Arvesta /
Component-Driven Corporate Marketing Platform
Headless Contentful Architecture With Design System Governance & Scalable Multi-Brand Content Model
Arvesta’s digital platform was modernized to support rapid corporate and marketing delivery while maintaining strong UI consistency across content-heavy pages. A modern Gatsby-based front-end was paired with Contentful as a headless CMS to enable scalable editorial operations and structured marketing campaigns.
A component-driven workflow was implemented using Storybook as the source of truth for UI variants and patterns. This approach improved alignment between teams, reduced inconsistencies in front-end delivery, and enabled faster execution of marketing requirements.
PathToProject acted as an additional front-end engineering team — accelerating delivery, implementing reusable components, and helping the in-house team maintain predictable release cadence. The platform was strengthened with dynamic ElasticSearch Cloud search, providing fast content discovery and filtering for corporate and campaign areas.
Technologies
Gatsby.js
Contentful (Headless CMS)
Netlify Hosting
ElasticSearch Cloud Search
Storybook Variants
UI Library (System UI Theme Specification)
Industry
Team Collaboration
- Additional Front-End Delivery Team
- In-House Engineering Team
- Marketing & Content Teams
Scope
- Component Variants & UI Library Contributions
- Contentful Content Strategy & Modeling Support
- Rapid Marketing Updates & Feature Delivery
- ElasticSearch Cloud Search Integration
Platform
[The Challenge]
Arvesta’s digital platform required continuous corporate and marketing updates while ensuring consistent UI behavior across pages and sections. The architecture included multiple repositories and teams, which introduced coordination and delivery complexity.
The key challenge was to support rapid marketing execution without compromising design consistency, structured content operations, and long-term scalability. The marketing platform also required fast content discovery and filtering for content-heavy areas.
An additional engineering team was needed to accelerate implementation work, reduce delivery pressure on the in-house development team, and ensure that new components and variants aligned with the existing design system strategy.
[The Solution]
Component-Driven Delivery With Storybook
A delivery workflow was implemented where Storybook variants acted as the single source of UI truth, improving consistency and speeding up front-end development.
Contentful Content Strategy Support
Scalable content models and editorial patterns were prepared to make content operations faster and more predictable for marketing teams.
Rapid Front-End Engineering Delivery
Front-end implementation support was provided to unblock delivery and reduce pressure on the in-house engineering team.
Dynamic Search With ElasticSearch Cloud
ElasticSearch Cloud integration was implemented to provide fast search and filtering for content-heavy areas while keeping the UX responsive.
[Core Features]
[Implementation]
Storybook Variants & Component Execution
Components and variants were implemented and aligned with existing design patterns to support fast delivery and reuse.
Contentful Content Modeling Support
Content models were refined to support marketing needs, scalability, and predictable editorial workflows.
ElasticSearch Cloud Integration
Dynamic search was implemented using ElasticSearch Cloud to enable fast discovery, scalable indexing, and reliable filtering behavior.
Rapid Delivery Support for Marketing Updates
Multiple feature and marketing changes were delivered quickly to reduce load on in-house development and maintain predictable releases.
[Business Outcomes]
Faster Marketing Updates
Marketing and corporate updates were delivered faster due to reusable UI patterns and accelerated engineering support.
Improved UI Consistency
Component reuse and Storybook-driven delivery improved design consistency and reduced UI drift.
Reduced Load on In-House Development
Delivery pressure was reduced by supporting front-end development execution across prioritized business requirements.
Improved Content Discoverability
ElasticSearch-powered search improved navigation across large content volumes and supported faster access to key corporate and marketing information.
More Predictable Editorial Operations
Structured Contentful content modeling enabled more reliable editorial workflows and scalable content operations.
Scalable Platform Foundation
The project strengthened the platform foundation for future growth by improving reusability, search capability, and content structure.
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