What does Kadmoon do?

We are a US analytics firm focused entirely on foreign trade. We turn the data buried in your customs, logistics, and ERP systems into decisions: landed cost and margin, duty and tariff exposure, shipment visibility and OTIF, customs and compliance analytics, inventory, and an executive control tower. Everything is built on a governed model, delivered on the Microsoft stack, and lives in your own tenant.

Do we have to be a Microsoft shop?

No. Your data can live anywhere: SAP, Oracle, NetSuite, Microsoft Dynamics, broker and carrier systems, EDI and ACE, or spreadsheets. We read from the system of record wherever it runs. We deliver the analytics on the Microsoft stack, Fabric, Power BI, and Azure, because it is a strong, governed place to build, but the platform is the how, not the point.

Why only foreign trade?

Because trade analytics fails when it is built by people who do not know trade. Landed cost, duty, incoterms, bonded inventory, HTS classification, denied-party screening, and ACE are not edge cases to us, they are the metrics we model every day. That focus is why we arrive with the trade data model and KPIs ready instead of learning your business on your budget.

Where does the data come from?

From the systems you already run. We land raw data in your tenant, shape it into a governed semantic model, and feed the dashboards from there. Carrier EDI and customs messages are parsed into structured events, so milestones, exceptions, and filings become data you can measure instead of documents you have to read. The data integration doc goes into detail.

How does a project start?

Usually with a trade data assessment: a short, fixed-scope engagement that maps your decisions and data and delivers first dashboards in about two weeks. It de-risks the larger build and produces a scope and a quote grounded in your real data. You leave with working analytics, not a slide deck.

Do you build software too?

Yes, and it grows out of the analytics. Living in a client’s trade data is where our software starts: once we understand the operation, we build the systems that run it, customs filing, trade ERP, inventory, and security vision. Analytics is what we lead with and deliver today; the software is what we build as the relationship deepens.

Do we own the analytics and the data?

Yes. Everything we build is yours: the semantic model, the reports, and the data, all inside your own tenant, with documentation and a full handover. Access is provisioned per engagement against your identity provider and policies. We support and evolve it on a defined agreement after launch, but you are never locked in or dependent on us to keep operating.

Which regions and company sizes do you serve?

We are a US firm serving American importers, exporters, brokers, forwarders, 3PLs, ports, and the manufacturers and distributors that trade across borders. We work with growing operations and established enterprises alike; the common thread is that moving goods across borders is central to the business and the numbers have to be right.

KPI library | Docs

These are the metrics that come up most often in trade analytics. Each is modeled with a single definition so it reads the same in every report. The list is a starting point, not a limit.

Cost and margin

Landed cost: unit cost with freight, duty, insurance, and brokerage allocated to it.
Duty exposure: duty owed by HTS code, country of origin, and product line.
Realized margin: margin after every deduction, from list price to the bottom line.
Freight cost per lane: normalized freight spend by lane, mode, and accessorial.
Effective duty rate: total duties and fees over total entered value, the blended rate you actually pay.
Duty as % of value: duty over customs value, a measure of exposure intensity.
Tariff stack contribution: duty split by regime (base, Section 301, Section 232, AD/CVD) to show what drives it.
MPF efficiency: merchandise processing fee per unit against the fee cap, a consolidation signal.
Deposited vs liquidated duty variance: open duty exposure until an entry is finalized.

Service and logistics

OTIF: on-time in-full delivery against the customer requirement, with miss cause attributed.
Transit time and variance: planned versus actual transit by lane and carrier.
Demurrage and detention: charges tied to container events and the free-time clock.
Dwell time: how long containers sit at a terminal, by type and area.
Entry throughput: entries or lines processed per period, a workload and capacity measure.

Compliance and customs

Clearance time: time from entry to release, by port, client, and filer.
Screening coverage: the share of parties screened against watchlists, with an audit trail.
Classification consistency: how consistently similar goods carry the same HTS code.
Drawback recovery: refundable duty on exported goods matched back to imports.
FTA qualification rate: the share of eligible value actually claimed under a trade agreement.
ISF and EEI timeliness: on-time filing rate for import security and export filings, a penalty exposure.
Exam and hold rate: the share of entries examined or held, by agency, origin, and HTS.

Inventory and planning

Days on hand: inventory cover by SKU and site, including bonded and FTZ stock.
Forecast accuracy: forecast versus actual by product family and horizon.
Fill rate: order lines shipped complete, by client and zone.
Dead stock: inventory with no movement over a defined window and its carrying cost.
In-transit inventory value: capital tied up in goods still moving through the pipeline.
Inventory turns: cost of goods sold over average inventory, how fast stock cycles.