Wayne, Pennsylvania — Elemica has introduced Elemica Pulse, a new solution that provides real-time predictive visibility from customer order to supplier delivery and the complete order-to-cash and procure-to-pay process.
Elemica Pulse enables companies to have greater ability to satisfy customer service levels, mitigate supply chain risk, and streamline cash collection and payments. Leveraging predictive intelligence, Elemica Pulse uses innovations in machine learning to help predict outcomes and correlate the dynamic influencers on their supply chain anomalies. By measuring the contributing impact, companies then achieve competitive advantage by adding value-added solutions that improve the customer experience while reducing cost to serve.
“While supply chain visibility is not new, the ability to gain deep visibility with embedded predictive analytics is. Gleaning historical data from disparate enterprise systems including the customer, supplier, and logistics providers is what businesses have been needing for a long time,” said Rich Katz, chief technology officer of Elemica. “This is the next generation of visibility, utilizing machine learning to deliver unprecedented end-to-end supply chain visibility.”
As the Elemica Business Network captures event and transaction data across the entire network, it creates a critical mass of historical business information that is used to generate strategic and actionable insights. For example, if a carrier promises next-day delivery, Elemica Reality Check analyzes network data using proprietary algorithms to make an accurate prediction of delivery, alerting users on a high probability of late delivery.
“Today’s businesses expect the same customer experience that consumers get from their online vendors with full visibility in real time, regardless of mode,” said Adrian Gonzalez, president of Adelante SCM. “Therefore, the need to convert data into actionable insights is more important than ever, and industry business networks, which enable trading partners to connect, communicate, and collaborate in more scalable and efficient ways, are responding by innovating their platforms with machine learning, artificial intelligence and predictive analytics capabilities.”