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AI operations layer for Amazon sellers

AI operations for Amazon sellers.

WizLogistics helps sellers turn Purchase Orders, shipments, documents, Amazon source facts, and SKU identity into a cleaner operating system. Start with faster reconciliation. Grow into AI-assisted seller operations.

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AI review queue

RUNNING

Shipment FBA-47A2

Linked

Map seller SKU to internal SKU

56%

Compare received vs expected

38%

Draft claim packet

24%

ingest.amazon.shipment --scope=fba

facts linked: 3 / suggestions queued: 2

30-60 min

typical manual claim prep

<10 min

target workflow for supported claims

Human-reviewed

AI suggestions before they become evidence

Built for the seller journey

From first import to AI-assisted operations.

The first workflows focus on the evidence sellers need most: Purchase Orders, shipments, documents, SKU identity, and reconciliation. The same foundation is built to support broader catalog, inventory, finance, and operations automation over time.

EV-01

One evidence trail

Keep Purchase Orders, shipments, invoices, Amazon source facts, and supporting documents connected to the same operational story.

AI-02

AI-assisted cleanup

Use AI to extract document details, suggest SKU mappings, flag quantity conflicts, and prepare work for human review.

SH-03

Shipment intelligence

Treat Amazon shipments as evidence, not the whole truth, so supplier, carrier, document, and manual updates can shape the canonical record.

RC-04

Claim-ready reconciliation

Move from scattered screenshots and spreadsheets toward consistent, document-backed reconciliation packets.

SK-05

Catalog and inventory context

Bring listings, inventory, and seller SKU data into the journey so product identity gets clearer over time.

API

API-first foundation

Connect the workflow to internal tools with bearer-keyed API access and typed product surfaces as the platform grows.

AI with an audit trail

Agents help with the work, but evidence stays explainable.

WizLogistics is designed around source facts, canonical business records, and reviewed suggestions. That means AI can help sellers move faster without flattening every Amazon record, invoice, and manual correction into the same black box.

Source facts preserved

Suggestions before confirmation

Document-backed outcomes

Step 01

Connect the seller account

Authorize Amazon once. WizLogistics starts building the source-fact layer behind your operations.

Step 02

Collect the messy evidence

Purchase Orders, shipments, documents, listings, and inventory updates land in one organized workflow.

Step 03

AI pass

Let AI do the first pass

Agents extract, compare, suggest, and draft while your team keeps control of the final business record.

Step 04

Review and act

Confirm mappings, resolve exceptions, and turn the evidence trail into repeatable operational outcomes.

OAuth access

Connect Amazon without shared passwords.

Tenant-scoped data

Every organization stays isolated by design.

Encrypted storage

Evidence is protected in transit and at rest.

Deletion path

Seller data can be removed after de-authorization.

Built for the next workflow too

Start with reconciliation. Keep the evidence layer for everything after it.

The first payoff is faster, cleaner claim preparation. The durable asset is the connected seller record that can support future catalog, inventory, finance, and operations workflows.

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Stage 01

Evidence trail

Purchase Orders, documents, shipments, listings, and inventory context stay connected.

Stage 02

AI review

Agents extract, compare, suggest mappings, and prepare the first pass.

Stage 03

Operational outcome

Your team reviews the work and turns it into claims, corrections, and repeatable workflows.