA to automatically analyze customer behavioral history (web page views, visit frequency, PV counts, etc.), list customers who should be approached immediately, and generate optimal follow-up messages for those customers with a single click.

• Automatic Extraction of Follow-up Targets: Automatically creates a list of customers who have exhibited specific behavioral patterns.
• Automated Personalized Email Generation: AI analyzes individual customer history to generate optimized follow-up text with one click.
• Ready to Use Without Setup: Utilizes existing KASIKA data immediately. No special initial configuration required.

While the first wave, the "AI Text Generation Feature," allowed users to "create text by inputting materials," this new "AI Recommendation Feature" handles the decision-making of "who to contact and what to send." Sales representatives simply review the one-click generated text and reach out. From the very first day of use, you can implement a system for personalized follow-ups that makes customers feel understood.

[Concrete Use Case: The 'Most Impactful' Personalized Approach for Customers Who Left the Viewing Event Page]