Active Analytics for Dynamic Inventory Replenishment

MEET THE HOST: Saif Ahmed – Product Owner-Machine Learning, Kinetica

For retailers, ensuring products are always in stock is a top priority. However, with the complexity of the modern supply chain and the sheer number of SKUs involved, this is a significant logistical challenge. Retailers need to be able to analyze data from stores in real-time and adjust inventory to meet customer demand. Kinetica works with one of the world’s largest retailers to power dynamic inventory replenishment to ensure their customers always have what they need.

IN THIS TECH TALK WE’LL DISCUSS:

• Challenges to delivering dynamic inventory replenishment at scale
• Key components of a data-driven replenishment solution
• An example of how active analytics enables real-time analysis of streaming point of sale data to power inventory replenishment