SFRA for a faster, lower-risk path with SFCC-native teams; PWA Kit / composable when you want a decoupled front. We choose per your roadmap and team.

Yes — Einstein recommendations, predictive sort, and search, tuned on your data rather than left at defaults.

Can you run multi-site and multi-locale?

That is the core of an enterprise SFCC build — sites, locales, catalogs, and pricing structured to scale across markets.

How do you handle integrations?

ERP, OMS, and tax integrated around SFCC with monitoring and retries, tested against real volume before launch.

Salesforce Commerce Cloud · Fashion & Apparel

Fashion on Salesforce Commerce Cloud, enterprise-grade.

Global rollouts, complex merchandising, and the SFCC ecosystem — engineered, not just configured. We build Salesforce Commerce Cloud for enterprise fashion.

Book a call See case studies

The problem

Where fashion & apparel brands get stuck

The patterns recur. Salesforce Commerce Cloud solves some by default; the rest is engineering.

Challenge

Global complexity

Multi-site, multi-locale rollouts are where SFCC projects stall.

Challenge

Merchandising depth

Enterprise merchandising rules need real implementation, not just admin clicks.

Challenge

Integration surface

SFCC rarely stands alone; the integration layer is most of the work.

How it fits

The Salesforce Commerce Cloud stack, tuned for fashion & apparel

Commerce stack · cross-section

What we build

Salesforce Commerce Cloud for fashion & apparel, engineered to fit

Build

Multi-site architecture

Sites, locales, and catalogs structured for global fashion rollouts.

Build

Merchandising implementation

Einstein and rule-based merchandising wired to real catalogs and campaigns.

Build

Integration layer

ERP, OMS, and tax integrated around SFCC and tested at volume.

The AI layer

AI that moves the numbers for fashion & apparel

Not AI bolted on the side — agents and models wired into the fashion & apparel workflows that actually decide revenue, with human approval and an audit trail.

The AI layer

Einstein personalization

Einstein recommendations and 1:1 personalization tuned on your data to lift AOV and conversion.

Predictive sort

AI-ranked category and search results by likelihood to convert, per shopper.

Einstein search

Search relevance and dictionaries tuned for fashion language — fit, occasion, and style.

AI agents for retail ops See the AI search case study Get an AI-readiness audit

Where we built

Engagement record

Enterprise fashion on SFCC — multi-site, multi-locale, engineered to scale.

Multi-yearContinuous embedded partnership

Read the case study

Questions

Fashion & Apparel on Salesforce Commerce Cloud, answered

SFRA or PWA Kit?: SFRA for a faster, lower-risk path with SFCC-native teams; PWA Kit / composable when you want a decoupled front. We choose per your roadmap and team.
Do you use Einstein?: Yes — Einstein recommendations, predictive sort, and search, tuned on your data rather than left at defaults.
Can you run multi-site and multi-locale?: That is the core of an enterprise SFCC build — sites, locales, catalogs, and pricing structured to scale across markets.
How do you handle integrations?: ERP, OMS, and tax integrated around SFCC with monitoring and retries, tested against real volume before launch.

Salesforce Commerce CloudThe platform, in depth.Fashion & Apparel CommerceThe vertical, in depth.Commerce IntegrationsThe systems around SFCC.

How an engagement starts

Three steps to a partnership

Intake call

30 minutes. We listen, you talk. No deck.

Diagnostic

We audit the surface, name the bottleneck, propose a path.

Kickoff

Senior engineer in your standup by week two.