Analytics we build for cross-border trade.
Kadmoon does analytics for one thing: foreign trade. The scenarios below are illustrative of the analysis we build, not based on specific clients; the structure is what ships.
Data comes from wherever your operation already runs: SAP, Microsoft, Oracle, NetSuite, broker and carrier systems, EDI and ACE, or spreadsheets. Analytics is delivered in your own tenant.
Landed cost analytics by SKU and supplier
An importer moved landed cost off a monthly spreadsheet into a model that allocates freight, duty, and fees to every unit as goods arrive.
- Landed cost accuracy
- 98%
- Close time
- 3 days
Tariff and duty exposure modeling
With tariffs shifting, an importer needed to see duty exposure by product and country and model the cost of a rate change before it landed.
- Exposure updated
- Same day
- HTS codes modeled
- 2,400+
Supplier performance and lead-time analytics
An importer consolidated supplier data to see lead-time reliability, defect rates, and total cost by vendor in one place.
- Suppliers scored
- 340
- Lead-time variance
- Tracked
Import margin erosion analysis
An importer traced where margin leaked between quoted cost and the money that actually reached the bottom line.
- Margin bridge
- End to end
- Leak identified
- 3.8 pts
Purchase order to receipt cycle analytics
An importer measured where time was lost between placing an order and having goods on the shelf, stage by stage.
- Cycle measured
- Per stage
- Cycle time
- -9 days
Currency impact on import cost
An importer buying in several currencies made the effect of exchange rate moves on landed cost and margin visible.
- Currencies modeled
- 7
- FX component
- Isolated
Import demand and reorder analytics
An importer with long lead times built a forecast that accounts for transit and customs so reorders happen before stock runs out.
- Stockouts
- -31%
- Excess stock
- -18%
Entry throughput and clearance-time analytics
A customs broker measured entry volume, clearance time, and exceptions across the team to find where entries stalled.
- Clearance time
- -22%
- Entries tracked
- All
HTS classification accuracy analytics
A broker surfaced classification patterns and exceptions to reduce reclassifications and the penalties that follow them.
- Reclassifications
- -27%
- Entries analyzed
- 180k
Denied-party screening audit analytics
A broker made its screening coverage provable, with an auditable record that every party on every entry was checked.
- Coverage
- 100%
- Audit answer
- Minutes
Broker productivity and client SLA dashboard
A broker measured productivity per filer and SLA attainment per client to protect service as volume grew.
- SLA attainment
- +11 pts
- Breach risk
- Flagged
Duty drawback opportunity analytics
A broker identified exported goods eligible for duty drawback that were going unclaimed across its client base.
- Refund identified
- $1.4M
- Eligible entries
- Matched
ACE filing error and rejection analytics
A broker analyzed ACE rejections to find the recurring causes and cut the rework that slowed clearance.
- Rejections
- -34%
- Causes
- Categorized
Shipment visibility and milestone analytics
A forwarder unified milestone data from carriers and portals so status, delays, and exceptions sat in one place.
- Visibility
- End to end
- Exceptions
- Early
On-time in-full performance analytics
A 3PL measured OTIF by lane, carrier, and customer to see where service was failing and why.
- OTIF
- +9 pts
- Definition
- Single
Freight spend and cost-per-lane analytics
A shipper brought freight spend from several carriers and invoices into one model to see true cost by lane and mode.
- Spend unified
- All carriers
- Cost per lane
- Comparable
Demurrage and detention cost analytics
An importer and its forwarder found where demurrage and detention charges came from and cut the avoidable ones.
- D&D charges
- -29%
- Free time
- Tracked
Container utilization and consolidation analytics
A forwarder analyzed container fill and consolidation opportunities to move the same goods in fewer boxes.
- Fill rate
- +12 pts
- Consolidation
- Identified
Carrier scorecard and rate benchmarking
A shipper ranked carriers on reliability, cost, and transit so allocation went to the carriers that earned it.
- Carriers scored
- All
- On-time
- +8 pts
Multi-warehouse and bonded inventory analytics
A 3PL unified inventory across warehouses, including bonded and FTZ stock, into one accurate, real-time view.
- Sites unified
- All
- Accuracy
- Real time
Receiving and putaway throughput analytics
A warehouse measured dock-to-stock time to find where inbound goods waited before they were available to pick.
- Dock-to-stock
- -26%
- Queue time
- Measured
Order fulfillment and pick accuracy analytics
A 3PL tracked fulfillment accuracy and cycle time by client to hold service levels as order volume rose.
- Pick accuracy
- 99.4%
- Error source
- Located
Inventory aging and dead-stock analytics
A distributor surfaced slow and dead stock across sites to free the cash and space it was consuming.
- Dead stock
- -21%
- Carrying cost
- Quantified
S&OP and demand planning analytics
A manufacturer that imports components built an S&OP view tying demand, supply, and import lead times into one plan.
- Forecast accuracy
- +13 pts
- Planning view
- Single
Product P&L with landed cost in COGS
A distributor built a product-level P&L that put true landed cost into COGS so margin by product was real.
- COGS
- Landed
- Margin
- Per product
Export order and compliance analytics
An exporter made license usage, screening, and documentation status visible across export orders in one view.
- Compliance gaps
- Pre-ship
- License usage
- Tracked
Cross-border inventory positioning analytics
A distributor with stock on both sides of the border analyzed where to hold inventory to balance duty, freight, and service.
- Positioning
- Optimized
- Freight and duty
- Lower
Terminal throughput and dwell-time analytics
A terminal operator measured container dwell and gate throughput to ease congestion and move boxes faster.
- Dwell time
- -17%
- Throughput
- Per shift
Freight invoice audit and recovery analytics
A shipper audited freight invoices against contracted rates at scale to catch overcharges before they were paid.
- Overcharges caught
- Pre-payment
- Invoices audited
- 100%
Executive trade control tower
A trading group pulled cost, risk, service, and compliance into one executive view across the whole trade operation.
- Executive view
- Single
- Drill-down
- To source
Illustrative scenarios · example figures
Software we build
When analytics turns into a system to run on.
Living in a client’s trade data is where our software starts. These are builds that grew out of that work, and the direction we keep extending.
Customs filing and compliance platform
A customs broker moved off spreadsheets and disconnected tools onto one auditable platform for classification, screening, and filing.
- Entry prep
- One system
- Screening
- Every party
Trade ERP with true landed cost
An importer replaced a generic ERP and spreadsheets with a platform built around purchase orders, shipments, and landed cost.
- Landed cost
- At receipt
- Margin
- Per product
Shipment visibility and customer portal
A forwarder unified carrier, shipment, and document data into one platform with end-to-end visibility and a self-service portal.
- Status
- One place
- Exceptions
- Early
Denied-party screening service
A trading company built an in-flow screening service that checks every counterparty against watchlists as orders are created.
- Screening
- In flow
- Coverage
- Every party
Bonded and FTZ warehouse module
A 3PL added bonded and FTZ handling to its warehouse operation with the inventory and reporting those statuses require.
- Status
- On live stock
- Regimes
- Bonded + FTZ
Vessel and cargo security vision
A terminal operator added computer vision over existing cameras for container, cargo, and perimeter monitoring with real-time alerts.
- Monitoring
- Real time
- Cameras
- Existing
Want analytics like this on your trade data?
Tell us where your numbers live and what leadership needs to see. You get a scoped plan and a quote within one business day.