Global filters

Scenario Lab

Adjust operational policy levers and see modelled impact on inventory accuracy, availability, working capital and approval workload before committing to a change.

Priority briefing

Needs approval

Model preferred lever set, then save for comparison and hand to the Global Inventory Director for sign-off.

Current scenario projects 96.2% accuracy vs. 96.2% baseline.

Owned by Global Inventory Director

Modelled accuracy

96.2%

0%vs. baseline

On-shelf availability

93.3%

0%vs. baseline

Working capital

$31.1M

Freed / tied up

ROI horizon

13 mo

0%vs. baseline

Policy levers

Drag to model a scenario; presets apply a governed change bundle

RFID reader coverage86%
Cycle count frequency7 days
Accuracy target96%
Auto-adjust tolerance5 units
Event-processing latency12 min
Adjustment approval threshold500 USD

Presets

Modelled outcomes vs. baseline

Recomputed live from current lever positions

Phantom rate

1.87%

Labor hrs / week

534

Approval volume / mo

1700

Shrink explained

77.8%

Save this scenario

Name and store for side-by-side comparison

Saved scenarios capture the current lever positions and modelled outcomes for later comparison or export.

Saved scenarios

0 saved

No scenarios saved yet — adjust levers and click Save.

Related governed change bundles

Dependencies and confidence for each preset

PresetAssumptionsConfidenceCostLocationsDependencies

Improve reader coverage

Add fixed portals to remaining pilot stores to raise coverage to 96%.

Portal install cost amortised over 24 months; No change to staffing model82%$1.2M61Store facilities scheduling; Reader firmware v3.4 rollout

Increase count frequency

Move from 14-day to 3-day cycle counts in top-100 volume stores.

Existing handheld fleet reused; No overtime required74%$640K100Store associate task capacity

Reduce event-processing latency

Move zone resolution to streaming pipeline, cutting latency from 45min to 8min.

Databricks streaming job SLA met; No downstream schema changes88%$380K412Event Hub throughput upgrade; Data engineering sprint

Change adjustment-approval threshold

Raise auto-approval ceiling from $250 to $750 for high-confidence adjustments.

Confidence-weighted policy unchanged; LP monitoring continues on flagged SKUs79%$0412Policy sign-off from Global Inventory Director

Change safety-stock policy

Reduce buffer stock in high-accuracy RFID nodes by 15%.

Applies only to nodes above 96% trailing accuracy; Reviewed quarterly71%$90K148Demand-planning system update