[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.
AI analysis data is not yet available.
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.