Industrial AI
Production Pattern

Xenith Sort

The reasoning layer above parcel sortation control.

Xenith Sort sits above warehouse control and dimensioning systems for CEP hubs and 3PLs. It ingests scan, chute, DWS, WMS, and PLC signals; runs no-read recovery, revenue leakage checks, and an ops copilot with tool-grounded answers. Physical and billing actions route through human approval. Shadow Mode logs recommendations before any write path.

30-day shadow trial typical
Per-hub subscription or outcome-linked engagement

Integrate-don't-replace over WCS/MFC · Temporal or inline approval core · synthetic demo metrics labeled in workshops

Deployed as a scoped engagement for your stack - not a self-serve trial or live sandbox.

Xenith Sort: The reasoning layer above parcel sortation control.

Why teams look for this

Problems this pattern addresses

No-reads pile into manual re-sort

Typically 3–5% of parcels fall to exception lanes. Control rooms see dashboards but lack confidence-scored next actions.

Silent DWS vs WMS revenue leakage

Dimensioning and billed weight diverge. Carriers can leave 2–4% on the table until month-end reconciliation.

Dashboards without a governed write path

Ops copilots that invent divert commands fail security review. Recommendations need RBAC and audit before Assist.

Where it sits in your stack

Sorter / DWS / PLC
WCS / MFC / billing
Xenith Sort (reason + approve)
Operator inbox

How it works

No-Read Recovery

Exception queue, OCR hooks, re-induct proposals with citations.

Revenue Leakage Engine

DWS × WMS × rate cards → billing correction proposals only.

Ops Copilot

Tool-grounded Q&A over live hub signals; it cannot invent PLC writes.

Approval Inbox

Operator / supervisor / admin RBAC with append-only audit.

Governed AI

Safety, audit, and rollout rules

Read the Governed AI doctrine for how Xenqube separates model output from money and safety actions.

Zero-LLM-Trust on money and motion

Language models summarize and draft. Deterministic engines and humans own billing corrections and physical divert.

Shadow before Assist

Connect → Shadow → Assist → Scale. No WCS write path until supervisors trust reject rates.

Proof and measurement

Workshop and shadow-trial metrics are labeled when synthetic. Live SLAs require a named pilot agreement.

MetricTarget / demoNotes
Leakage flagged (demo)€1.2K+ MTDSynthetic demo ledger, labelled in workshops
Exception diagnosis (target)≥80% fasterShadow-trial success criterion, not live SLA
WCS writes in PoCNoneShadow Mode only until Assist phase

Who this is for

Control-room operators
Hub supervisors
Carrier revenue assurance
OEM software / service partners

Use cases

Carrier hubs losing 2–4% revenue to DWS vs WMS mismatches
Control rooms that see dashboards but lack governed, confidence-scored actions
OEM software attach on line sorters without replacing fusion or insight suites
3PL operators reducing manual re-sort on no-read exceptions

Rollout

Phased trust model

1. Connect

Read-path adapters for scan, chute, DWS, WMS signals.

2. Shadow

Log recommendations; measure operator reject rates.

3. Assist

Approved writes only; dual-control on billing corrections.

4. Scale

Multi-hub rollout with shared audit and playbooks.

What's included

Typical engagement deliverables

Scoped to your stack and compliance needs. We deploy the working system into your environment and hand over runbooks - not a sandbox login.

1

Signal map from your WCS/DWS/WMS read paths

2

Shadow-mode recommendation log (no writes)

3

Approval workflow wired to your RBAC model

4

Synthetic demo KPIs labeled for workshop review

Questions buyers ask

Frequently asked questions

Does Xenith Sort replace our WCS or fusion suite?
No. It sits above read paths and proposes governed actions. Rip-and-replace is not the default pitch.
Can it write to MFC on day one?
Not in Shadow Mode. Assist phase opens approved writes after you accept reject-rate and audit evidence.
Are demo € figures real customer results?
Workshop demos use synthetic labeled metrics unless a named pilot is commercially approved for publication.

Want Xenith Sort in your environment?

Book a 30-minute call. We'll map your use case, confirm fit, and outline a deployment timeline - no self-serve trial, no pitch deck.

30-day shadow trial typical from kickoff.