AI News NQ Analysis

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

NQ Score 50/100

AI Summary (NQ-processed)

KASIKA has implemented an AI recommendation feature to enhance personalized follow-ups in the housing and real estate industry.

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Frequently Asked Questions

Q: What company released the new "AI Recommendation Feature" for "KASIKA"?
A: Cocolive Inc., whose Representative Director is Takanobu Yamamoto, officially released this new feature.
Q: What is the main purpose of the automated tool "KASIKA" in the housing and real estate industry?
A: It is designed as an automated follow-up and sales management tool for the housing and real estate industry.
Q: What customer behavioral history data does the new "AI Recommendation Feature" analyze?
A: It automatically analyzes customer web page views, visit frequency, and page view counts.
Q: What is the key difference between the first wave and the second wave of AI features in KASIKA?
A: The first wave "AI Text Generation Feature" allowed text creation by inputting materials, while the second wave "AI Recommendation Feature" decides who to contact and what to send.
Q: Is any special initial configuration or setup required to use the new AI Recommendation Feature?
A: No, it is ready to use without setup because it utilizes existing KASIKA data immediately.