KASIKA Launches New AI Recommendation Feature for Real Estate Engagement

KASIKA's New AI Recommendation Feature Revolutionizes Customer Engagement

In the ever-evolving landscape of the real estate industry, engaging potential customers effectively is crucial for success. Cocolive Inc., headquartered in Chiyoda, Tokyo, Japan, has just unveiled a game-changing addition to its automated customer engagement platform, KASIKA. The newly launched AI Recommendation feature is designed to refine the outreach process for real estate professionals by leveraging customer interest and behavior data.

Redefining Real Estate Engagement

The AI Recommendation feature marks the second phase of KASIKA's AI capabilities, following the initial release of an AI text generation tool. This innovation allows agents to generate highly personalized follow-up messages with just one click, enabling them to address customers' needs more effectively. By automatically analyzing a customer's online activity, such as webpage views and visit frequency, the AI can identify which prospects warrant immediate attention and create optimized approach messages tailored to each individual.

How It Works

The feature operates in three main ways:
1. Automatic Target Extraction: The AI identifies customers whose actions align with predefined behavior patterns and compiles them into a list.
2. Individualized Email Generation: The tool analyzes each customer's history to produce customized follow-up messages within seconds.
3. Immediate Utilization: KASIKA seamlessly integrates with existing data, requiring no extra setup.

A significant distinction of this feature from the previous AI text generation tool is its decision-making capacity. While past functions required users to input materials for content creation, the AI Recommendation feature autonomously decides the “who” and “what” for subsequent communication. Agents can simply review the generated content and connect with clients right away, creating an immediate feeling of personal attention and understanding.

Practical Application:

To illustrate the effectiveness of the AI Recommendation feature, consider a scenario with potential customers who visited a web page for an upcoming open house but did not finalize their reservations. Traditionally, agents would resort to sending a generic reminder email to these customers. However, KASIKA's AI Recommendation feature takes a more refined approach. By examining the online behavior of each individual, the AI can craft unique invitation emails that resonate with specific interests:

- For Customer A, who frequently views construction case studies:

- "Experience the functionality of living in a thoughtfully designed space during our open house."

- For Customer B, who engages with finance-related information:

- "We will offer personalized consultations on home loans and financial planning during the event."

This level of targeted communication significantly enhances customer engagement, improving the likelihood of securing bookings from prospects who might otherwise remain unresponsive.

Leveraging Success Stories

KASIKA's AI Recommendation feature is not just an arbitrary tool; it's built on real-world success stories from approximately 1,200 active users of the KASIKA system. As a proprietary AI developed specifically for the real estate sector, it analyzes successful customer engagement patterns and learning from the behavior of homebuyers, all drawing from a substantial database of client interactions.

It uniquely combines insights into customer behavior with industry knowledge, making it an asset that other standard AI tools cannot replicate, thanks to Cocolive's commitment to addressing the specific challenges faced by real estate professionals.

Addressing Industry Challenges

The development of this feature addresses ongoing challenges within the real estate sector, such as labor shortages, employee burnout, and high turnover rates. The AI Recommendation feature serves as a strategic asset that enables agents to maintain the quality and quantity of their follow-ups without relying solely on personal intuition. As KASIKA continuously evolves its suite of AI functionalities, it aims to support the holistic customer engagement process—thinking, writing, and delivering personalized messages.

In essence, the AI Recommendation feature embodies a significant advancement in the real estate sector's digital transformation, offering consistent, repeatable, and high-quality customer engagement for agents.

Company Overview

Company Name: Cocolive Inc.
Location: 1-28-1 Kanda-Jimbocho, Chiyoda-ku, Tokyo, Japan, 7F mirio Jimbocho
CEO: Takashi Yamamoto
Established: January 2017
Business Scope: Development and provision of automated customer engagement and meeting management tools for the housing and real estate sector, and Real Estate Digital Transformation initiatives.
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