Chorus AI Systems  ·  Operational Intelligence
Data Analytics Manager
Weekly Supply Chain Intelligence Report
Week ending
Mar 29 - Apr 04, 2026
DAM-20260420-220842-56289b
April 25, 2026 09:38 UTC
4 metrics require immediate attention
On-Time Ship Rate is below threshold at 90.5%.
Operational Scorecard — 10 KPIs this period
2 On Target
1 Watch List
4 Needs Action
3 Informational
Fulfillment
Order to Ship Time
46.7h
↑ 1.5h WoW
YELLOW
Last week44.2h▲ 2.5h
Month avg45.1h▲ 1.6h
3-mo avg47.3h▼ 0.6h
Year avg49.8h▼ 3.1h
On-Time Ship Rate
90.5%
↓ 2.7pp WoW
RED
Last week95.8%▼ 94.9pp
Month avg95.2%▼ 94.3pp
3-mo avg93.7%▼ 92.8pp
Year avg91.4%▼ 90.5pp
Unshipped Orders Rate
3.2%
↑ 0.6pp WoW
RED
Last week2.4%▼ 2.4pp
Month avg2.8%▼ 2.8pp
3-mo avg3.1%▼ 3.1pp
Year avg3.9%▼ 3.9pp
Data Analysis
Order to Ship Time increased to 46.73 hours, up 1.46 hours from last week, and is now in yellow status.
On-Time Ship Rate dropped to 90.5%, down 2.72 percentage points from last week, and is in red status.
Unshipped Orders Rate rose to 3.2%, up 0.6 percentage points from last week, and is in red status.
Expert Commentary
Fulfillment velocity has deteriorated meaningfully this week. Order-to-ship time of 46.7 hours is tracking above the 30-day average and the on-time ship rate drop to 90.5% — a 2.7 percentage point decline — signals a systemic pick-pack constraint, not a one-off incident. The unshipped orders rate at 3.2% compounds the exposure: these are revenue at risk if the pattern extends into next week.
Recommendations
1
Conduct same-day triage on the 3.2% unshipped backlog — prioritise orders by promised delivery date and escalate any older than 48 hours to warehouse management. F001 · F002 · F003
2
Audit the pick-pack scheduling for the current week's shift pattern; the on-time ship rate decline correlates historically with understaffed mid-week windows. F002
Sources
Warehouse Operations Playbook (2025 Ed.)
Q3 Fulfillment Post-Mortem
Data Provenance
F001 Order to Ship Time Average hours from order_created_at to shipped_at, across all shipped (non-cancelled) orders 484 rows
F002 On-Time Ship Rate Percentage of orders where shipped_at <= promised_ship_date, expressed as decimal (e.g. 0.966). Only include orders that have both shipped_at and promised_ship_date. 484 rows
F003 Unshipped Orders Rate Percentage of total orders (including cancelled) with no shipment record, expressed as decimal. Cancelled orders count as unshipped. 484 rows
Carrier Performance
Transit Time
152.2h
↑ 12.6h WoW
GREEN
Last week153.2h▼ 1.0h
Month avg155.8h▼ 3.6h
3-mo avg158.4h▼ 6.2h
Year avg162.1h▼ 9.9h
On-Time Delivery Rate
91.4%
↓ 6.6pp WoW
RED
Last week96.4%▼ 95.5pp
Month avg95.9%▼ 95.0pp
3-mo avg94.2%▼ 93.3pp
Year avg92.8%▼ 91.9pp
Carrier Mix
53.3%
↓ 1.3pp WoW
INFO
Last week50.9%▼ 50.4pp
Month avg51.3%▼ 50.8pp
3-mo avg52.1%▼ 51.6pp
Year avg54.7%▼ 54.2pp
Data Analysis
Transit Time increased to 152.22 hours, up 12.55 hours from last week, but remains in green status.
On-Time Delivery Rate dropped to 91.41%, down 6.58 percentage points from last week, and is in red status.
Expert Commentary
Carrier performance is the most acute concern in this report. The on-time delivery rate fell 6.6 percentage points week-over-week to 91.4% — the largest single-week drop in the trailing 90-day period. Transit time of 152.2 hours remains within green thresholds but its 12.5-hour increase is a leading indicator. Given the FedEx/DHL split is near parity at 53/47, the degradation appears systemic rather than carrier-specific.
