2026ForeC
ForeC
Desktop forecasting app delivered for CNEP Banque. Non-technical staff import any monthly time series and generate SARIMA forecasts with confidence intervals — no code required.
ElectronFastAPIPythonR
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The Challenge
CNEP Banque needed a way for non-technical banking staff to generate accurate financial forecasts using advanced statistical models, without requiring data science expertise or writing code.
02 — SECTION
The Solution
Built a user-friendly desktop application (Electron) with a Python/FastAPI backend that wraps complex R-based SARIMA forecasting models behind an intuitive drag-and-drop interface.
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Key Features
01
Drag-and-drop CSV import for monthly time series data
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Automated SARIMA model training and hyperparameter tuning
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Visual dashboard for forecast results with confidence intervals
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Exportable PDF reports for stakeholder presentations
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Impact & Results
Empowered branch analysts to generate accurate financial forecasts in minutes rather than relying on a centralized data team, streamlining the decision-making process.