This customer relies on real-time analytics and AI/ML models for demand forecasting, inventory management, and logistics. But running intensive AI workloads across multiple locations created latency, data silos, and scaling issues.

For a global CPG giant like this, any interruption to the supply chain can cost millions of dollars per day. Any problems with the underlying infrastructure — from delayed software updates to security breaches — could be catastrophic.

This business  chose Spectro Cloud Palette to provide a complete, automated lifecycle management solution for all its Kubernetes clusters: from edge, on-premises, and data centers, to AWS.

Using  Spectro Cloud Palette, the company’s platform team can automate Kubernetes upgrades and security patching, with zero downtime. Any deployment fails across factory or warehouse sites can be instantly rolled back to a known good state. The company also leveraged Palette’s automated backup and disaster recovery features to achieve higher service availability across large numbers of sites.

To accelerate deployment of AI-powered  applications consistently across cloud, on-premises, and edge environments, the customer’s operations team can take advantage of Palette’s Cluster Profiles, focusing on Amazon EKS. The customer can now easily create Amazon EKS  blueprints of the entire software stack in each cluster, from OS and Kubernetes distribution, to the applications themselves.

With Palette’s unique decentralized architecture, new deployments and  rolling upgrades can be actioned in parallel across all K8s clusters, significantly enhancing the time-to-market for new application releases or critical security patches, resulting in a more resilient platform.

Finally, thanks to seamless integration with Terraform, Palette works with the tools the team already had in place. With Palette, the operations  team can easily manage their K8s and scale with confidence.

Empowered by Palette’s full stack declarative management, the customer can now roll its upgrades and security patches from a single management point in the supply chain to any application, with no downtime.  It can now seamlessly use AI to optimize inventory management across retail stores and manufacturing lines.

Our unique solution decreased the customer’s update timeframe from days, or sometimes weeks, to hours. Unlocking this agility supports the customer’s scaling plans and innovation time-to-market, freeing its IT teams  to focus even more on their business strategy and core product.

CPG companies can enhance their analytics capabilities beyond the cloud. By executing AI models on Kubernetes clusters at the edge, they can expedite supply chain decisions and bring them closer to operational activities and the data they generate.

This customer’s success proves that Kubernetes isn’t just for tech companies — it’s a strategic advantage for CPG brands looking to optimize operations and supply chain management,  and stay competitive in an increasingly digital and AI-driven industry.
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Recommendations for other CPGs:
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Use real-time AI and predictive analytics to optimize inventory management and minimize stockouts.
Deploy Kubernetes-powered edge computing in warehouses and distribution centers to automate order fulfillment.
Ensure consistent IT infrastructure across cloud, on-premises, and retail locations for real-time data flow.