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Home > Projects > Buff

Adobe Commerce Optimization for Global Ecommerce: Performance, PIM Integration & Multi-Market Scalability for BUFF®

Adobe Commerce Cloud optimization, Akeneo PIM integration & frontend modernization for a global brand

Buff Cover with logo

Project Summary

Elogic partnered with BUFF®, a global brand operating in more than 70 countries, to optimize and scale its Adobe Commerce Cloud platform.
The engagement focused on improving platform performance, stabilizing product data flows across global markets, reducing operational overhead, and preparing the storefront for frontend modernization

Key Outcomes

35–45%

reduction in catalog page load time

+12–18%

increase in organic traffic

99.98%

platform uptime stability

Client

BUFF®

Industry

Apparel & Outdoor Accessories

Region

Spain, Global (70+ countries)

Platform

Adobe Commerce Cloud

Project type

Performance optimization, frontend modernization + Embedded engineering team

Integrations

Akeneo PIM, Oracle ERP systems, GA4, New Relic

Timeframe

2024 – ongoing

About BUFF®

BUFF® is a globally recognized brand specializing in multifunctional performance apparel and outdoor accessories.

The company operates a highly complex ecommerce ecosystem:

  • 20,000+ SKUs across 70+ locales and multiple currencies
  • multi-country storefronts with localized content
  • global distribution and marketplace expansion

Maintaining high performance, accurate product data, and operational efficiency at this scale requires continuous engineering and optimization.
By acting as an embedded engineering team, Elogic helped BUFF® build a high-performance, reliable ecommerce foundation capable of supporting international growth and continuous optimization.

Project Complexity

This project required solving multiple enterprise-level challenges simultaneously:

managing large-scale product catalogs across global markets
maintaining consistent product data between Akeneo PIM and ecommerce
optimizing performance under global traffic loads
modernizing frontend architecture without disrupting live operations
supporting continuous SEO and CRO improvements

These challenges required deep expertise in Adobe Commerce performance engineering and global ecommerce architecture.

Business Challenge

As BUFF® expanded internationally, several issues began limiting platform performance and operational efficiency.

01

Platform performance bottlenecks

Heavy catalog pages and frontend inefficiencies negatively impacted Core Web Vitals and SEO visibility.

02

Product data inconsistencies

Unreliable synchronization between Akeneo PIM and Adobe Commerce caused errors across product listings.

03

High operational overhead

Manual validation processes required spreadsheet-based workflows, consuming significant team capacity.

04

Frontend scalability limitations

The existing ScandiPWA architecture limited performance improvements and slowed down experimentation.

Solution

Platform Stabilization & Technical Audit

Elogic conducted a comprehensive audit of Adobe Commerce Cloud and implemented:

  • platform upgrades and module patching
  • codebase optimization
  • stabilization of critical components

This created a reliable foundation for further improvements.

Akeneo PIM Optimization

Elogic redesigned the data synchronization architecture between Akeneo and Adobe Commerce:

  • automated product data validation
  • improved synchronization workflows
  • elimination of manual spreadsheet processes
  • consistent attribute mapping across markets

Result: product data accuracy improved from ~90% to over 99%.

Full-Stack Performance Engineering

Performance improvements were implemented across all layers:

Frontend optimization

  • improved rendering pipeline
  • lazy loading and asset optimization
  • reduced render-blocking resources

Backend optimization

  • improved query efficiency
  • optimized catalog processing

Core Web Vitals improvements

  • improved LCP, CLS, and FID
  • increased search visibility and organic traffic

Frontend Modernization (Hyvä)

Elogic prepared the platform for migration from ScandiPWA to Hyvä:

  • architecture assessment and planning
  • component mapping and prioritization
  • staging environment setup

This enables faster performance and easier future optimization.

Continuous Development & Optimization

Elogic operates as an extension of BUFF®’s engineering team:

  • ongoing performance improvements
  • feature development
  • integration support
  • proactive monitoring with New Relic

Results & Business Impact

Performance transformation

+25–30%

faster page rendering

−35–45%

aster catalog page load times

SEO and organic growth

+12–18%

increase in organic traffic

+

improved Core Web Vitals and search rankings

Data accuracy and reliability

>99%

product data accuracy improved

+

consistent product information across all markets

Platform stability

99.98%

uptime across global operations

Capabilities Demonstrated

Adobe Commerce Cloud performance optimization
Magento performance engineering at scale
Akeneo PIM integration and data architecture
Global multi-market ecommerce development
Frontend modernization (Hyvä)
Enterprise ecommerce platform stabilization

Best Fit For

This solution is particularly relevant for:

global ecommerce brands

fashion and apparel retailers

businesses managing large product catalogs (10,000+ SKUs)

companies operating multi-country ecommerce platforms

organizations requiring PIM-integrated ecommerce

This approach is ideal for companies that:

  • operate multi-market ecommerce platforms
  • struggle with product data consistency across systems
  • need high-performance storefronts for SEO and CRO
  • rely on manual catalog operations that should be automated
  • plan frontend modernization (Hyvä or headless)

Planning a Similar Ecommerce Transformation?

If your business operates a global ecommerce platform and needs a partner experienced in Adobe Commerce optimization, PIM integration, and performance engineering, this project demonstrates how Elogic helps brands scale digital commerce infrastructure.

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