A mid-sized retailer specializing in imported consumer goods operates across 60 retail locations with 4 distribution centers in North America. The company manages over 15,000 SKUs and works with 35 suppliers worldwide. Its mission is to provide customers with high-quality products while keeping prices competitive.
The retailer faced difficulties forecasting inbound shipments and predicting delays from international suppliers. The previous approach relied on spreadsheets and static average lead times, which ignored supplier-specific risks, changing transportation conditions, and labor shortages. This often led to stockouts, higher logistics costs, and dissatisfied customers.
To solve these challenges, the company partnered with Cybernetis AI to deploy a real-time supply chain visibility and control platform. Cybernetis AI ingests live data from shipments, supplier performance records, and logistics updates, providing dynamic lead time predictions and real-time alerts.
With this visibility, the company improved inventory planning, reduced safety stock requirements, and optimized transportation capacity and labor allocation.
improvement in lead time accuracy at purchase order creation
improvement in in-transit lead time prediction
in estimated annual economic benefit from reduced logistics and labor costs
in stockouts and customer complaints
Strategic
Alignment Call
1 - 2 hours
Data
& Process Audit
2 - 4 days
cybernetis AI
Integration
Up to 12 Weeks
AI operating system
Activation
12–24 Weeks
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