Demand Forecast
AI-powered Demand Forecast App analyzes historical sales data to predict future demand accurately, optimizing production and inventory management for improved efficiency and cost reduction.
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Key Features
Classical Algorithms
Uses ETS, ARIMA, Prophet, Random Forest, and SVM for forecasting.
Model Competition
Compares models and selects the best based on performance metrics.
Outlier Detection
Detects and imputes outliers to improve forecast accuracy.
KPI Forecast System
Includes key performance indicators to evaluate forecast reliability.
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Why Choose Demand Forecast
Automatic Modeling:
Selects the best forecasting model per SKU automatically, saving time.Interactive Visuals:
Provides clear graphs to analyze demand trends and forecasts.Data Flexibility:
Supports easy upload of Excel/CSV files with column mapping.
Pricing
The app offers a free version with usage limits and a pay-what-you-want pricing model starting at $0+. For detailed pricing, visit the official Gumroad page.
About Demand Forecast
AI-powered Demand Forecast App analyzes historical sales data to predict future demand accurately, optimizing production and inventory management for improved efficiency and cost reduction.
What Demand Forecast Does
This tool generates accurate demand forecasts by analyzing historical sales data using various classical machine learning models. It benefits users by enabling precise production and inventory planning.
It automatically compares models like ETS, ARIMA, Prophet, Random Forest, and XGBoost, selecting the best based on RMSE. Users upload Excel or CSV data, set forecasting parameters, and receive visualized predictions with confidence intervals.
Ideal for industries managing product demand, it supports supply chain optimization and operational efficiency for SMEs and enterprises alike.
Pros & Cons
User-Friendly
Clean interface with easy data upload and clear forecast outputs.
Free Access
Offers a free version with essential features and usage limits.
Limited Free Use
Free version restricts SKUs per run and session concurrency.
Requires Data Prep
Users must format data correctly before uploading for forecasts.
Frequently Asked Questions
It uses ETS, ARIMA, Prophet, Random Forest, and SVM models for demand forecasting.
Yes, a free version supports up to 10 SKUs per run with some usage limits.
Upload CSV or TXT files with SKU, period, and demand columns, then map them in the interface.
Yes, forecasts and performance metrics can be downloaded as CSV files.
Support is available via email at [email protected] and WhatsApp +57 300 832 2412.
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