logistics

LOGISTICS — Logistics & 3PL

Capability overview

Code: LOGISTICS Full name: Logistics & 3PL Description: Logistics & 3PL — fleet, warehousing, last-mile, freight, port operations.

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Skills index

#	Skill	Command	Purpose
1	Fleet Optimization	/cps-logistics:fleet-opt	Optimize fleet size, mix, and routing for cost and service.
2	Warehouse Design	/cps-logistics:warehouse-design	Design warehouse layout, slotting, automation level.
3	Last-Mile Strategy	/cps-logistics:last-mile	Design last-mile delivery network (own / 3PL / hybrid / dark store).
4	Freight Mode Mix	/cps-logistics:freight-mode	Optimize freight mode mix (road / rail / sea / air) for cost-service trade-off.
5	Port Operations Review	/cps-logistics:port-ops	Review port/terminal operations for throughput, dwell time, asset utilization.

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Skill 1: Fleet Optimization

Command: /cps-logistics:fleet-opt

Purpose

Optimize fleet size, mix, and routing for cost and service.

Inputs required

client:
  name: "Client Name"
  industry: "Industry"
context:
  scope: "in-scope description"
  constraints: ["constraint 1", "constraint 2"]
references:
  - "Prior deliverable / document name"
  - "External benchmark / source"

Methodology

1. Frame. Translate client request into a structured problem statement and hypotheses.
2. Gather. Pull data from engagement brain, client documents, and external sources.
3. Analyze. Apply the Fleet Optimization method using domain frameworks (see Frameworks section of the agent).
4. Synthesize. Produce primary deliverable with recommendations, evidence, and risks.
5. Validate. Run /cps:verify-quality and pass through Fleet recommendations consider TCO (acquisition, fuel, maintenance, driver, insurance).

Output shape

A CPS-branded Fleet Optimization deliverable in 05_Deliverables_Final/. Pyramid-Principle structured, sourced, and reviewed.

Quality checklist

• Fleet recommendations consider TCO (acquisition, fuel, maintenance, driver, insurance)
• Warehouse designs include slotting strategy and labor model
• Last-mile strategy quantifies cost per delivery by network choice

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Skill 2: Warehouse Design

Command: /cps-logistics:warehouse-design

Purpose

Design warehouse layout, slotting, automation level.

Inputs required

client:
  name: "Client Name"
  industry: "Industry"
context:
  scope: "in-scope description"
  constraints: ["constraint 1", "constraint 2"]
references:
  - "Prior deliverable / document name"
  - "External benchmark / source"

Methodology

1. Frame. Translate client request into a structured problem statement and hypotheses.
2. Gather. Pull data from engagement brain, client documents, and external sources.
3. Analyze. Apply the Warehouse Design method using domain frameworks (see Frameworks section of the agent).
4. Synthesize. Produce primary deliverable with recommendations, evidence, and risks.
5. Validate. Run /cps:verify-quality and pass through Fleet recommendations consider TCO (acquisition, fuel, maintenance, driver, insurance).

Output shape

A CPS-branded Warehouse Design deliverable in 05_Deliverables_Final/. Pyramid-Principle structured, sourced, and reviewed.

Quality checklist

• Fleet recommendations consider TCO (acquisition, fuel, maintenance, driver, insurance)
• Warehouse designs include slotting strategy and labor model
• Last-mile strategy quantifies cost per delivery by network choice

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Skill 3: Last-Mile Strategy

Command: /cps-logistics:last-mile

Purpose

Design last-mile delivery network (own / 3PL / hybrid / dark store).

Inputs required

client:
  name: "Client Name"
  industry: "Industry"
context:
  scope: "in-scope description"
  constraints: ["constraint 1", "constraint 2"]
references:
  - "Prior deliverable / document name"
  - "External benchmark / source"

Methodology

1. Frame. Translate client request into a structured problem statement and hypotheses.
2. Gather. Pull data from engagement brain, client documents, and external sources.
3. Analyze. Apply the Last-Mile Strategy method using domain frameworks (see Frameworks section of the agent).
4. Synthesize. Produce primary deliverable with recommendations, evidence, and risks.
5. Validate. Run /cps:verify-quality and pass through Fleet recommendations consider TCO (acquisition, fuel, maintenance, driver, insurance).

