demand-planning

Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain

Forecast-driven inventory optimization project for retail demand planning, combining SARIMAX, ML model comparison, feasibility auditing, Monte Carlo simulation, and inventory policy optimization.

demand planning engine that combines probabilistic forecasting, conformal prediction, and ordering policies into a single backtestable pipeline

DuckDB extension for Git-like database branching. Create isolated scenarios for what-if analysis with copy-on-write storage, diff comparisons, and audit trails.

Creating Supply & Demand during tough times of lockdown caused by COVID-19

Counterfactual attribution for multi-series time-series forecasters, explain why a forecast is what it is, with contributions that sum exactly to the prediction.

A spare engine placement generator based on a Finite-Horizon Markov Decision Process

Multi-model time-series forecasting with Bayesian Optimisation (Optuna TPE): SARIMA, Random Forest, XGBoost, LightGBM, Prophet, LSTM, and QuantileML probabilistic forecasts behind a unified ModelSpec protocol. Walk-forward validated; supports monthly, weekly, daily, and hourly data.

Time series demand forecasting; regression vs. baseline comparison across product categories. Python, Pandas, scikit-learn.

Sales forecasting dashboard using Power BI, LSTM models, and SHAP for explainable insights

Zero-dependency demand forecasting for seasonal businesses. Pure statistics, no ML, no cloud costs.

Warehouse demand forecasting — Prophet, ARIMA & ensemble models. Stock alerts, What-if simulator, PDF purchase orders. 45 French SKUs, 11-tab dashboard.

Executive-level B2B Sales Forecasting & Revenue Trend Analysis dashboard built with HTML, CSS, and JS, featuring a Pandas aggregation pipeline to analyze 100k+ transactional sales records.

Logility — independent third-party profile of a public API surface, by API Evangelist. Logility is an AI-powered supply chain planning platform providing solutions for demand sensing, inventory optimization, supply planning, S&OP process management, and supply chain analytics.

o9 Solutions — independent third-party profile of a public API surface, by API Evangelist. o9 Solutions is an enterprise AI platform for integrated planning and decision-making, founded in 2009 by Sanjiv Sidhu (previously founder of i2 Technologies) and Chakri Gottemukkala, and headquartered in Dallas, Texas.

Demand shaping through pricing and promotion optimization

Demand forecasting model and inventory policy simulation built in Excel — using FORECAST.ETS, safety stock calculation and scenario testing to minimize stockouts and reduce reorder frequency by 32%.

Top-down demand disaggregation from aggregate forecast to SKU-location level

Demand forecasting models for supply chain and inventory planning

Inventory planning dashboard for an Amazon catalog: demand forecast, reorder points, safety stock and coverage risk across parent/child multipack SKUs. Synthetic data, zero dependencies.