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Sales & Demand Forecasting System

Time-series forecasting across many SKUs with automated retraining and forecast versioning to drive inventory decisions.

Sales & Demand Forecasting System
Role
ML Engineer — pipeline & deployment
Context
Retail / supply chain
Category
AI & Data Solutions

Overview

A demand-forecasting system that combines historical sales, promotions, seasonality and external market signals to predict sales across SKUs — deployed with automated retraining so forecasts stay current, and versioned so decisions are auditable.

What I did

  • Designed and deployed a time-series forecasting system to predict product demand and sales trends across multiple SKUs.
  • Integrated historical sales, promotions, seasonality, and external market trends to improve forecasting accuracy.
  • Built a modular data pipeline for data ingestion, preprocessing, model training, and prediction delivery.
  • Deployed forecasting models using AWS SageMaker, with automated retraining and forecast versioning.
  • Enabled inventory optimization, reduced overstocking, and supported strategic planning decisions.
  • Delivered a scalable and cost-efficient solution using Docker, FastAPI, and CI/CD workflows.

Tech

Time-Series ForecastingXGBoostAWS SageMakerDockerFastAPICI/CD

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