Luxury fashion house Dior is transforming how it handles logistics by bringing artificial intelligence and smart data capture into its warehouse operations. The goal is to make processes faster, more accurate, and better connected from the warehouse to the customer.

Dior has partnered with technology firms Scandit and Hardis Supply Chain to upgrade its supply chain systems. Scandit specialises in intelligent data capture solutions, while Hardis provides a cloud-based warehouse management system (WMS) that links functions across the supply chain.

At the core of this initiative is Scandit’s MatrixScan Count technology, which is now integrated into Hardis’s WMS. This allows warehouse teams to scan multiple barcodes at once using Dior’s order preparation app, cutting down manual scanning effort and reducing mistakes.

According to Dior and its partners, this integration has already delivered significant gains. The time spent on checking shipments has been reduced by around 85 percent, speeding up fulfilment and helping orders reach customers faster.

Another important feature is real-time feedback and augmented reality (AR). When workers scan items, the system instantly verifies the data in the WMS and displays guidance on their devices, which can improve accuracy and reduce training time. This AR support also helps quickly locate products and verify details during order preparation.

The solution runs on handheld computers already used in the warehouse, so there is no need for additional hardware. The AI-powered barcode scanning can read even damaged, poorly printed, or partially visible codes, boosting productivity and streamlining daily tasks.

Executives from Scandit and Hardis say the collaboration shows how combining AI, smart data capture, and advanced warehouse management software can help global brands deliver both operational efficiency and a high-quality customer experience—without expensive infrastructure upgrades.

Dior plans to expand this technology across all its distribution centres that use Hardis WMS and to further improve onboarding for seasonal and temporary staff.