Custom Backend Platform for a Luxury Retail Network

Challenge:
The client needed a reliable backend to support a global retail network with product data, pricing, stock information, technical documents, and lifestyle media. Retail partners depended on this information being accurate and easy to access, but the platform also had to handle heavy tasks such as video processing, spreadsheet imports, and document generation without slowing down daily operations.

Solution:
MDSolutions maintained and extended a custom backend platform that centralised product information and exposed it through structured API endpoints. The system handled watch catalog data, regional pricing, stock updates, filters, product sheets, store locator data, and media content for retailer-facing applications.

To keep the platform responsive, long-running jobs such as video conversion, media updates, spreadsheet imports, and content processing were moved into background workers. Redis caching was added to speed up frequently requested API data, while targeted cache invalidation helped keep product updates fresh without clearing the whole system.

The backend also included media workflows for adaptive video streaming, document generation for technical sheets, automated import tools, and integrations for currency exchange data and AI-assisted content generation.

Outcome:
The client gained a stronger retail backend that made product data, pricing, stock, and media easier to manage and distribute. Retail partners could access cleaner, faster, and more consistent information, while internal teams spent less time on manual updates and heavy processing tasks.

The result was a practical, maintainable backend platform built around the real needs of luxury retail operations.

Client: Franck Muller Genève.
Project: Retail backend and API platform.
Focus keywords: backend development, custom retail backend, API development, luxury retail software.