KedenMatch AI
In development · Open to pilots

Every document.
One clear picture.

Let your data align.
Keep your team moving.

An AI assistant for reconciling import documents, warehouse reports and accounting exports.

Try the scenario ↗Fictional example. No file uploads.
≠
Something to review100 ≠ 96One item. Different quantities.
↗
Click a document to explore it
Your whole shipment in context
Invoices·Customs declarations·Warehouse·SAP / 1C exports

Behind every line
is your shipment.

One mismatch can lead to a whole chain of questions. We want to help your team spot it early and know where to start.

From separate files
to a clear next step.

Explore a sample shipment: choose documents, review the matches and investigate the differences.

INTERACTIVE PROTOTYPEFictional data. This is not live AI analysis.
⋈Sample shipment#0248

Which documents shall we compare?

The invoice is included. Add sources to this sample reconciliation.

Start small.
Test what matters.

One shipment, one clear task and evaluation criteria agreed in advance.

Early access ↗
01Choose your scenario+

Identify where manual reconciliation takes the most attention and which discrepancies matter to your team.

02Agree on the data+

Define export formats, document scope and processing terms. We do not promise a ready-made SAP or 1C integration.

03Evaluate the results together+

Test the chosen scenario against agreed criteria. Timing, scope and cost are discussed separately.

Before we begin

Important questions.
Straight answers.

Is the product already available?+

KedenMatch AI is in development. This page shows a concept, not a live document analysis system. A pilot would test a specific scenario on an agreed dataset.

Is there a SAP or 1C integration?+

We do not claim a ready-made direct integration. For the pilot, we will discuss using exports from your accounting systems. File structures and matching rules need to be agreed separately.

Can AI make the final decision?+

We are designing an assistant for specialists. AI can make mistakes, and a difference in data does not always mean a document is wrong. Your team retains the final decision and reviews ambiguous cases.

How will our documents be handled?+

Before any documents are shared, access, processing location, retention and deletion terms must be agreed. Anonymized examples can be used for initial discussions. This landing page does not accept documents.

What would a pilot require?+

One specific process, a responsible specialist and an agreed set of documents. Together, we would define which discrepancies to look for and how to evaluate the results. Timing, scope and cost are discussed separately.

People behind the product.
Your challenge at its heart.

We study importers’ workflows and are building an assistant to make document reconciliation clearer.

CEO, founder

Ekaterina Pyurko

Hands-on experience working with documentation in SAP. Develops the KedenMatch AI concept and coordinates product development.

Co-founder

Kamilla Ilyasova

Coursework in accounting and SAP ERP. Contributes to research into importers’ workflows and the design of document reconciliation logic.

Start with one
of your shipments.

Tell us where your data differs today. This will be the starting point for discussing a KedenMatch AI pilot.

What we’ll discuss

Your process → documents → evaluation criteria

Get early access

KedenMatch AI is preparing to launch. Leave your name, phone and email in a short form to hear about the launch and pilot opportunities.

Request early access ↗

Opens Google Forms. The product is in development; a launch date has not been set. Do not send confidential documents.

Scenario of interest:

Contact us

y_pyurko@kbtu.kz+7 775 992 10 50

Almaty, Kazakhstan

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