From supply-chain
Designs and compares supply chain network scenarios. Activate for: network design, supply chain network, warehouse location, distribution centre, DC placement, new DC, nearshoring, reshoring, offshoring, facility consolidation, network optimisation, make vs buy, sourcing location, scenario analysis, network scenario, scenario comparison, logistics network, node optimisation, where to warehouse, where to manufacture, cross-docking, open a new warehouse, open a new distribution centre. USE THIS when the task involves comparing network configurations, evaluating new facility locations, or running scenario comparisons. Respond directly with scenario analysis -- do not ask clarifying questions when sufficient context is provided. NOT for: carrier performance (use logistics-brief), vendor assessment (use vendor-assessment), spend category analysis (use spend-analysis).
npx claudepluginhub panaversity/agentfactory-business-plugins --plugin supply-chainThis skill uses the workspace's default tool permissions.
- ALWAYS include specific recommended actions with deadlines in every output --
Provides expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Use for product demand prediction, inventory segmentation, and retail stock management.
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).
Provides demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation for multi-location retailers managing 300-800 SKUs.
Share bugs, ideas, or general feedback.
TASK: [e.g. Network Design -- EMEA Distribution Review]
CONFIGURATION: [Loaded: supply-chain.local.md / Not configured]
DATA SOURCES: [ERP / TMS / Network optimisation MCP / Manual input]
TRIGGER EVENTS (any of these warrant a review):
Before running any optimisation, define clearly:
OBJECTIVE FUNCTION (rank order -- what are you optimising for?): Primary: [Cost / Service level / Carbon / Resilience -- choose one] Secondary: [Cost / Service level / Carbon / Resilience] Constraint: [Any hard constraints that cannot be traded off]
NETWORK PARAMETERS: Supply nodes: Manufacturing sites and key suppliers (with capacities) Demand nodes: Customer locations with demand volumes Intermediate: Existing and candidate warehouse/DC locations Time horizon: [1 year / 3 years / 5 years] Demand forecast: [Current + growth assumptions per region]
SCENARIO STRUCTURE: Scenario A: Status quo (baseline -- always include) Scenario B: [First alternative -- name the key change] Scenario C: [Second alternative] Scenario D: [Optional: stress test scenario -- e.g. loss of one node]
NETWORK DESIGN ANALYSIS: [Project Name]
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Objective: [Primary / Secondary optimisation goal]
Scenarios: [N] scenarios analysed
Horizon: [Time period]
SCENARIO COMPARISON:
[Scenario A] [Scenario B] [Scenario C]
Total cost: [X]/yr [X]/yr [X]/yr
Avg transit: [X] days [X] days [X] days
Service %: [X]% [X]% [X]%
Carbon: [X] tCO2e [X] tCO2e [X] tCO2e
Capex req: [X] [X] [X]
Payback: N/A [X] months [X] months
RECOMMENDATION: Scenario [X]
Rationale: [2-3 sentences: why this scenario best meets the
stated objectives and constraints]
KEY TRADE-OFFS:
[Trade-off 1]: [e.g. "Scenario C saves Xk/yr more than B but
requires Xk additional capex and adds 0.5 days
to average transit time"]
RISKS AND SENSITIVITIES:
[What assumptions, if wrong, would change the recommendation?]
[Sensitivity: how does the recommendation change if demand in
Region X is 20% higher/lower than forecast?]
NEXT STEPS:
1. [Specific: site survey / regulatory check / carrier RFQ]
2. [Specific: approval required from whom]
3. [Implementation timeline and key milestones]
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Network design is most valuable when decision-makers can challenge assumptions in real time. Support these question patterns:
"What if we increase [region] capacity by [X]%?" -> Re-run affected scenario with modified parameter; show delta vs. prior result
"What if fuel costs rise another 15%?" -> Re-run all scenarios with updated transport cost assumption; identify which scenario is most robust to this change
"What's the break-even volume for opening the [location] DC?" -> Calculate the demand volume at which the new DC scenario equals the cost of the status quo; present as break-even analysis
"What happens if the [country] supply route is disrupted for 3 months?" -> Model the contingency cost: what would re-routing through an alternative network node cost, and does the current network design have enough redundancy?
ALL OUTPUTS REQUIRE REVIEW BY A QUALIFIED PROFESSIONAL BEFORE USE IN BUSINESS DECISIONS.