SKU Demand Forecasting System

Category

Big Data & Analytics

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Year

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PySpark Demand Forecasting is an end-to-end big data machine learning pipeline developed to optimize supply chain inventory planning, reduce holding costs, and prevent stockouts.

About the Brand

Sham is a warm, expressive digital template inspired by culture, light, and storytelling. Rooted in a sense of familiarity and depth, it’s designed for brands that want to feel human, grounded, and visually rich without losing clarity.

Whether used for creative studios, personal brands, or cultural projects, Sham creates an atmosphere that feels inviting and memorable—where content is not just presented, but experienced.

Where Warmth Meets Expression,
Designed to Feel Alive

The idea behind Sham was to move beyond purely minimal design and introduce emotion into the experience. It blends structure with softness, allowing visuals, typography, and spacing to work together in a way that feels natural and fluid.

System Features

SKU Demand Forecasting includes several core features that support daily supply chain planning and improve overall forecasting accuracy.

  • Automated T+2 monthly demand forecasting

  • Distributed big data processing pipeline

  • Time-lagged & cyclical feature engineering

  • Chronological train-test evaluation model

  • Multi-model benchmarking & performance scoring

  • Warehouse-level stock allocation optimization

Technologies Used

The application was developed using modern big data technologies to ensure scalability and maintainability.

  • Apache Spark (PySpark)

  • Spark MLlib

  • Spark SQL

  • Python

  • Pandas

  • Matplotlib & Seaborn

  • Google Colab

  • Git & GitHub

My Contribution

As the project creator, I designed and implemented the end-to-end big data forecasting pipeline, from raw data cleaning to distributed model deployment. I engineered time-series features, built automated Spark MLlib workflows, conducted model benchmarking across Linear Regression and Tree ensembles, and analyzed forecast metrics to provide actionable supply chain recommendations.

A Living System

Sham is designed to grow alongside the brand it represents. As content evolves and stories expand, the template provides a consistent yet flexible foundation to build on.

Design that Connects and Lasts

Every element in Sham works to create a sense of connection—between brand and audience, structure and emotion. It’s a system that doesn’t just showcase content, but brings it to life with warmth, depth, and intention.

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