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

Proximity & Cannibalization Analysis

Identifies locker pairs that are geographically close (potential cannibalization). When two lockers within 500m are both net-negative, one may be stealing volume from the other without generating incremental benefit.

ℹ Definitions

Haversine Distance: Straight-line distance between two points on Earth's surface (in meters).
Cannibalization: Two nearby lockers splitting demand that one could serve alone. Net effect: both underperform.
Both Negative: Both lockers in a pair are net-negative monthly. Strongest signal for potential removal of one.
Recommendation: Pairs where both are negative and within 500m are candidates for consolidation (remove the worse-performing one).

907
Total Pairs
Closest neighbor per locker
247
Within 500m
High proximity risk
111
Within 200m
Very high overlap
366
Both Negative
Consolidation candidates
101
Both Neg & <500m
Highest priority
1,905m
Avg Distance
Network-wide average

Locker Pair Table

Sorted by distance (closest first). Filter to "Both Negative" + distance ≤500m for highest-priority consolidation candidates.

KID AName AKID BName BDistance (m) Net$/mo ANet$/mo BPartner APartner B Tier ATier BBoth Neg