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Supply chains, which increasingly rely on global connections, have had a number of disruptions over the past 12 months, requiring greater resiliency and adaptability.

Buying intentions and stock inventory can change overnight, and many supply chain systems may not be ready for rapid shifts in purchasing patterns. And even the most intelligent companies with the most sophisticated analytics may not be able to keep up without real-time data. 

This ever-changing market landscape has created a need for greater collaboration and increased information flow along the entire supply chain. Lack of cross-function support, limited workforce engagement, and lack of robust technology make it hard for organizations to achieve their supply chain goals. 

Lack of cross-function support, limited workforce engagement, and lack of robust technology make it hard for organizations to achieve their supply chain goals. Click To Tweet

To solve these challenges, your organization needs a smart, real-time, data-driven supply chain management solution that delivers: real-time visibility, continuous data, streaming artificial intelligence, early warnings, risk predictions, advanced analytics, and collaboration. All the elements needed so your company, suppliers, and your entire supply chain can adapt quickly to today’s changing conditions.

That said, think of this intelligent supply chain like a “digital nervous system” that combines leading technologies including: visual analytics, data science, streaming apps, data virtualization, metadata, and integration. All of these tools work together to create a seamless, intelligent supply chain, making full use of all the data generated. 

One example of an intelligent supply chain nervous system made possible by TIBCO is Bayer Crop Sciences. Its approach implemented enterprise-scale data integration, data virtualization, 14,000 visual analytics users, steaming image analytics, and AI and edge computing to drive precision planting and farming. 

This enabled the company to:

• Share collaborative analytics for added agility and flexibility in precision agriculture use cases
• Blend image data from drones with traditional sources (soil, irrigation, and fertilization) without moving or altering source data
• Synchronize and replicate high-scale data integrations between crop profiles and its CRM

Join us for this webinar with RTInsights to learn how you can implement TIBCO Connected Intelligence solutions to build a resilient supply chain with a digital nervous system. Also, read the paper on TIBCO’s Supply Chain Nervous System for a more in-depth look. 

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