AI Products and PlatformsStatus: In Development

Sales Wizard

AI-Powered Real Estate Sales Intelligence and Customer Engagement

[SALES WIZARD UI & AGENT ARCHITECTURE]

Conceptual architecture and public-safe interface diagram

Harrison's Contribution

Product Concept Creator and Technical Architect. Defined product requirements, designed conversation flow trees, configured prompt architectures, and structured API integration blueprints.

Intended Stakeholders

Real estate agencies, property development firms, brokerage teams, and high-ticket sales organizations managing high-volume inbound leads.

Core Technologies

LLM Agent FrameworksWhatsApp Business APINext.js / React

Project Overview

Sales Wizard is an AI product concept designed to address high-friction lead qualification and buyer follow-up in competitive high-ticket industries, starting with Nigerian residential real estate. It pairs conversational LLM agents with native WhatsApp communication to qualify prospects and coordinate sales viewings.

The Problem & Opportunity

Real estate agents and property developers in urban hubs like Lagos and Abuja lose over 60% of potential buyer inquiries due to delayed response times, disorganized WhatsApp chats, and inefficient manual qualification. Human agents spend hours answering repetitive basic questions rather than closing qualified buyers.

Key Objectives

Provide immediate 24/7 conversational response to inbound inquiries via WhatsApp.

Intelligently qualify prospective buyers across budget, preferred location, property type, and purchasing timeline.

Score leads algorithmically (0-100) to prioritize high-intent prospects for human agents.

Automate property viewing scheduling and follow-up reminders.

Solution & Implementation

Conversational WhatsApp Agent: An intelligent assistant that responds naturally to prospective buyers, answers property questions, and shares catalog links.

Dynamic Lead Scoring Model: Analyzes prospect engagement depth, budget alignment, and urgency to assign real-time qualification scores.

Agent Handover Workflow: Intelligently detects high-intent buying signals and alerts human brokers at the optimum closing moment.

CRM & Pipeline Synchronization: Automatically updates customer profiles, conversation logs, and viewing requests into central sales databases.

Technologies & Tooling

LLM Agent FrameworksWhatsApp Business APINext.js / ReactWebhook RoutingLead Qualification Logic

Challenges & Key Decisions

Hallucination Risk: In real estate, misquoting property prices or availability destroys buyer trust. Decision: Bound the LLM strictly to verified database property schemas with clear fallback responses for unconfirmed details.

User Preference for Human Touch: High-ticket buyers require human trust. Decision: Positioned the AI as a helpful concierge whose explicit goal is connecting the buyer with a verified human property specialist.

Verified Results & Outcomes

Prototype architecture and conversational workflows engineered and demonstrated.
Clear product roadmap established with active feedback from regional real estate professionals.

Project Evidence & Media

[SALES WIZARD PROTOTYPE INTERFACE]

Visual overview of lead routing, scoring algorithms, and WhatsApp integration.

Product Funnel & Architecture Diagram

Visual overview of lead routing, scoring algorithms, and WhatsApp integration.

Lessons Learned

AI in high-ticket African sales must complement human relationship managers, not attempt to replace them.

WhatsApp is the undisputed operating system of Nigerian commerce; tools that ignore WhatsApp face insurmountable friction.

Future Opportunities

Direct integration with Nigerian property listing platforms.

Multilingual conversation support in Pidgin and major local languages.

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