Client: Global Logistics & Distribution Provider

Challenge:

The client’s distributed logistics hubs faced latency issues in data synchronization, inefficiencies in resource allocation, and high costs due to over-provisioned cloud environments. Manual monitoring made it difficult to detect failures or optimize workloads in real time.

Solution:

Chrysalis implemented an AI-enabled cloud orchestration platform that optimized workload distribution and enhanced global synchronization.

Key features included:

• Predictive Workload Management – AI forecasted processing demand at each hub, auto-allocating cloud resources.
• Faster Data Synchronization – Real-time updates across warehouses, transport hubs, and partners.
• AI-Based Exception Monitoring – Automated anomaly detection for latency, throughput, and integration failures.
• Cost-Intelligent Resource Allocation – AI recommended the optimal mix of cloud resources across regions.

Results:

✔ 30% faster data synchronization across global hubs.

✔ 35% reduction in cloud spend via AI-driven provisioning.

✔ 20% improvement in supply chain responsiveness with real-time cloud insights.

✔ Greater reliability with predictive monitoring and automated remediation.