Case Study

AI Booking Multi-Agent Chatbot for USA Outdoor Advertising

Billboards America is a major player in the Out-of-Home (OOH) billboards advertising market in the USA. They manage an extensive inventory of physical advertising spaces. These are across the country. Despite their market position, their digital sales funnel was inefficient, which is why they needed to make some changes.

The manual campaign process was high-friction and slow. It could not keep pace with modern customer expectations. The objective was clear: Billboards America needed a 24/7 AI chatbot. This system had to empower visitors to design campaigns in minutes. It needed to provide expert answers to complex industry questions. The goal was to attract leads without a human in the loop by turning after-hours traffic into revenue.

Business goals

Every AI agent should handle inquiries without human oversight.

Reduce campaign creation time from 45 minutes to under 10.

Ensure 100% data retention during complex dialogues.

Use the AI chatbot to double the lead-to-opportunity ratio.

Build a robust, "clockwork" system integrated with enterprise tools.

Product description

We developed a sophisticated multi-agent system on LangGraph JavaScript (JS). This orchestration framework acts as the system's "brain." Unlike a traditional AI chatbot, this architecture allows specialized agents to collaborate. They maintain a persistent "state." This ensures the AI agent never loses track of the user's progress.

Challenges

The user experience challenge: Potential advertisers found the process exhausting. A brand manager typically spent over 45 minutes searching for locations. Then, they waited days for a manual quote. This friction caused "lead decay." Interest evaporated due to latency. Only 15–20% of people who asked about the product were likely to buy it.

The architectural challenge: The legacy website architecture was a major hurdle. It could not support high-level automation or complex data sync. It lacked the speed for a modern, "always-on" experience. Minor tweaks were not enough. We needed a complete shift toward a system that works like a Swiss watch.

State management failure: Simple automated systems often "forgot" what the user said two minutes prior. This forced customers to repeat information and led to high drop-off rates.

Test

Approach

The journey starts with the Dispatcher AI agent. It prioritizes identity and lead capture. Names and emails sync instantly with a 3rd party system. This secures the lead before the consultation deepens. If users have strategy questions, the Knowledge Provider AI agent steps in. It uses Retrieval-Augmented Generation (RAG) and the Pinecone Vector Database. This delivers expert answers from a curated advertising library.

The entire flow uses Guardrails via the OpenAI Moderation Application Programming Interface (API). This filters off-topic content. If a human is needed, the Support Handoff AI agent creates a high-priority ticket in Zoho Customer Relationship Management (CRM). It provides managers with the full transcript for a seamless closing.

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Technologies Used

We leverage cutting-edge technologies to deliver robust, scalable, and maintainable solutions

NestJS: Builds efficient, scalable server-side applications.

LangGraph: Manages state and logic between different Artificial Intelligence agents.

OpenAI GPT-4: Powers reasoning and natural language interaction.

PostgreSQL and TypeORM: Manages transactional data and billboard inventory.

AJV: Ensures all exchanged information meets strict quality standards.

NestJS: Builds efficient, scalable server-side applications. - 30%

LangGraph: Manages state and logic between different Artificial Intelligence agents. - 25%

OpenAI GPT-4: Powers reasoning and natural language interaction. - 25%

PostgreSQL and TypeORM: Manages transactional data and billboard inventory. - 10%

AJV: Ensures all exchanged information meets strict quality standards. - 10%

Why These Technologies?

Our technology stack is carefully chosen to ensure optimal performance, security, and scalability. Each technology serves a specific purpose in creating a robust and maintainable solution that can grow with your business needs.

Result

The transformation proved that intelligent automation drives business growth.

Campaign creation time: Before 45 minutes -> After 10 minutes (4.5x speed increase).

Lead conversion rate: Before 15% – 20% -> After 35% – 45% (2.2x growth).

Consultation automation: Before 0% -> After 70% (Major efficiency gain).

Support handling time: High manual effort -> Automated context (50% reduction).

By implementing this AI chatbot system, Billboards America moved beyond traditional service. They now have a revenue accelerator. It works around the clock to capture and qualify leads with impossible precision.

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