AI Command Center
Ray-Ban Corp · Enterprise Plan · 12 active deployments
Total Revenue Lift
$4.82M
Attributed to AI models this period
vs. last 30 days
Avg. Model Accuracy
94.7%
Across 12 deployments
vs. baseline
Active Deployments
12
2 pending review
Chat Resolution Rate
87.3%
Resolved without escalation
↑ 3.1% this week
API P99 Latency
284ms
SLA threshold: 300ms
⚠ Near SLA limit
Inference Calls (30d)
18.4M
+2.1M vs prior period
vs. last month
Demand Forecast Accuracy
91.2%
IKEA, Fossil, Clarks models
Slight dip — investigating
Inference Volume
Daily API calls across all deployed models · Last 30 days
Revenue Lift by Model
$ attributed per AI category
Model Scores
Accuracy per type
Deployment Status
All active AI model deployments
| Model | Type | Client | Status | Accuracy | Latency | 24h Calls | Uptime | Updated | |
|---|---|---|---|---|---|---|---|---|---|
RecEngine v3.2 | Predictive | Ray-Ban | Active | 96.4% | 142ms | 2.4M | 99.98% | 2m ago | |
ChatSupport NLP | NLP | IKEA | Active | 94.1% | 198ms | 1.8M | 99.91% | 5m ago | |
VisionSearch v2 | Vision | Oakley | Degraded | 81.2% | 412ms | 340K | 97.4% | 12m ago | |
DemandCast Pro | Forecasting | Fossil | Active | 91.8% | 88ms | 620K | 99.99% | 1m ago | |
PricingOptimizer | Predictive | Rolex | Deploying | — | — | — | — | 34m ago | |
MarketingAI v1.4 | NLP | Daniel Wellington | Active | 88.9% | 224ms | 890K | 99.87% | 3m ago | |
InventoryAI | Forecasting | Clarks | Active | 93.2% | 102ms | 410K | 99.95% | 7m ago | |
SentimentLens | NLP | Van Heusen | Paused | 90.1% | 178ms | — | 99.6% | 2h ago |
Alerts
5Accuracy drop detected
criticalVisionSearch v2 accuracy fell to 81.2% — 9.8% below threshold
P99 latency approaching SLA
warningAPI P99 latency at 284ms — SLA limit is 300ms
Forecast drift detected
warningDemandCast accuracy dipped 0.8% — review input data pipeline
PricingOptimizer deployment
infoRolex PricingOptimizer model is 68% through deployment
Monthly usage milestone
infoRecEngine v3.2 crossed 2M inference calls this month
Client Brand Performance
Revenue lift and model health across all active clients
R Ray-Ban | Eyewear | Enterprise | 4 | $1.24M | 96.4% | 4.2M | 94/100 | Healthy | |
I IKEA | Retail / Home | Enterprise | 3 | $980K | 93.8% | 3.1M | 91/100 | Healthy | |
O Oakley | Eyewear | Growth | 2 | $420K | 81.2% | 890K | 76/100 | At Risk | |
F Fossil | Watches / Accessories | Growth | 2 | $540K | 92.1% | 1.4M | 88/100 | Healthy | |
R Rolex | Luxury Watches | Enterprise | 1 | — | — | — | — | Onboarding | |
D Daniel Wellington | Watches | Starter | 1 | $210K | 88.9% | 620K | 82/100 | Healthy | |
C Clarks | Footwear | Growth | 2 | $380K | 93.2% | 980K | 89/100 | Healthy | |
V Van Heusen | Apparel | Starter | 1 | — | 90.1% | 310K | 85/100 | Healthy |