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System Status
Online: 3K+ Agents Active
Digital Worker 11 AI Agents Active

AI Campaign Planner

Orchestrates 11 specialized AI agents that work collaboratively to analyze campaign briefs, collect multi-source data, optimize location selection using geospatial intelligence, allocate budgets via mathematical solvers, and generate performance predictions with confidence intervals..

11 AI Agents
5 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: ai-campaign-planner

Problem Statement

The challenge addressed

Manual OOH campaign planning is time-consuming, requiring days of analysis across 14,000+ advertising locations. Media planners struggle to optimize location selection, budget allocation, and audience targeting simultaneously while balancing multiple...

Solution Architecture

AI orchestration approach

Orchestrates 11 specialized AI agents that work collaboratively to analyze campaign briefs, collect multi-source data, optimize location selection using geospatial intelligence, allocate budgets via mathematical solvers, and generate performance pred...
Interface Preview 4 screenshots

Campaign Brief input form with AI readiness score and preliminary estimates for intelligent campaign planning

AI Agent Orchestration showing 11 specialized agents collaborating in real-time with live processing metrics

AI-Generated Campaign Plan with key performance indicators, recommendations, and top location selections

Campaign Successfully Booked confirmation with AI planning impact metrics showing time saved and ROI improvements

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

11 Agents
Parallel Execution
AI Agent

Workflow Coordinator

Complex multi-agent workflows require centralized coordination to manage execution order, handle inter-agent communication, allocate resources efficiently, and recover from errors without manual intervention.

Core Logic

Initializes and coordinates 10+ specialized agents using a dependency-aware execution graph. Manages workflow state through RxJS BehaviorSubjects, routes tasks via AgentRouter tool, handles error recovery, and ensures optimal agent collaboration. Validates campaign briefs before dispatching to downstream agents.

ACTIVE #1
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AI Agent

Information Gatherer

Campaign planning requires data from multiple disparate sources including inventory databases, traffic APIs, and demographic providers. Manual data collection is slow and error-prone with inconsistent data quality.

Core Logic

Queries the InventoryDB for 14,000+ locations filtered by geography and format. Integrates TrafficAPI for real-time and historical footfall patterns. Connects to DemographicsAPI for population profiles. Performs schema validation, cross-references store locations with nearby inventory, and ensures 98%+ data completeness before passing to analysis agents.

ACTIVE #2
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AI Agent

Target Audience Expert

Matching target audience profiles to location demographics requires complex segmentation analysis. Manual audience matching often relies on intuition rather than data-driven affinity scoring.

Core Logic

Loads ML-based SegmentationEngine for audience clustering. Analyzes primary segment demographics (age, gender, income) and psychographics (interests, behaviors). Computes affinity scores using AffinityModel to identify high-resonance locations. DemographicMatcher cross-matches location profiles with target segments, identifying locations with >75% demographic alignment.

ACTIVE #3
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AI Agent

Geo-Intelligence Specialist

Selecting optimal advertising locations from thousands of candidates requires balancing multiple criteria: audience match, proximity to stores, traffic volume, cost efficiency, and coverage without overlap.

Core Logic

Initializes GeoScorer for multi-criteria location scoring. ProximityEngine calculates distances from client stores to candidate locations. CoverageOptimizer maximizes unique reach while minimizing audience overlap. Applies format preferences and runs greedy selection algorithm with diminishing returns optimization to select optimal placement network.

ACTIVE #4
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AI Agent

Financial Optimizer

Distributing campaign budgets across locations and formats to maximize ROI while respecting constraints requires complex mathematical optimization beyond manual calculation capabilities.

Core Logic

Loads OptimizationSolver with convex optimization engine. Runs Monte Carlo simulation testing 10,000+ allocation scenarios. ConstraintEngine enforces budget limits, minimum allocations, and format requirements. AllocationModel distributes budget using mathematical optimization, achieving CPM targets below industry average with 87%+ efficiency scores.

ACTIVE #5
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AI Agent

Forecasting Analyst

Estimating campaign performance before launch involves significant uncertainty. Without predictive modeling, planners cannot confidently forecast reach, frequency, footfall impact, or ROI.

Core Logic

Initializes ensemble prediction model combining XGBoost and LSTM networks. HistoricalAnalyzer benchmarks against 200+ similar campaigns. ForecastModel predicts reach distribution, frequency curves, and footfall lift. ConfidenceEstimator quantifies uncertainty providing confidence intervals (e.g., 93-107% of predicted values) for all metrics.

ACTIVE #6
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AI Agent

Risk Management Expert

Campaign plans face various risks including market volatility, inventory availability, competitive activity, and timing factors. Without systematic risk assessment, planners cannot proactively mitigate potential issues.

Core Logic

RiskScanner identifies market, execution, and competitive risks. ImpactAnalyzer quantifies risk probability and potential impact on campaign KPIs. Evaluates competitive landscape detecting active competitor campaigns. MitigationPlanner generates countermeasure strategies including budget reserves and contingency plans. Produces overall risk scores with recommended mitigations.

ACTIVE #7
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AI Agent

Strategic Advisor

Synthesizing outputs from multiple specialized agents into coherent, actionable recommendations requires strategic analysis to prioritize actions and communicate trade-offs effectively.

Core Logic

InsightGenerator aggregates findings from all agents, extracting key insights and opportunities. ActionPrioritizer ranks recommendations by expected impact and implementation effort. Analyzes trade-offs made during optimization. NarrativeBuilder generates executive summaries tailored for different stakeholder audiences (CXO, technical, business analyst views).

ACTIVE #8
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AI Agent

Market Intelligence Specialist

Static campaign plans cannot adapt to dynamic market conditions including competitor activity, trending topics, and real-time pricing fluctuations that affect optimal media placement.

Core Logic

MarketPulseAPI monitors live market indicators and demand levels. CompetitorRadar tracks active competitor campaigns detecting budget changes and new launches. TrendAnalyzer monitors social and news trends for contextual relevance. PricingIntelligence provides dynamic CPM data enabling real-time optimization recommendations.

ACTIVE #9
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AI Agent

ESG & Carbon Footprint Expert

Advertisers increasingly require ESG compliance and carbon footprint transparency. Manual carbon accounting across hundreds of screen locations is impractical without automated analysis.

Core Logic

CarbonCalculator estimates CO2 emissions per location based on screen type, power consumption, and operating hours. GreenScorer rates locations by sustainability criteria including renewable energy sources. ESGValidator verifies compliance with environmental standards. EcoAlternatives identifies greener placement options that maintain campaign effectiveness.

ACTIVE #10
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AI Agent

Contextual Intelligence Specialist

Outdoor advertising effectiveness varies significantly with weather conditions and local events. Without contextual intelligence, campaigns miss optimization opportunities tied to environmental factors.

Core Logic

WeatherAPI integrates multi-day forecasts for all campaign cities. EventsCalendar monitors local events, holidays, and gatherings affecting foot traffic. SeasonalAnalyzer identifies cyclical patterns in location performance. ContextOptimizer recommends timing adjustments and dynamic creative triggers based on weather and event proximity.

ACTIVE #11
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

The AI Campaign Planner is a multi-agent orchestration system that transforms campaign briefs into optimized media plans. It processes audience demographics, location inventory, traffic patterns, weather data, and competitive intelligence to generate data-driven recommendations with full explainability and reasoning traces.

Tech Stack

5 technologies

RxJS for reactive state management

Inventory Database API

Traffic Analytics API integration

Demographics data provider connection

Real-time weather service integration

Architecture Diagram

System flow visualization

AI Campaign Planner Architecture
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