Accurate demand forecasting is essential for retailers and manufacturers to optimize supply chains, reduce costs, and maximize revenue. Yet, traditional tools often fall short in delivering the level of accuracy and scalability needed today. Get Started Today!
With the Demand Forecasting Solution Accelerator, you get:
- Pre-built code, sample data, and step-by-step instructions in a Databricks notebook
- Fine-grained forecasting at the store-item level using the distributed power of the Databricks Lakehouse Platform
- Flexible implementation in Python or R
Why it matters:
According to McKinsey, improving forecasting accuracy by 10–20% can reduce inventory costs by 5% and boost revenues by 2–3%. For industries where margins are razor-thin, this can be the difference between growth and stagnation.
What you can do with this accelerator:
- Construct forecasts for each store-item combination
- Project product demand across multiple stores
- Quickly refresh forecasts as new sales data arrives
- Overcome legacy limitations with scalable, atomic-level forecasting
📊 What’s the biggest challenge you face with forecasting — accuracy, scale, or speed? Let us know in the comments!
