NERVE — Network Earnings & Risk Visibility Engine

Project NERVE v14-AI | Model v13 + AI Analytics | n=26,167 | CRITICAL 95.6% precision | HIGH 93.8% | Combined 92.8% (3mo grace) | June 2026

Dive Deep by Reason

Root cause analysis across 11 categories. Click each for the full KID-level drill-down with click-to-expand breakdowns.

ℹ Definitions

Maintenance Spike: 3+ vendor dispatches in 6 months OR monthly maintenance cost >$50. Signals hardware degradation.
DPMO Spiral: DPMO exceeds 15,000 (15 conceded per 1,000 shipped). Quality critically impaired.
Volume Drop: Throughput declining (velocity <-0.01) AND already below 0.15. Demand eroding.
High Tickets: 5+ service tickets YTD (high risk). Correlates with hardware failures and partner dissatisfaction.
Currently Offline: Locker offline on the most recent data date. Broken down by root cause (power, network, hardware, etc.).
Delivery Failures (DFR): Failed delivery attempts BEFORE package enters locker. Carrier-side and hardware-side failures.
Dispatches vs Tickets: Dispatches = technician physically sent (costs $150-500). Tickets = complaints filed. Not every ticket leads to a dispatch.

6,248
Maintenance Spikes
3+ dispatches or >$50/mo
4,986
DPMO >15K
Quality impaired
5,396
Volume Dropping
Declining + below threshold
341
High Tickets
5+ tickets YTD
135
Currently Offline
As of 2026-06-10

Maintenance Spike (6,248 lockers)

Avg cost: $131/mo | Avg dispatches: 1.5

Top: 7-Eleven - Company, Amazon Locker Team - Inbound Lead, Circle K - Company

DPMO Spiral (4,986 lockers)

Avg DPMO: 62,336 | 70% negative

Top: Convenience Store / Corner Shop / Newsstands, Residential, General Retail

Volume Drop (5,396 lockers)

Avg throughput: 0.092 | Avg net: $51/mo

High Tickets (341 lockers)

Avg tickets YTD: 9 | Avg DPMO: 37,874

Top: 7-Eleven - Company, Circle K - Company, Albertsons/Safeway

Currently Offline (135 lockers)

Offline on 2026-06-10 | Top reason: Lost Network Connection (51)

Breakdown by root cause: power, network, hardware, etc.

Delivery Failures (DFR)

Carrier-side & hardware failures preventing delivery attempts. Top: No Free Locker, Package Too Big.

Different from DPMO (post-delivery concessions). Shows pre-delivery failures.

Cannibalization & Clusters

Lockers too close together, splitting demand. Both negative + within 1km = consolidation candidate.

198 bad clusters + proximity pairs. Over-saturation root cause.

Proximity Analysis

Identify nearby locker pairs. Both-negative pairs within 500m = consolidation candidates.

Evaluating removal decisions — "are we cannibalizing ourselves?"

Partner Health

Aggregate view by partner. Portfolio size, % negative, annual loss, CRITICAL/HIGH counts.

"Which partners have the most troubled lockers?" Partnership decisions.

Renewals

Residential lease management. Churn scoring, KEEP/RENEW/FIX/EXIT decisions.

Proactive renewal outreach or expired lease portfolio analysis.

Ad Opportunity

Section A: Has ad rights, no campaign running. Section B: High-perf lockers without ad rights.

Revenue activation opportunities — lowest-hanging fruit.

Alert Overlap Analysis

Many lockers trigger multiple alert categories simultaneously, indicating compound problems:

Category CombinationCountAvg Net $/mo
Maintenance + DPMO1,492$-130
Maintenance + High Tickets333$443
DPMO + High Tickets109$-240
All three108$-239