Case study

Whatsapp Blaster & Lead Filter AI

A property sales support assistant that responds to WhatsApp enquiries, qualifies buyer needs step by step, logs lead details, follows up with quiet leads, and escalates closing conversations to humans.

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Business problem

Property sales teams lose opportunities when replies are slow or follow-ups are inconsistent.
Buyers repeatedly ask for project explanations, facilities, pricing, package details, and viewing guidance.
Lead quality suffers when budget, needs, timeline, and buyer context are not captured consistently.

What the AI does

WhatsApp response: replies quickly to incoming property enquiries and keeps leads engaged.
Lead qualification: captures budget, needs, timeline, objections, and project interest.
Project flow handling: uses approved scripts and project details for accurate answers.
Lead tracking: records key details for the sales team in an organized, searchable format.
Follow-up support: re-engages quiet leads and hands sensitive or complex cases to the right person.

Workflow

WhatsApp enquiry to qualified sales-ready lead

Coverage

Lead replies, project FAQs, Discord admin commands, follow-up

Value

Faster response, better qualification, fewer missed leads

Example workflows

Lead enters WhatsApp

A buyer asks about a property project, campaign message, package, viewing, or price range.

AI qualifies buyer

Budget, needs, project interest, timeline, objections, and previous viewing history are captured.

Lead is organized

Approved project details are shared and the buyer profile is logged for sales follow-up.

Sales handoff

Sales-ready leads, sensitive questions, and reactivated quiet leads are escalated to the team.

Next integration opportunities

CRM lead creation and updates, appointment booking, and sales person assignment.
Automated lead scoring, campaign response tracking, and viewing-slot optimization.
Project comparison recommendations, dashboard updates, and training support for new sales staff.