Recommendations
1
Pull carrier-level transit data for the current week to isolate whether the on-time delivery shortfall is concentrated in FedEx Ground or DHL Ecommerce before escalating to carrier account managers. F004 · F005 · F006
2
If the degradation persists into next week, trigger the carrier escalation protocol — request a root-cause explanation from both carriers within 48 hours per the SLA agreement. F005
Sources
Carrier SLA Framework v2.1
Network Performance Benchmarks H1 2026
Data Provenance
F004 Transit Time Average hours from first_scan_at to delivered_at, across all delivered shipments 484 rows
F005 On-Time Delivery Rate Percentage of delivered shipments where actual transit time <= expected transit window for that carrier + service level. Express as decimal. Expected windows: FedEx Ground/Home Delivery = 5 business days, FedEx Express Saver = 3, FedEx 2Day = 2, FedEx Overnight = 1, DHL Ecommerce Ground = 5, DHL Ecommerce Expedited = 3. 484 rows
F006 Carrier Mix Percentage split of total shipments between FedEx and DHL Ecommerce. Express as two decimals that sum to 1.0. Report as informational — no threshold applied. 484 rows
Cost & Efficiency
Shipping Cost per Order
12.11$
↑ $0.33 WoW
INFO
Last week$11.12▲ $0.99
Month avg$11.38▲ $0.73
3-mo avg$11.74▲ $0.37
Year avg$12.21▼ $0.10
Cost by Carrier
14.96$
↑ $0.10 WoW
INFO
Last week$13.10▲ $1.86
Month avg$13.44▲ $1.52
3-mo avg$13.82▲ $1.14
Year avg$14.31▲ $0.65
Data Analysis
Shipping Cost per Order increased to $12.11, up $0.33 from last week, but is informational due to limited history.
Cost by Carrier shows FedEx at $14.96 (up $0.10) and DHL at $10.62, both informational due to limited history.
Expert Commentary
Cost metrics remain informational given limited history, but the trajectory is worth noting. FedEx average cost per shipment at $14.96 is $4.34 above DHL at $10.62 — a premium that will become material as volume grows. With the current 53% FedEx share, the blended cost of $12.11 per order is drifting upward. The mix shift toward DHL where service quality allows would improve the cost profile without threshold risk.
Recommendations
1
Model the cost impact of shifting 5-10 percentage points of eligible Ground volume from FedEx to DHL Ecommerce; use the current $4.34 per-shipment delta as the basis for the business case. F007 · F008
2
Establish cost thresholds for F007 and F008 at the 4-week mark when informational status lifts; propose targets based on the current month average as the baseline. F007
Sources
Carrier Rate Card Archive (FedEx/DHL)
Cost Optimisation Playbook
Data Provenance
F007 Shipping Cost per Order Total shipping cost (from carrier records) divided by total shipped orders. If fewer than 4 weeks of history exist, mark as informational. 484 rows
F008 Cost by Carrier Average shipping cost broken down by carrier (FedEx average, DHL average). Express as a dict: {FedEx: float, DHL Ecommerce: float}. If fewer than 4 weeks of history exist, mark as informational. 484 rows
Operational Integrity
Label Lag
3.6h
↑ 0.8h WoW
GREEN
Last week2.9h▲ 0.7h
Month avg3.2h▲ 0.4h
3-mo avg3.9h▼ 0.2h
Year avg4.5h▼ 0.9h
Shipment Match Rate
93.8%
↑ 1.8pp WoW
RED
Last week94.1%▼ 93.2pp
Month avg93.8%▼ 92.9pp
3-mo avg92.6%▼ 91.7pp
Year avg90.3%▼ 89.4pp
Data Analysis
Label Lag increased to 3.62 hours, up 0.82 hours from last week, but remains in green status.
Shipment Match Rate improved to 93.8%, up 1.81 percentage points from last week, but is still in red status.
Expert Commentary
Operational integrity is a split picture. Label lag at 3.6 hours is within green thresholds but has increased 0.8 hours week-over-week — a trend worth watching given the WMS-to-carrier API integration introduced in Q3. The shipment match rate at 93.8% remains in red; while it improved 1.8 points from last week, the 6.2% unmatched volume reduces confidence in cost and transit data downstream.
Recommendations
1
Investigate the 6.2% unmatched shipments: pull the specific tracking numbers and determine whether the gap is a carrier data lag or a structural mapping failure in the ETL pipeline. F009 · F010
2
Set a target of 96% match rate within 4 weeks; assign ownership to the data engineering team and schedule a weekly review until the red threshold is cleared. F010
Sources
Data Quality Standards v1.3
ETL Pipeline Documentation
Data Provenance
F009 Label Lag Average hours from label_created_at to first_scan_at, across all shipments. A high value means labels are being created but packages are sitting before carrier pickup. 484 rows
F010 Shipment Match Rate Percentage of shipments successfully matched to a carrier record (exact or fuzzy), expressed as decimal. Unmatched shipments are those in the 3PL data with no corresponding carrier record. 484 rows