{"repo":"AmirhosseinHonardoust/Forecast-Factory","free":true,"listed":false,"github":"https://github.com/AmirhosseinHonardoust/Forecast-Factory","clone":"git clone https://github.com/AmirhosseinHonardoust/Forecast-Factory.git","description":"Forecast factory is an interactive AI-powered forecasting and simulation tool built with Python, Streamlit, Prophet, and SQL. It enables analysts to forecast business metrics, run what-if scenarios, and visualize results in real time, transforming predictive analytics into actionable strategic simulations.","language":"Python","stars":23,"topics":["ai","business-analytics","data-science","data-visualization","forecasting","interactive-dashboard","machine-learning","mlops","predictive-modeling","prophet"],"license":"MIT","category":"machine-learning","readme_excerpt":"ForecastFactory, AI-Driven Scenario Simulator ForecastFactory is an advanced AI-powered forecasting and simulation platform built with Python, Streamlit, Prophet, and SQLAlchemy . It enables analysts, data scientists, and business strategists to simulate business outcomes under different “what-if” scenarios , allowing organizations not just to predict, but to plan and adapt intelligently. --- Project Overview ForecastFactory bridges the gap between data-driven forecasting and strategic scenario planning . Traditional forecasting tools answer “what will happen,” while ForecastFactory explores “what could happen” under changing conditions like pricing shifts, ad budget changes, or supply constraints. Core Purpose: Empower teams to simulate future outcomes , test assumptions, and quantify the effect of strategic decisions in real time. --- Business Goal Most organizations rely on static forecasts that can’t adapt to real-world changes. ForecastFactory empowers them to: Quantify trade-offs: What if ad spend rises by 20%? Stress-test assumptions: How sensitive is revenue to a price increase? Prepare for volatility: What if demand drops due to supply shortages? It transforms forecasting from passive prediction into active decision simulation . --- Key Features AI Forecasting: Prophet-based trend, holiday, and seasonality modeling. Scenario Engine: Interactive “what-if” analysis with domain-driven adjustments. Elasticity Modeling: Realistic impact simulation via custom elasticity co","default_branch":null,"files":null,"tree":[],"storefront":"/r/AmirhosseinHonardoust","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AmirhosseinHonardoust/Forecast-Factory/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}