TimeSquare Radar

In real estate sales, much of a team's time goes into finding people who might buy and working out who is serious. TimesSquare Radar was developed to automate that work: identifying potential leads, judging their interest and handling the first contact inside one system.

How does TimesSquare Radar find and qualify leads?

Autonomous AI agents sit at the center of the system and focus on discovering opportunities within the target market: buyers for luxury condominiums in Phnom Penh. The discovery work a sales team would do by hand is carried out by the agents as part of an automated workflow.

Each prospect the agents find then goes through lead scoring and intent detection. These two steps help show how relevant a prospect is and how strong their interest is, so follow-up can go first to the people who are actively looking rather than those who are only browsing.

Conversations happen where prospects already are. Facebook and Telegram are part of the system as communication channels, so finding, qualifying and talking to leads all sit in the same automation workflow.

Our Role

Newwave built the system around four core capabilities:

• Autonomous Agents: AI agents that drive the lead generation process for the targeted real estate market.
• AI Lead Scoring: scoring built into the lead qualification workflow.
• Intent Detection: picking up signals from potential leads during the automation process.
• Facebook and Telegram: integrated channels for communication and lead engagement.

What does the client get?

The four capabilities work as one chain: agents discover, scoring and intent detection qualify, and the two messaging channels carry the conversation forward. For Time Square, lead generation becomes an AI automation workflow that runs alongside the sales team instead of a manual search.