How to use AI & ML to optimize supply chain analytics with Sisu
Supply chain incidents and delays are painful and costly—impacting customers and resulting in lost revenue. However, many businesses lack the resources required to quickly and accurately diagnose, resolve, and reduce these incidents. By leveraging augmented analytics, data analysts and decision-makers can reduce these incidents to increase profits, improve customer satisfaction, and mitigate risk.
In this session, we'll explore data with Spire to quantify the impact these incidents are having on the global supply chain and the power advanced datasets can bring to supply chains. We'll also discuss how companies of all sizes are using Sisu’s Decision Intelligence Engine to scan across their entire supply chain and related data to reveal which factors have the greatest influence on incidents. Attendees will learn how Sisu’s proprietary Machine Learning algorithms help data teams focus on the key drivers of supply chain disruptions, expose contextual insights, and help drive data-informed decisions. This session will also include a live demonstration to show how Sisu automatically analyzes complex data sets to help reduce supply chain incidents, inefficiencies, and disruptions.