FedEx audit profile, Vortex IQ

What the Vortex IQ FedEx health audit checks: FedEx: Priority Overnight SLA, International Customs Lanes & Cross-Platform Leak

Nerve Centre KPIs · Audit Profile · Sentiment Settings

FedEx is a global B2B + B2C carrier - small footprint in the CloudHub corpus (2 active merchants on FedExAccount) but the merchants who use FedEx are export-heavy, high-value, time-sensitive. Findings either cost a customer (Priority Overnight slot miss, international customs hold) or compound legally (hazmat compliance miss). Cross-references commerce siblings via order_ref; ShipBob via fulfillment_id; Jira via claim_id.

What this audit checks

Authentication & access

• OAuth2 client_id + client_secret still issue access_tokens (no 401)
• Account number maps to active rate-card (no ‘unknown account’)
• Token cache hit-rate > 95%
• Legacy SOAP credentials (UserCredentialKey/Pw + ParentCredentialKey/Pw) still work for migration cases

Priority service-day promises

• Priority Overnight OTD < 99% rolling 30D (flagship SLA)
• First Overnight OTD < 99% (premium, by-10am)
• FedEx 2-Day OTD < 96%
• FedEx Ground OTD < 92%
• First-attempt delivery rate < 88%

International customs & cross-border lanes

• International Priority customs-hold rate > 1%
• Specific origin->destination lane customs-hold > 5%
• Cross-border transit time > 7 days (lane-stretch signal)
• Customs-value declaration mismatch > 1% (HS code / value gaps)

Exceptions, claims & failed pickups

• Exception rate > 3% rolling 30D
• Open claims unresolved > 30 days (FedEx claim cycle)
• Failed pickup rate > 3%
• Damaged-parcel claim rate > 0.5%

Hazmat / dangerous-goods compliance

• Hazmat shipment acceptance rate < 98% (documentation gaps signal)
• Hazmat shipments without proper class declaration > 0.1%
• Lithium-battery surcharge / declaration miss

Cost & service-mix economics

• Avg cost / shipment up >10% vs prior period
• Priority Overnight uplift > 50% over 2-Day
• Fuel surcharge as % of base cost > 25% (rising-fuel signal)
• Claim value as % of FedEx revenue > 1% rolling 90D

Cross-platform: revenue at risk (the kill-shot area)

• Cross-platform: late shipments joined to commerce_sibling orders -> revenue at risk per channel
• Cross-platform: 3PL-vs-carrier delay attribution
• Cross-platform: open claims with no Jira tracker_item -> CS coverage gap
• Cross-platform: customs-held international shipments -> proactive merchant-IOSS / commercial-invoice fix candidates
• Cross-platform: late-delivery refund-propensity * sibling.order.total

Severity thresholds

Signal	Warn	Critical
on_time_delivery_rate	96	95
priority_overnight_sla_pct	99	98
first_overnight_sla_pct	99	98
fedex_2day_sla_pct	96	94
fedex_ground_sla_pct	92	90
customs_hold_pct	0.5	1
customs_value_mismatch_pct	0.5	1
exception_rate	2	3
open_claims_age_days	14	30
failed_pickup_rate_pct	2	3
hazmat_acceptance_pct	99	98
shipping_cost_per_order_change_pct	5	10
fuel_surcharge_pct	20	25
claim_value_pct_of_revenue	0.5	1
auth_token_failures_24h	1	5

Data sources

• POST https://apis.fedex.com/oauth/token - OAuth2 client-credentials token issuance
• POST https://apis.fedex.com/track/v1/trackingnumbers - Tracking events (batch)
• POST https://apis.fedex.com/ship/v1/shipments - Label generation (write-side)
• POST https://apis.fedex.com/rate/v1/rates/quotes - Rate quote (cost analysis)