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
Monthly demand forecasting using SARIMA + Bayesian Optimisation (Optuna TPE). Walk-forward validated against seasonal naïve, ETS, and AutoARIMA baselines.
Stochastic model to predict event probability and forecast store demand using Python
GenAI demand planner v2 with multimodal data fusion
Product demand cannibalization model for new product launch impact
Demand shaping through pricing and promotion optimization
Warehouse wave planning order release
Supply chain scenario planning tool with what-if analysis capabilities
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
Forecasting weekly product demand using ARIMA, SARIMAX, and regression models. Built with Microsoft Fabric Lakehouse architecture to improve stock management and minimize stockouts.
The complete guide to demand forecasting - from moving averages to transformers
PPE and essential goods demand spike forecasting using change-point detection
Top-down demand disaggregation from aggregate forecast to SKU-location level
Demand forecasting models for supply chain and inventory planning
XYZ demand variability classification
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