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
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11,172
Total Shown
76
Emerging Risk
1925
Critical
592
High
1524
Elevated
2264
Low
$16,649,572
Annual Loss

Full PnL Table — All Flagged Lockers

EMERGING RISK + CRITICAL + HIGH + ELEVATED + LOW + net-negative lockers. Use column toggles to control visible columns. Filters update KPIs above.

ℹ Tier & Metric Definitions

Tier Definitions:
EMERGING RISK (P0): Currently positive but 4+ months consecutive decline, detrended slope <-5, projected negative within 4 months. Preventive intervention window.
CRITICAL (P1): 95.6% precision. Two paths: (a) Slope: net<$5, slope<-10, detrended slope<-5, 12m slope<0, R²>0.3, seasonal projection negative. (b) Maintenance: net<$20, 5+ tickets in 6m, $500+ maintenance in 6m.
HIGH (P2): 93.8% precision. Two paths: (a) Slope: net<$15, slope<-5, 12m slope<0, R²>0.3. (b) Maintenance: net<$30, 3+ tickets, $250+ maint. (c) Run Ads: passed quality gate (DPMO<8K, tput>0.15, low maint, has ad rights).
ELEVATED (P3): 91.1% precision. net<$50, slope<-5, R²>0.2, projection<$20.
LOW (P4): 87.2% precision. net<$100, slope<0, throughput velocity<-0.005.
STABLE: Does not meet any deterioration criteria.

Metric Definitions:
Net$/mo: Monthly net PnL = transport_savings + ad_revenue - concessions - rent - ad_wrap - maintenance - depreciation - other
Transport: $1.15 × shipped_units/month
Ad Rev: Actual per-KID ad campaign revenue. $0 if no campaign running.
Ad Wrap: $209/mo charged ONLY when actual ad campaign is running (not when wrap is merely installed)
Maint: 3-month rolling avg of actual vendor invoice costs (B&H + Velociti). Falls back to flat rate if no invoices.
DPMO: Defects per million opportunities = (conceded/shipped) × 1,000,000. <8K good, >15K critical.
Tput: Daily throughput = packages/(active_days × slots). >0.15 good, <0.08 critical.
Tput Vel: 6-month throughput slope. Negative = declining volume.
Slope: 6-month OLS regression slope of net PnL. Negative = deteriorating.
R²: Coefficient of determination. Higher = more confident trend. >0.3 required for CRITICAL.
Dispatches: Count of months with vendor dispatches in last 6 months (from actual invoices). NOT same as tickets.
Est 2026: Actual YTD financials + projected remaining months at current rate.

TierCountAvg Net $/moAnnual Loss
EMERGING RISK76$78$71,369
CRITICAL1925$-183$4,237,018
HIGH592$-172$1,221,634
ELEVATED1524$-123$2,245,943
LOW2264$-70$1,896,734
Column Groups:
KIDNamePartnerTierPath Net$/moTransportAd RevLease RevConcessionRentAd WrapMaintDeprOther DPMOTputTput VelSlopeTix YTDTix 6mDispatchesAge CityStateBusinessNeighborhoodLoc TypeSub-TypeVerticalEst 2026 DriverActionGenerationTicket Reason

Partner Exposure — Top 15 by Negative Count

PartnerNegative LockersAvg Net $/moAnnual Loss
7-Eleven - Company993$-195$2,326,374
Amazon Locker Team - Inbo867$-119$1,237,063
Family Dollar509$-131$798,069
Staples497$-134$796,562
Ross494$-81$479,159
Dollar Tree467$-149$834,471
QuikTrip305$-135$495,690
Circle K - Company303$-142$516,460
Wawa288$-113$391,232
Burlington216$-100$258,858
OmniEngine193$-139$322,393
Five Below Inc113$-111$150,645
CROSSMARK106$-106$134,787
Chevron Marketer RORO96$-141$163,003
Chase91$-133$145,110