Freight Charge Evidence Packet

    by Mariusz Wrzeszczynski

    1

    Organize rate cards, shipments, weights, zones, fuel, accessorials, invoices, credits, and disputes into a traceable freight evidence packet.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    See it in action

    You say

    I have 200 carrier invoices (F1) and our manifest (F2). Invoices show €50k but manifest says €42k. There are 15 reweighs (F3) but only 5 have tickets. Build an evidence packet.

    Your agent does

    1. Packet decision

    Decision: PARTIAL FREIGHT-CHARGE EVIDENCE PACKET AVAILABLE

    2. Scope and boundary

    Covers F1-F3. €8k discrepancy. Neutral review only.

    3. Source register

    | ID | Source | Status | |---|---|---| | F1 | Invoices | Billed pop | | F2 | Manifest | Internal est | | F3 | Reweighs | Partial evidence |

    ... (additional sections)

    What you get

    Reconcile carrier invoices against internal manifest populationsIdentify unsupported reweigh and reclassification adjustmentsVerify fuel surcharge calculations against contractual indicesPrepare organized handoffs for authorized freight-claim decisions

    About this skill

    The problem

    Freight invoicing is notorious for discrepancies between manifested estimates and carrier bills. Logistics and finance teams struggle to reconcile scattered tariffs, reweigh adjustments, and disputed accessorial fees without a clear trail of evidence.

    What it does

    • Organizes carrier agreements, rate cards, and manifests into a traceable chronology.
    • Reconciles billed populations against shipper manifests to identify missing or duplicate shipments.
    • Classifies adjustments like reweighs, reclassifications, and detention fees based on supplied evidence.
    • Builds neutral arithmetic scenarios for base rates, fuel surcharges, and accessorials.
    • Surfaces gaps in documentation, such as missing scale tickets or unallocated credits.

    Why this beats prompting it yourself

    This skill enforces a strict neutral role, preventing the LLM from making unauthorized legal or financial decisions. It follows a structured 25-step workflow that ensures every identifier and charge category is preserved and categorized, rather than just netting totals.

    Use cases

    • Preparing a recovery packet for disputed parcel or LTL overcharges.
    • Auditing fuel surcharge applications against contractual index lags.
    • Reconciling multi-piece shipment identifiers to identify true duplicate billings.
    • Gathering evidence for internal procurement or accounts-payable reviews.

    Known limitations

    Does not access live carrier portals, TMS, or ERP systems. Cannot determine freight class, choose controlling legal interpretations, or submit actual claims to carriers.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    Mariusz Wrzeszczynski
    Mariusz Wrzeszczynski

    109 skills on Agensi

    Frequently Asked Questions

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