Output shape

A CPS-branded Last-Mile Strategy deliverable in 05_Deliverables_Final/. Pyramid-Principle structured, sourced, and reviewed.

Quality checklist

• Fleet recommendations consider TCO (acquisition, fuel, maintenance, driver, insurance)
• Warehouse designs include slotting strategy and labor model
• Last-mile strategy quantifies cost per delivery by network choice

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Skill 4: Freight Mode Mix

Command: /cps-logistics:freight-mode

Purpose

Optimize freight mode mix (road / rail / sea / air) for cost-service trade-off.

Inputs required

client:
  name: "Client Name"
  industry: "Industry"
context:
  scope: "in-scope description"
  constraints: ["constraint 1", "constraint 2"]
references:
  - "Prior deliverable / document name"
  - "External benchmark / source"

Methodology

1. Frame. Translate client request into a structured problem statement and hypotheses.
2. Gather. Pull data from engagement brain, client documents, and external sources.
3. Analyze. Apply the Freight Mode Mix method using domain frameworks (see Frameworks section of the agent).
4. Synthesize. Produce primary deliverable with recommendations, evidence, and risks.
5. Validate. Run /cps:verify-quality and pass through Fleet recommendations consider TCO (acquisition, fuel, maintenance, driver, insurance).

Output shape

A CPS-branded Freight Mode Mix deliverable in 05_Deliverables_Final/. Pyramid-Principle structured, sourced, and reviewed.

Quality checklist

• Fleet recommendations consider TCO (acquisition, fuel, maintenance, driver, insurance)
• Warehouse designs include slotting strategy and labor model
• Last-mile strategy quantifies cost per delivery by network choice

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Skill 5: Port Operations Review

Command: /cps-logistics:port-ops

Purpose

Review port/terminal operations for throughput, dwell time, asset utilization.

Inputs required

client:
  name: "Client Name"
  industry: "Industry"
context:
  scope: "in-scope description"
  constraints: ["constraint 1", "constraint 2"]
references:
  - "Prior deliverable / document name"
  - "External benchmark / source"

Methodology

1. Frame. Translate client request into a structured problem statement and hypotheses.
2. Gather. Pull data from engagement brain, client documents, and external sources.
3. Analyze. Apply the Port Operations Review method using domain frameworks (see Frameworks section of the agent).
4. Synthesize. Produce primary deliverable with recommendations, evidence, and risks.
5. Validate. Run /cps:verify-quality and pass through Fleet recommendations consider TCO (acquisition, fuel, maintenance, driver, insurance).

Output shape

A CPS-branded Port Operations Review deliverable in 05_Deliverables_Final/. Pyramid-Principle structured, sourced, and reviewed.

Quality checklist

• Fleet recommendations consider TCO (acquisition, fuel, maintenance, driver, insurance)
• Warehouse designs include slotting strategy and labor model
• Last-mile strategy quantifies cost per delivery by network choice

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Cross-skill workflows

Discovery → /cps-logistics:fleet-opt → /cps-logistics:warehouse-design → Recommendations

Integration with other CPS plugins

Plugin	Integration point
cps-supply	End-to-end supply chain context
cps-ind-maritime	Port and terminal logistics
cps-coe	Logistics KPI dashboards

Templates & artifacts

All deliverables use standard CPS branding via:

• /doc-gen for document generation
• assets/cps-branding.json for styling
• scripts/cps-document-generator.js for automation

Skill	Primary artifact	Format
/cps-logistics:fleet-opt	Fleet Optimization Report	DOCX/PDF
/cps-logistics:warehouse-design	Warehouse Design Report	DOCX/PDF
/cps-logistics:last-mile	Last-Mile Strategy Report	DOCX/PDF
/cps-logistics:freight-mode	Freight Mode Mix Report	DOCX/PDF
/cps-logistics:port-ops	Port Operations Review Report	DOCX/PDF