AI Creative Intelligence
Orchestrates 8 specialized AI agents that analyze creative assets using computer vision, profile location demographics, monitor competitor activity, generate optimal matches with explainable reasoning, optimize budgets, calculate sustainability metrics, forecast performance, and create dynamic content rules..
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
AI Creative Intelligence input screen with campaign brief, creative assets, and agent pipeline for automated creative-location matching
Multi-Agent Orchestration showing 8 specialized agents analyzing creatives, profiling locations, and evaluating optimal matches
Campaign Optimization Results with business impact summary, performance forecasts, and 99.5% time savings vs manual process
Campaign Deployment confirmation showing AI-optimized creative-location matches deployed across 127 DOOH screens
AI Agents
Specialized autonomous agents working in coordination
Vision Analysis Agent
Understanding creative content for targeting requires analyzing visual elements, themes, color palettes, and emotional appeal. Manual creative analysis is subjective and inconsistent.
Core Logic
Uses GPT-4 Vision to analyze creative assets extracting primary themes (Luxury, Urban, Family), tone classification, and emotional appeal vectors. Performs color palette analysis for positioning strategy. Identifies key messages and visual elements. Calculates audience affinity scores by age group, gender, and income level. Generates quality scores and engagement predictions with 94% confidence.
Location Intelligence Agent
Building comprehensive location profiles requires integrating multiple data sources including traffic patterns, demographics, competition levels, and historical performance across hundreds of screens.
Core Logic
Custom ML Pipeline connects to Vodafone Analytics API for footfall data (156K+ records). Profiles 127 locations across 5+ cities with demographic breakdowns (predominant age, gender split, income level). Classifies environments (Shopping District, Transit Hub, Business Center). Integrates GfK demographic data and historical performance metrics. Identifies 23+ premium locations with >80% audience match.
Competitive Intelligence Agent
Media planning without competitive context leads to suboptimal positioning. Planners need visibility into competitor campaigns, market trends, and differentiation opportunities.
Core Logic
Market Analysis combined with LLM scans active DOOH campaigns in target markets. Detects competitor presence, spend estimates, and location strategies. Calculates audience overlap percentages and threat levels. Identifies market gaps (e.g., underutilized dayparts). Analyzes industry benchmarks, seasonal factors, and regional economic indicators. Generates differentiation strategies based on competitive gaps.
Creative-Location Matching Agent
Optimal creative-location pairing requires multi-criteria optimization balancing audience alignment, context relevance, format compatibility, timing, and competitive advantage across hundreds of combinations.
Core Logic
MCDA Optimizer evaluates 500+ creative-location pairings using weighted scoring (Audience 40%, Context 30%, Format 15%, Timing 15%). Applies constraint satisfaction for format compatibility and exclusion rules. Generates match scores with detailed breakdowns. Produces explainable reasoning for each assignment. Identifies optimal matches exceeding 80% threshold with recommended schedules and priority rankings.
Budget Optimization Agent
Distributing media budgets across locations to maximize ROI requires mathematical optimization considering diminishing returns, competitive bidding, and impression share targets.
Core Logic
Knapsack algorithm combined with Kelly Criterion optimizes budget allocation across matched locations. Allocates 23% of budget to top 10 premium locations for maximum impact. Calculates expected ROI per location with confidence intervals. Recommends bid multipliers for high-value dayparts. Produces budget plans with impression share projections.
Sustainability & ESG Agent
Advertisers require carbon footprint transparency and ESG compliance verification. Manual environmental impact assessment across screen networks is impractical and inconsistent.
Core Logic
Carbon Calculator computes total campaign emissions (kg CO2e) and emissions per impression. Analyzes energy consumption by location (kWh) with renewable percentage. ESG Framework calculates environmental, social, and governance scores with industry ranking. Identifies 15%+ carbon reduction opportunities through schedule optimization. Verifies EU Green Deal alignment and generates green recommendations with cost-impact analysis.
Performance Forecasting Agent
Predicting campaign performance requires time series modeling accounting for seasonality, trends, and uncertainty. Point estimates without confidence ranges provide incomplete decision support.
Core Logic
Holt-Winters combined with ARIMA models historical performance data. Forecasts total impressions and reach with weekly seasonality detection (peaks on Saturdays). Generates scenario analysis (best/expected/worst cases) with confidence intervals. Produces ROI projections enabling informed go/no-go decisions.
Dynamic Rules Agent
Static campaign deployment cannot adapt to real-time context changes. Weather conditions, local events, and performance signals should trigger automatic creative optimization.
Core Logic
Rule Engine with Complex Event Processing analyzes contextual triggers including time, weather, events, and performance metrics. Generates 5+ dynamic content rules (Morning Commute activation, Weather-based creative swaps, Weekend modes, Event proximity boosts). Estimates impact per rule (e.g., +22% engagement for weather triggers). Validates rules and produces deployment-ready configurations.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
6 technologies
Architecture Diagram
System flow visualization