Develop a detailed Ideal Customer Profile (ICP) and lead-scoring model tailored to wholesale accounts in the transport, shipping & storage sector. Use [TargetRegion] and [ICP_Sectors] to define market scope, and align to modes [PrimaryModes] (e.g., road, ocean, rail). Incorporate operational signals such as [AvgShipmentVolume] per month and compliance needs (e.g., [ComplianceStandard] like AEO/CTPAT). Specify decision-maker roles [DecisionMakerTitles] and buying committee influencers.
Output requirements:
A concise ICP narrative (≤120 words).
A Markdown table “Lead Scoring Matrix” with columns: Criterion, Weight (0–10), Evidence/Data Source, Scoring Rule, Threshold.
A JSON block named "scoring_config" with fields: weights, positive_triggers, negative_triggers, mql_threshold, sql_threshold.
Three example scored leads (low/medium/high) using hypothetical values for [AvgShipmentVolume] and [AnnualLogisticsSpend].
Ensure the model is measurable, maps to [CRM_Name] fields, and distinguishes between brokers, 3PLs, and direct shippers. Calibrate for wholesale patterns such as seasonal peaks, pallet mix, and warehouse constraints.