By optimising their supply chains, retailers can reduce costs, improve inventory management and improve customer satisfaction. To accomplish this, they must maintain a reliable flow of relevant, accurate data and have the ability to translate that data into actionable insights.
Watch this demo featuring Snowflake, Streamlit and dbt to learn how to use machine learning models to correctly forecast demand and generate accurate inventory recommendations. An expert will cover how to:
- Create a single source of truth for all purchase order and stock availability data
- Create and operationalise an ML model using this data
- Deploy the model to gain inventory recommendations to maintain lean inventory and reduce waste
- Create a Streamlit application that visualises the data for other business users