I will build a demand forecasting and inventory prediction model

Stop losing revenue to stockouts and wasting cash on dead inventory.

Managing stock shouldnt rely on guesswork. I engineer production-grade machine learning models designed to forecast future demand, handle complex seasonality, and predict inventory risks before they hit your bottom line.

Whether you run a high-volume Shopify storefront or manage complex multi-channel logistics, I build predictive architectures that help you make smart operational decisions under high uncertainty.

What This Gig Covers:

• Advanced Time-Series Forecasting: Custom ML models built to handle seasonal trends, promotional spikes, and organic demand shifts.
• Multi-Variant Scalability: Systems capable of tracking and forecasting demand across thousands of individual product SKUs or variants.
• Reorder Risk Detection: Automated logic that flags high-risk inventory items and calculates precise optimal reorder points.
• Actionable Insights: Clean script delivery or interactive web dashboards that replace messy spreadsheets with clear, data-driven recommendations.

My Technical Framework: Python, advanced time-series architectures (including global forecasting models), SQL, and robust data pipeline engineering.