Case Study
AI Booking Multi-Agent Chatbot for USA Outdoor Advertising
Billboards America is a major OOH advertising operator in the USA, managing a vast nationwide inventory of physical ad spaces. With an inefficient digital sales funnel and a slow, manual campaign process, they needed a smarter way to engage customers — a 24/7 AI chatbot that could help visitors design campaigns, answer complex industry questions, and convert after-hours traffic into revenue without human intervention.
COLLAB PERIOD: SEP 2025 - DEC 2025
INDUSTRY: Outdoor Advertisement
CLIENT'S WEBSITE: billboardsamerica.com
AI Booking Multi-Agent Chatbot for USA Outdoor Advertising

Business goals

Billboards America had a clear bottleneck: their sales team was spending up to 45 minutes manually walking each prospect through campaign options — a process that simply couldn't scale. On top of that, their website offered no way for visitors to self-serve after hours, meaning qualified leads were slipping away overnight. Before setting a direction, the team aligned on a few core requirements: the solution had to work fully autonomously, integrate cleanly into existing enterprise workflows, and handle complex OOH advertising questions without needing a human in the loop. With that foundation in place, they defined the following goals:
Business goals

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.
Product description
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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.
Screenshot 2026-02-25 at 15.16.37 (1).png

How the Multi-Agent AI System Works

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.

Service API integrations:

Mapbox: Provides precise address and location mapping. 
Pinecone: Enables high-speed, semantic search of advertising knowledge. 
Zoho Customer Relationship Management (CRM): Automates real-time lead data synchronization.
NestJSNestJS
LangGraphLangGraph
OpenAI GPT-4OpenAI GPT-4
PostgreSQL and TypeORMPostgreSQL and TypeORM
AJVAJV

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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