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.
Join this demo on 26 October to learn how to use data science models to generate inventory recommendations that correctly forecast demand. An expert will cover how to:
- Create a single source of truth for all purchase order and stock availability data
- Create a data science 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
Speaker
Luca Bandini
Field CTO,
Snowflake