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Rebuilt a legacy eCommerce platform into a scalable, AI-personalized omnichannel experience ahead of peak shopping season.
+5x
Peak Traffic Handled
+22%
Cart Conversion
55%
Page Load Time Reduction
“We went into our biggest sale of the year with total confidence in our platform for the first time in years.”
VP of eCommerce
National Retail Organization
Business and technical constraints that blocked outcomes.
Problem framed
Architecture, delivery model, and governance applied to the engagement.
Method selected
Wave-based execution with checkpoints for security, quality, and stakeholders.
Program executed
Measured outcomes ready for procurement and executive review.
Value proven
Executive Summary
Rebuilt a legacy eCommerce platform into a scalable, AI-personalized omnichannel experience ahead of peak shopping season.
+5x
Peak Traffic Handled
+22%
Cart Conversion
55%
Page Load Time Reduction
A national retail chain's legacy eCommerce platform couldn't scale during peak sales periods and lacked personalization, leading to lost revenue and cart abandonment.
We re-platformed the storefront onto a cloud-native, microservices architecture and layered in an AI-driven recommendation engine and real-time inventory sync across channels.
“We went into our biggest sale of the year with total confidence in our platform for the first time in years.”
VP of eCommerce
National Retail Organization
+5x
Peak Traffic Handled
+22%
Cart Conversion
55%
Page Load Time Reduction
4
Channels Unified
Next steps
Plan a similar enterprise program with clear governance, security, and delivery milestones.
