By name: logistics-brief description: > Activate for: logistics, carrier, freight, shipping, route, delivery, on-time delivery, OTD carrier, logistics performance, carrier review, freight cost, cost per kg, lane analysis, route optimisation, logistics brief, carrier scorecard, logistics KPI, shipping performance, freight audit, expedited freight, premium freight, mode of transport, logistics network, carbon emissions, Scope 3 logistics. NOT for: supply network facility placement (use network-design), vendor assessment (use vendor-assessment), spend category analysis (use spend-analysis). license: Apache-2.0 metadata: author: Panaversity version: "1.0" plugin-commands: "/logistics-brief" mcp-integrations: "TMS, ERP, carrier APIs, freight rate databases"
UNIVERSAL RULES (apply to every logistics task)
- ALWAYS include specific recommended actions with deadlines in every output -- observations without actions are not acceptable
MANDATORY OUTPUT HEADER
TASK: [e.g. Carrier Performance Review -- Q1 2024]
CONFIGURATION: [Loaded: supply-chain.local.md / Not configured]
DATA SOURCES: [TMS / ERP / Carrier APIs / Manual input]
LOGISTICS BRIEF TYPES
Type 1: Carrier Performance Review
Use for: periodic carrier performance assessment, contract negotiation prep, carrier selection, carrier exit decision.
DATA REQUIRED (from TMS or ERP, for defined period):
- Shipment volume by carrier (number of shipments + weight/units shipped)
- On-time delivery rate by carrier (shipments delivered on or before promised date)
- Damage rate and claim value by carrier
- Cost per kg (or per shipment) by carrier
- Track-and-trace reliability (% shipments with real-time tracking events)
- Carrier compliance: invoicing accuracy vs. contracted rates
CARRIER SCORECARD FORMAT:
CARRIER PERFORMANCE SCORECARD -- [Period]
================================================================
Shipments OTD% Damage% Cost/kg Track% Score
[Carrier A] [N] [X]% [X]% [X] [X]% [X]/5
[Carrier B] [N] [X]% [X]% [X] [X]% [X]/5
SCORING KEY:
OTD >= 95%: 5/5 | 93-95%: 4/5 | 90-93%: 3/5 | <90%: FLAG
Damage < 0.2%: 5/5 | 0.2-0.5%: 3/5 | >0.5%: FLAG
Cost: benchmark against market rate (see local config)
Track >= 98%: 5/5 | 95-98%: 3/5 | <95%: FLAG
FINDINGS:
RED [Carrier underperforming]: [specific metric] -- recommended action
AMBER [Carrier at risk]: [trend concern] -- monitor; review at [date]
PASS [Carrier outperforming]: [strength] -- protect relationship
LANE ROUTING RECOMMENDATIONS:
[Lane]: current routing -> optimal routing | saving: [X]/month
================================================================
Type 2: Lane Optimisation Analysis
Use for: specific origin-destination analysis; carrier selection for a new lane; mode of transport optimisation.
INPUT REQUIRED:
- Origin and destination (city/postcode/country)
- Shipment profile: volume (units/kg), frequency, typical parcel dimensions
- Service requirement: transit time; temperature controlled; track-and-trace
- Current arrangement: carrier, mode, cost, SLA
- Available alternatives (if known -- agent will also identify via MCP)
ANALYSIS OUTPUT:
LANE ANALYSIS: [Origin] -> [Destination]
---------------------------------------------------------
Shipment profile: [Volume, frequency, specification]
Service req: [Transit time; special requirements]
OPTION COMPARISON:
Mode Transit Cost/kg OTD% Carbon Score
Current: [Mode] [X days] [X] [X]% [X]g [X]/5
Option A: [Mode] [X days] [X] [X]% [X]g [X]/5
Option B: [Mode] [X days] [X] [X]% [X]g [X]/5
RECOMMENDATION: [Option] because [specific rationale]
Annual saving vs. current: [X]
Service trade-off: [Any service level change]
Carbon trade-off: [Any carbon change]
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Type 3: Expedited Freight Analysis
Use for: investigating high premium freight spend; root cause analysis; upstream problem identification.
OUTPUT:
- Total expedited spend (% of total freight budget)
- Expedited volume by business unit / site / category
- Root cause classification: a) Late supplier delivery (procurement/vendor issue) b) Demand forecast error (planning issue) c) Inventory positioning error (supply chain design issue) d) Customer emergency (valid commercial reason) e) Production planning error (internal operations)
- Recommended intervention by root cause category
- Quantified saving if root cause is addressed
RULE: Expedited freight > 10% of total freight spend indicates an upstream supply chain design or process problem, not a logistics problem. Solving it at the logistics level (buying more premium capacity) masks and perpetuates the underlying issue.
Type 4: Carbon Assessment
Use for: Scope 3 emissions reporting; sustainability target setting; mode-shift analysis; decarbonisation planning.
OUTPUT:
- Total logistics Scope 3 emissions (tCO2e) by carrier and lane
- Emissions intensity (gCO2e per km-tonne shipped)
- Breakdown by transport mode
- Highest-emission routes
- Mode-shift options with cost and service trade-offs
- Estimated reduction from implementing each option
EMISSIONS REFERENCE (approximate; verify with actual carrier data): Air freight: 500-600 gCO2e per tonne-km Road (HGV): 60-80 gCO2e per tonne-km Rail (electric): 20-30 gCO2e per tonne-km Sea (container): 10-15 gCO2e per tonne-km
NEVER DO THESE
- NEVER recommend exiting an underperforming carrier without confirming alternative capacity is available for the affected lanes
- NEVER use cost per shipment as the sole metric -- cost per kg normalises for shipment size differences
- NEVER accept carrier invoice rate creep without audit: compare actual invoiced rate to contracted rate line by line
- NEVER diagnose an expedited freight problem as a logistics problem without first checking whether the root cause is upstream
- NEVER report carbon figures without the source and methodology -- Scope 3 emissions data quality varies significantly by carrier
ALL OUTPUTS REQUIRE REVIEW BY A QUALIFIED PROFESSIONAL BEFORE USE IN BUSINESS DECISIONS.