Recreation Intelligence
Applies AI/ML to optimize recreation program planning, dynamic pricing, facility utilization, weather-responsive operations, and delivers a modern digital recreation experience including mobile app, virtual programs, inclusive recreation, and customer journey optimization.
Forecast Accuracy
Weather Response
Mobile App Load
Stream Latency
Purpose-Built for Canadian Municipalities
Purpose & Scope
What this module owns
Clear ownership boundaries prevent duplication and ensure every capability has exactly one authoritative home.
Owns
10Delegated to
4Model training, prediction
Facility sensors, environmental monitoring
Mobile app, public portal
Dashboards, reports
These capabilities are handled by dedicated modules and consumed via stable API contracts — keeping boundaries clean and ownership unambiguous.
Core Capabilities
What it does
4 capability groups comprising 10 discrete capabilities — each with API surface, business rules, and data ownership.
ML predicts program demand by activity, age, location, day/time, and season to identify underserved areas and recommend new offerings.
Prediction
ML predicts program demand by activity/age/location/day/time/season. Identifies underserved areas/demographics.
Gap Analysis
Gap analysis recommends new offerings. Uses historical registrations, waitlists, demographics, population projections.
AI-optimized pricing within council-approved ranges — premium for peak demand, discounts for off-peak, with subsidy protection.
AI-Optimized
Premium for peak/oversubscribed, discount for off-peak/low-fill. Early bird and last-minute pricing.
Guardrails
Within council-approved ranges. Price elasticity modeling. Subsidy-protected (never affects subsidized registrations).
Visual utilization per room/court/pad by hour/day/week/month with scheduling recommendations.
Visualization
Visual per room/court/pad/lane by hour/day/week/month. Peak (red), moderate (yellow), underutilized (green).
Optimization
Optimal scheduling recommendations. Maintenance window scheduling in low-utilization periods. Rental opportunity identification.
Every module owns a single bounded context, exposes stable APIs, and can be composed into any Civic product — that's the architecture that scales.
Krutik Parikh
Creator of Civic
Data Model
Entity Architecture
5 entities with 5 relationships — the authoritative schema for this bounded context.
Entities
Select an entity to explore its fields and relationships
API Surface
Integration Endpoints
7 RESTful endpoints across 6 resource groups — plus 3 domain events for async integration.
/api/v1/recreation/forecast
Demand forecasts
/api/v1/recreation/utilization/heatmap
Utilization heat maps
Ecosystem
Products that depend on this module
1 Civic products consume Recreation Intelligence — making it one of the most critical platform services in the ecosystem.
Technical Specifications
Performance, Compliance & Configuration
Weather Cancellation
Demand Forecast Accuracy
Mobile App Performance
Virtual Stream Latency
Amenity Status Update
FAQ
Frequently Asked Questions
Ready to Integrate
Build on Recreation Intelligence
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