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KODLAGÖNDER AI

AI-native logistics, built on Claude

Shipping is full of unstructured work: order notes, product descriptions, messy addresses, carrier emails and customs rules. KodlaGönder AI uses Claude by Anthropic to turn that work into reliable, structured decisions.

THE PROBLEM

Shipping still runs on copy-paste

Fragmented carriers

Every carrier has its own portal, prices, rules and status codes. Teams waste hours switching between them.

Messy data

Addresses, product names and order notes arrive in free text, in many languages — and errors become failed deliveries.

Cross-border complexity

HS codes, customs descriptions, duties and restricted items stop small sellers from going international.

CAPABILITIES

What KodlaGönder AI does

Each capability is designed as a focused assistant inside the workflow — not a separate chatbot.

In development

Shipping copilot

Describe a shipment in plain language and get a structured draft: addresses, parcel, service and price, ready to confirm.

In development

Smart carrier selection

Scores each quote on price, transit time, reliability and on-time history, and explains the recommendation.

In development

Customs & HS code copilot

Suggests HS codes, writes customs-grade item descriptions and flags missing documents before export.

Planned

Address intelligence

Parses and standardizes international addresses in any script and catches errors before label purchase.

Planned

Exception agent

Watches tracking events, detects delays and returns early, and drafts customer messages and carrier claims.

Planned

Multilingual customer care

Answers “where is my order?” in your customer’s language, grounded in real tracking data.

Planned

Document AI

Reads commercial invoices, packing lists and carrier contracts and turns them into structured data.

Planned

Analytics copilot

Ask questions about cost, carrier performance and delivery quality and get answers with charts.

HOW IT WORKS

From a sentence to a shipped parcel

1

Understand

Claude reads the request, order or document — in any language — and extracts what matters.

2

Structure

The output is validated against strict JSON schemas, so the platform only acts on clean, typed data.

3

Decide

Business rules, carrier quotes and history are combined into a recommendation with a clear reason.

4

Confirm

You review and approve. Nothing is booked, paid or sent to a customer without a human decision.

EXAMPLE

One request, everything prepared

Merchant request

“Ship 12 ceramic mugs (6 kg) from Istanbul to a customer in Munich, it has to arrive before Friday. Customer speaks German.”

KodlaGönder AI draft
Route
Istanbul, TR → Munich, DE
Parcel
1 box · 6 kg · 40×30×30 cm
HS code (suggested)
6912.00 — ceramic tableware and kitchenware
Customs description
Ceramic coffee mugs, 12 pcs, stoneware
Recommended service
Express — estimated delivery Thursday
Duties & taxes
DAP — import VAT payable by recipient, customer notified
Customer message
Prepared in German, sent after you confirm

Illustrative example. HS codes and duty estimates are suggestions and must be verified before export.

WHY CLAUDE

Why we build on Claude

Reliable structured output

Shipments, customs data and addresses must be exact. Schema-constrained outputs let us validate every field before acting.

Truly multilingual

Our users and their customers write in Turkish, English, German, Arabic and Russian. Claude understands all of them.

Long-context reading

Carrier tariffs, contracts and customs rules are long documents. Claude can read them whole and answer precisely.

Safety-first design

Anthropic’s focus on safe, steerable models matches a domain where actions cost real money.

RESPONSIBLE AI

Our AI principles

01

Humans stay in control

AI suggests and prepares; people approve every action that spends money or contacts a customer.

02

Explain every recommendation

Each AI decision comes with a short, readable reason, so users can trust — or correct — it.

03

Minimum necessary data

Only the fields a task needs are sent to the model; personal data is masked in logs.

04

Guardrails, not just prompts

Schemas, business rules and spending limits sit between the model and any real-world action.

05

Measured, not assumed

We evaluate AI features on real, anonymized logistics cases before rolling them out.

Ready to ship smarter?

Join the early-access program and help shape the AI-native shipping platform.