Client: Global Retail & E-commerce Chain

Challenge:

The retailer faced unpredictable demand surges (holiday sales, promotions), frequent downtime during peak traffic, and spiraling cloud costs due to inefficient provisioning. Customer dissatisfaction and cart abandonment rose during high-load periods.

Solution:

Chrysalis introduced an AI-optimized retail cloud solution to enhance scalability, resilience, and personalized shopping experiences.

Key features included:

• AI-Powered Demand Forecasting – Predicted sales surges and adjusted infrastructure in advance.
• Elastic Cloud Scaling – AI auto-scaled servers during flash sales to prevent downtime.
• Real-Time Personalization – AI-driven recommendation engines improved customer engagement.
• Cloud Cost Optimization – ML models suggested workload shifts (reserved vs. spot instances) to reduce spend.

Results:

✔ 25% increase in sales conversion during peak events due to zero downtime.

✔ 40% reduction in cloud infrastructure costs via predictive optimization.

✔ Higher customer retention with AI-driven personalization.

✔ Improved agility to launch new campaigns with minimal IT overhead.