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| Formato: | Recurso digital |
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Zenodo
2026
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| Acceso en línea: | https://doi.org/10.5281/zenodo.18760333 |
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- <h2>Mini ERP Demand Forecasting System – Proof of Concept</h2> <p>This release corresponds to the academic preprint draft titled:</p> <p><strong>"Demand Forecasting for Seasonal FMCG Products Using a Mini ERP System."</strong></p> <h3>Key Features</h3> <ul> <li>Integrated demand forecasting module within a mini ERP system</li> <li>Real-world ERP order line data processing (anonymized, FMCG context)</li> <li>Monthly demand aggregation at SKU level</li> <li>Forecasting methods implemented:<ul> <li>Simple Moving Average (SMA)</li> <li>Simple Exponential Smoothing (SES)</li> <li>Holt–Winters Seasonal Exponential Smoothing</li> </ul> </li> <li>Comparative evaluation using:<ul> <li>Mean Absolute Percentage Error (MAPE)</li> <li>Root Mean Square Error (RMSE)</li> </ul> </li> <li>Interactive forecasting UI with visualization and method recommendation</li> </ul> <h3>Experimental Setup</h3> <ul> <li>Time granularity: Monthly</li> <li>Forecast horizon: 3 months</li> <li>Evaluation: Hold-out testing using the last 3 months of data</li> </ul> <h3>Purpose of This Release</h3> <p>This release serves as a <strong>proof-of-concept</strong> for an academic study and is intended for:</p> <ul> <li>Demonstrating system design and implementation</li> <li>Supporting reproducibility of forecasting methodology</li> <li>Linking the software artifact to a DOI via Zenodo</li> </ul> <h3>Notes</h3> <ul> <li>Dataset used in experiments is anonymized and not publicly included due to confidentiality constraints.</li> <li>The system is deployed as a live demo for academic evaluation purposes.</li> </ul>