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..
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
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
AI Agents
Specialized autonomous agents working in coordination
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.
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.
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.
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.
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.
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.
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.
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).
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.
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.
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.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
5 technologies
Architecture Diagram
System flow visualization