Intralogistics Optimization Starter Kit

Data-driven digital twin for smarter intralogistics operations

Rising e-commerce volumes and fast-shipping demands make warehouse efficiency more critical than ever. The Intralogistics Optimization Starter Kit reduces travel time, labor costs, and wasted effort by leveraging a data-driven digital twin. NVIDIA Omniverse Isaac Sim creates a comprehensive virtual replica of your warehouse environment, allowing for:

Analysis of current operational flow patterns
Identification of bottlenecks that impede productivity
Testing of new layout configurations without disrupting operations
Validation of changes before physical implementation
Continuous improvements in order picking, inventory arrangement, and overall operational flow

Use cases

MATERIAL FLOW OPTIMIZATION

Enhance efficiency with smart slotting and layout strategies

Facilities with suboptimal product placement face excessive walking distances and frequent congestion. The digital twin analyzes your order and inventory data to propose slotting strategies that group co-purchased or high-demand items together, ensuring pickers, automated guided vehicles, or conveyer systems travel shorter paths. When seasonal changes or promotions alter demand patterns, the model quickly identifies new placements that maintain fulfillment efficiency and optimize internal material flow throughout your warehouse.

INVENTORY MANAGEMENT

Reduce labor costs and overtime

Traditional picking methods often require multiple passes through long aisles, increasing labor costs. By optimizing product locations and leveraging advanced path-planning algorithms, your warehouse operators complete tasks faster, cutting down on overtime expenses. Automated re-slotting routines let you respond to shifting SKUs with minimal manual intervention, further reducing operational costs.

ORDER FULFILLMENT

Accelerate order fulfillment

In modern distribution centers, extra minutes spent on order picking can lead to missed shipping deadlines and decreased customer satisfaction. Through real-time simulations, you can experiment with different picking sequences—batch, zone, or wave—and choose what best accelerates fulfillment for your specific operation. The digital twin highlights potential choke points in material flow, allowing you to rearrange aisles, create additional packing stations, or introduce autonomous vehicles precisely where they will have the greatest impact on throughput.

WAREHOUSE AUTOMATION

Promote continuous improvement and safety

Static warehouse layouts quickly become outdated when demand shifts. Intralogistics optimization promotes ongoing improvement through repeat simulations and advanced analytics. You can test new pick strategies, equipment upgrades, or safety initiatives in the digital warehouse first to assess their impact. Key metrics tracking—like time per pick, route overlap, or ergonomic reach—allows you to confidently implement changes that boost workplace safety, reduce lifting hazards, and maintain high throughput.

SUPPLY CHAIN RESILIENCE

Adapt quickly to demand fluctuations

Peak seasons and sudden promotional spikes can overwhelm a poorly arranged warehouse. Rather than guessing where to relocate items, let the virtual model predict optimal shelf placements and picking routes for these short-term surges. This agility in layout adaptation means you’re always prepared for business swings without disruptive and time-consuming trial-and-error in the real facility.

How does Intralogistics Optimization work?

The reference solution integrates your warehouse layout data, order history, and inventory details into a high-fidelity model built in NVIDIA Omniverse Isaac Sim. The AI-driven optimization engine:

Analyzes demand patterns, product co-occurrences, and travel paths
Proposes more efficient slotting and route plans
Simulates changes in a virtual environment
Measures impact on key metrics (picking time, throughput, congestion areas)

Multiple simulation scenarios test different configurations, providing real-time visibility into how changes would affect your warehouse management. Only validated improvements are recommended for implementation in your physical warehouse. This closed-loop approach reduces risk, accelerates ROI, and supports continuous refinement of your intralogistics systems and warehouse operations.