Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain

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

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

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

Monthly demand forecasting using SARIMA + Bayesian Optimisation (Optuna TPE). Walk-forward validated against seasonal naïve, ETS, and AutoARIMA baselines.

Demand shaping through pricing and promotion optimization

GenAI demand planner v2 with multimodal data fusion

Product demand cannibalization model for new product launch impact

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

Forecasting weekly product demand using ARIMA, SARIMAX, and regression models. Built with Microsoft Fabric Lakehouse architecture to improve stock management and minimize stockouts.

Demand regime change detection

Aggregate production planning linear programming

Demand orchestration platform unifying S&OP with execution

AI demand sensing tower with multi-horizon planning

Near-term demand sensing ML external signals

Multi-method demand forecasting toolkit using ARIMA, Prophet, LSTM, and XGBoost for supply chain planning with automated model selection and accuracy benchmarking

XYZ demand variability classification

The complete guide to demand forecasting - from moving averages to transformers

PPE and essential goods demand spike forecasting using change-point detection

End-to-end supply chain analysis using SQL and Excel — uncovering delivery performance, fulfilment efficiency, product profitability and order priority insights across 2,500 orders.