Space & Slotting Intelligence
Real-time analytics and AI-driven recommendations for capacity utilization, pick-path efficiency, and labor optimization.
Select a zone
Hover or click a zone block to see capacity and utilization details.
| Zone | Capacity (ft³) | Current Used | Optimized Used | Current Util % | Optimized Util % | Travel Index | Labor Hrs/Day |
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| SKU | Name | Category | Velocity | Current Zone | Recommended Zone | Daily Lines | Current Dist. | Optimized Dist. | Savings |
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Scenario 1 — Current Baseline
Scenario 2 — Peak Volume
Scenario 3 — Off-Peak
Bin Utilization & Replenishment
Drill down from zones to individual bins. Visualize fill levels, track replenishment needs, and optimize bin assignments.
Hover over a bin to see details
| Bin ID | Zone | Aisle | Rack | Level | SKU | Current Qty | Min Qty | Max Qty | Fill % | Action |
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| Bin ID | Zone | Aisle | Rack | Level | SKU | Qty | Fill % | Weight | Status |
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These panels call live FastAPI endpoints with real algorithms. Start the backend: python -m uvicorn server:app --reload
Algorithm: Pareto analysis (ABC) + Coefficient of Variation (XYZ) → 9-cell priority matrix for slotting decisions.
Click "Run Algorithm" to execute ABC-XYZ segmentation
Algorithm: Greedy assignment with travel-frequency cost minimization + zone capacity constraints.
Click "Optimize" to run slotting optimization
Algorithm: Holt's double exponential smoothing (level + trend) per SKU.
Click "Forecast" to generate demand predictions
Engine: Data-driven rule engine analyzing zone capacity, velocity mismatches, re-slot opportunities, and financial impact.
Click "Generate" to get AI recommendations