Vendor & Supplier Management: Dior Uses AI and Data Capture to Transform Warehouse Logistics
Dior is partnering with Scandit and Hardis Supply Chain to digitize warehouse operations across its network. The goal is simple: shorten processing times, raise pick-and-ship accuracy, and move product to customers faster - without adding heavy hardware.
The approach pairs Scandit's smart data capture with Hardis's warehouse management system (WMS), giving teams real-time visibility and guidance on the floor. For operations leaders, this is a clear model of how AI and automation can remove friction from daily execution.
AI and Smart Data Capture, Embedded in the WMS
Scandit's MatrixScan Count is integrated directly into the Hardis WMS, creating a single, connected channel for warehouse-to-store data. That reduces manual entry, limits mismatch errors, and speeds up verification at each step.
Leaders at Scandit point to the impact of giving frontline workers instant insights and AR guidance on the devices they already use. The result: faster decisions and fewer process bottlenecks across inbound, picking, packing, and shipping.
Results That Matter on the Floor
Dior reports an 85% reduction in shipping control time. That time goes straight back into throughput and service levels. Shorter checks also reduce the window for errors during fulfilment.
Warehouse teams can capture multiple barcodes at once via Dior's Order Preparation app, trimming repetitive scanning and lowering manual effort per task. Orders move faster, and customers wait less.
How It Works in Practice
- Multi-barcode scanning: Count multiple items in one pass to speed order prep and verification.
- AR feedback: Data captured by MatrixScan Count is verified inside the Hardis WMS, then confirmed on-screen with clear visual cues.
- Guided finding: MatrixScan Find supports item location and in-store price updates with an AR overlay to point workers to the right SKU quickly.
- Mobility: Deployed on handhelds, so operators scan on the move rather than returning to fixed stations.
- Resilient reads: AI-powered scanning handles damaged, poorly printed, or partially visible barcodes to keep work flowing.
- Faster onboarding: A simplified UI and guided flows help new and temporary staff reach productivity sooner.
What Operations Leaders Should Plan For
- Integration map: Confirm WMS interfaces, device management, and data sync with upstream OMS/ERP and downstream store systems.
- Pilot with hard KPIs: Track shipping control time, pick accuracy, units per hour, touches per order, and error rate.
- Exception paths: Define rules for unreadable labels, substitutions, over/under counts, and partial picks.
- Change management: Short, task-based training and clear SOPs. Make AR prompts match your floor language and process names.
- Data hygiene: Standardize barcode formats and SKU governance to avoid edge-case failures.
- Device strategy: Decide BYOD vs. rugged handhelds, plus charging, cases, and spares for peak periods.
- Rollout plan: Start with one DC, gather metrics, refine workflows, then scale to additional sites.
Vendor Perspectives
"At Hardis, we integrate innovative technologies like Scandit's to enhance both performance and user experience," says Florent Boizard, General Manager of Hardis Supply Chain. "The project with Dior is a perfect example of this approach: a technology partnership serving the operational excellence of a prestigious client."
Why It Matters Beyond Luxury
High service expectations and complex assortments put pressure on picking accuracy and cycle times. Real-time capture and AR-guided flows take waste out of core tasks and reduce rework. Dior and its partners plan to roll this capability across distribution centers using the Hardis WMS.
If you're evaluating similar moves, review solutions that combine mobile scanning, AR guidance, and tight WMS integration. For reference, see Scandit's smart data capture platform here and Hardis Supply Chain's WMS capabilities here.
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