Advanced Budget Variance Analysis & Predictive Spend Forecasting #604
Description
Objective: Implement an ML-powered budget variance analysis system that detects spending anomalies, forecasts future budget utilization, and generates automated corrective action recommendations.
Juggling Strategy: This will extend the existing
Budget
model and integrate with
Transaction
Expense
, and
Category
to provide deep variance analysis with predictive insights.
Key Files (8+):
models/BudgetVariance.js (New - Stores variance analysis results)
models/SpendForecast.js (New - Predictive spend projections)
services/varianceAnalysisService.js (New - Complex variance calculation engine)
services/spendForecaster.js (New - ML-like forecasting with seasonal patterns)
services/budgetOptimizer.js (New - Recommends budget reallocations)
routes/budget-analytics.js (New - Advanced budget analytics APIs)
public/budget-variance-dashboard.html (New - Interactive variance heatmaps)
public/js/budget-analytics-controller.js (New - Chart-heavy variance visualization)
services/budgetService.js
(Modified - Add variance tracking hooks)
server.js
(Modified - Register budget analytics routes)
Complexity Drivers:
Multi-dimensional variance analysis (time, category, department)
Trend detection and anomaly scoring
Predictive forecasting with confidence intervals
Budget reallocation optimization
Automated alert generation for overruns
Interactive variance heatmaps and drill-downs
Estimated Lines: ~1,400+ lines