Background Pattern
✦ Case Studies ✦

Solving Complex Commerce Challenges with Scalable Engineering.

Real-World Problems. Practical Solutions. Measurable Impact. Here are some of the engineering challenges I've solved in the Adobe Commerce ecosystem over the past 5+ years.

10+Years Exp.
50+Projects
100%Performance
Engineering Dashboard

FEATURED CASE STUDY

Checkout Performance Optimization

Adobe Commerce ( Enterprise )

A large Enterprise Store was Experiencing Slow Checkout Performance, Cart delays, and High Drop-Off Rates, Especially on Mobile Devices.

View Details

Problem

  • Slow Rendering on Checkout Steps
  • High JavaScript Execution Time
  • Multiple API calls on each Step
  • Poor Mobile Experience

Solution

  • Optimized KnockoutJS Components
  • Reduced API calls & Payload
  • Improved Caching Strategy
  • Deferred non-Critical Scripts
  • Optimized Payment Method Loading

Outcome

  • 35% Faster Checkout Flow
  • 20% Improvement in CVR
  • Significant Drop in Cart Abandonment
  • Better Lighthouse Scores

Architecture Overview

User
PWA(Frontend)
GraphQLGateway
Adobe Commerce(Backend)
Redis(Cache)

Technologies Used

Adobe CommercePWA StudioGraphQLRedisVarnishJavaScriptKnockoutJS

MORE CHALLENGES

More Engineering Challenges

GraphQL Performance

HEADLESS COMMERCE

GraphQL Performance Improvements

Headless Storefront was Facing Slow Category page Loads and Increased Respond Times due to Complex GraphQL Queries and Inefficient Resolvers.

  • Optimized GraphQL Queries & Resolvers
  • Implemented Query Batching
  • Improved Cashing & Reduced Payload
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AEM Integration

AEM INTEGRATION

AEM+ Commerce Integration Enhancement

Content and Commerce Experiences Were not in Sync Across Multiple Touchpoints, Impacting Authoring Workflow and Content Consistency.

  • Improved CIF Component Rendering
  • Optimized Content Synchronization
  • Streamlined Authoring & Preview Experience
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Production Stability

PRODUCTION STABILITY

Stability During High Traffic Events

Traffic Spikes During Campaigns Were Causing System Slowdowns, Queue delays, and Intermittent Outages.

  • Systematic Performance Bottleneck Analysis
  • Queue Optimization & Resource Tuning
  • Improved Monitoring & Alerting
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OUR IMPACT

Impact Across Projects

Performance First

Consistently Improved Storefront Performance and Core Web Vitals.

Scalable Solutions

Built Scalable Architectures to Handle High Traffic and Growth.

System Stability

Reduced Downtime and Improved System Reliability.

Better Developer Experience

Clean Code, Documentation, and Maintainable Solutions.

1. Understand

Deep Dive into the Problem Business Goals, and Technical Constraints.

2. Analyze

Identify Bottlenecks. Evaluate System, and Define the Right Solution Strategy.

3. Implement

Engineering Scalable, Performant, and Maintainable Solutions.

4. Optimize & Scale

Continuously Improve Performance, Stability, and System Scalability.

Have a Challenging Problem to Solve?

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