Solutions · Transportation & Logistics
ETA as a live number,
not a phone call.
A purchase order can arrive in three separate shipments and no one can tell if it’s 30% or 100% fulfilled. Exceptions surface at the dock instead of days earlier. Goods receipt rarely flows back to procurement, so the PO stays “open” in reports long after the freight cleared. Quadrazene turns carrier and vendor events into a live, SLA-timed exception lifecycle that closes the loop back into the system of record.
Today
What we see in the field.
ETA is a phone call
Buyers and planners chase vendors and carriers by email and phone for status. There's no live signal to watch, so the question gets asked again tomorrow.
Partial fulfillment is invisible
A PO of 100 units can arrive in three separate shipments across two carriers. Nothing in the buyer's view distinguishes 30% fulfilled from 100% fulfilled until every piece has landed.
Exceptions surface at the dock
Customs holds, quantity variances, and missing data get discovered when the truck arrives, not when the shipment event that caused them fired.
The receipt signal never closes the loop
Goods receipt happens in the warehouse but doesn't reliably flow back to procurement. POs stay open in reports well after the freight physically cleared.
Vendor and carrier data can't share one view
Each vendor needs visibility into their own shipments only. A shared portal without data-layer isolation risks one vendor seeing another's orders, pricing, or performance.
Every party's tracking events arrive in a different shape
EDI, carrier APIs, portal scrapes, and plain email land in different formats from different sources. Reconciling them into one timeline by hand doesn't scale past a handful of lanes.
Regulatory context
The frameworks you already operate against.
Quadrazene's policy engine and audit ledger are framework-shaped. Specific control mappings available under NDA.
FMCSA / DOT
Carrier safety and hours-of-service data feed vendor and carrier scorecards without a separate manual pull.
C-TPAT / supply-chain security
Chain-of-custody evidence for customs-trade partnership programs assembles from the same audit ledger used everywhere else.
Customs & import filings (CBP entry, ISF)
Pre-arrival filing timeliness and accuracy are visible as tracked events, not a separate spreadsheet.
SOX (inventory-in-transit)
Accrual accuracy tied to goods-receipt timing is auditable to the record that closed the PO.
Regional data-privacy
Vendor and carrier contact data shared across a multi-tenant portal stays scoped by policy, not by convention.
ISO 28000 (supply-chain security management)
Where certified, the classification and audit model maps onto ISO 28000's evidence expectations.
How the four Engines compose
Insights predicts the ETA. Governance keeps vendors isolated. Actions closes the loop.
Buyers and planners ask plain-English questions across PO, shipment, and carrier-event data. Fulfillment percentage, transit-time variance, and vendor performance all answer in one grounded, cited chart.
Example Skills: Fulfillment-percent by PO, transit-lead-time variance, vendor performance scorecard, on-time-delivery trend.
ETA forecasts that show which signals drove the prediction — carrier historical variance, current transit event, customs-hold pattern — so a planner can trust the number instead of padding it by habit.
Example Skills: ETA forecast with driver waterfall, exception-classification confidence, lane-risk scoring, vendor-scorecard trend.
Vendor and carrier data isolation enforced at the data layer, not just the UI — a vendor's view is scoped to their own shipments by policy. Every portal action writes a before→after audit diff.
Example Skills: Vendor-scoped data-access policy, exception-SLA-breach detection, cross-party audit trail, policy-change diff.
Exception detection, classification, and SLA-timed escalation run as one Chain. Goods receipt writes back to the source ERP so the PO closes itself instead of staying open in a report.
Example Skills: Classify exception (delay/customs/quantity), assign + escalate on SLA breach, post goods receipt, notify vendor.
See it on real surfaces
Two walkthroughs that show the transportation shape.
ETA / delay prediction (predict-slip shape)
The predict-slip walkthrough shows the advisory pattern: model run, KPI tiles, narrative, driver waterfall, Action Item. The same structure reuses for ETA prediction — swap project milestones for transit events and carrier history.
Start walkthrough →Multi-system exception chain (defect-chain shape)
The defect-chain walkthrough shows a multi-hop, multi-system Chain with HITL gates and a final audit row. The same shape reuses for the detect → classify → assign → resolve exception lifecycle.
Start walkthrough →Platform surfaces that matter most
Where the transportation work actually happens.
Connections
Register ERP, carrier-tracking, and EDI Systems with their classification. Vendor scoping enforced at the data layer.
Advisory · forecasts
ETA predictions with driver waterfalls a planner can actually trust.
Governance
Vendor-isolation policy, SLA-breach detection, before→after audit diffs on every portal change.
Inbox · HITL
Exception assignment and escalation route here on SLA breach.
Mailbox
Carrier and vendor email/EDI feeds trigger the intake Chain the same way order-entry email does.
Records
Hash-chained provenance from PO to goods receipt. Re-verifiable export for a vendor performance dispute.
Security & compliance posture
The questions a multi-party rollout will ask.
Vendor isolation enforced at the data layer
A vendor's queries are scoped to their own shipment and order data by policy, not by UI filtering that a crafted request could bypass.
Customer-installable
Run on your VM, your Kubernetes, or air-gapped. Carrier and ERP credentials never leave your perimeter.
Hash-chained audit for every exception and write-back
Every classification, escalation, and goods-receipt post is one immutable row. A vendor performance dispute re-verifies offline.
BYOK with FIPS-validated KMS
Per-tenant DEKs wrapped by a CMK in your KMS. Key-shred on vendor offboarding.
IdP and SSO with vendor-scoped roles
Your Entra or AD FS is the source of truth. SCIM 2.0 provisioning. Vendor-user roles map to the isolation policy automatically.
On-prem or hosted model routing
Restricted-classification data routes to your model; general analytics can use a hosted model where policy allows.
What changes
Our gut feel for where the wins land.
Qualitative reads from the demos we've run. The shape of the change, not the size. We won't quote customer numbers we haven't measured.
ETA becomes a live number
Buyers watch a predicted arrival with a confidence band instead of calling the vendor for a status update.
Partial fulfillment is visible mid-flight
A PO's fulfillment percentage updates as each shipment event lands, not only once every piece has arrived.
Exceptions surface at the event, not the dock
Delay, customs-hold, and quantity-variance exceptions classify and route the moment the triggering event fires.
Goods receipt closes the loop automatically
The PO closes itself in procurement's view when the receipt event lands — no report shows a shipment as perpetually open.
Vendors see only their own data
The portal scales to more vendors without a growing list of manual access exceptions to maintain.
One audit trail for every party
Buyer, vendor, and carrier actions land in the same immutable ledger, so a performance dispute has one re-verifiable source.
Where to start
Our recommended first phase for a transportation pilot.
- 1.Connect the PO source (ERP, read-only) and one carrier-tracking feed. Tag their classification.
- 2.Run a fulfillment-percentage question through Insights on a lane with known partial shipments.
- 3.Bond Advisory. Run the ETA-prediction walkthrough on one lane; show the driver waterfall to a planner.
- 4.Onboard one vendor user. Confirm they see only their own shipments before adding a second vendor.
- 5.Run the exception-lifecycle walkthrough end to end, including the goods-receipt write-back that closes the PO.
Bring one lane and one vendor.
We’ll walk the ETA prediction, the exception lifecycle, and the vendor-isolation model on a sample of your shipment data.