About Marksyte

I trace every monthly number back to the files that produced it

I compare the files your retailers, distributors and ERP teams send. When EAN 8412345678918 shows 86 units in one file and 91 in the other, I trace the difference to its cause and leave a process your team can repeat.

Marksyte delivery modelEach review has one named owner, from source files to handover

Roman Petrychenko
Roman PetrychenkoSolutions LeaderFMCG champion
01One mismatch traced to its cause
02Mappings fixed in a maintained spec
03A queue with owners and evidence

What I bring

I write the rules down so the work stops living in one person's head

The method behind this page is public. It lives in the blog I write on retail and distributor data, by the same person who runs the reviews.

Business meaning

Agree what each number means

I write the rules out of real cases: SKU-8918 maps to EAN 8412345678918, customer CUST-042 maps to store ES-042

Data structure

Work inside the systems you already use

I connect the Excel files, ERP exports and partner reports you have today, no new platform and no six-month build

Operational use

Leave a process, not a dependency

Every rule, owner and open exception lands in a working document, so the cycle survives without me

How Marksyte publishes

How Marksyte publishes practical guides

Marksyte publishes practical material about FMCG retail data, reconciliation, mapping, data quality and recurring data operations. Operational examples are illustrative unless stated otherwise, external factual claims are sourced where appropriate, and the methods reflect Marksyte’s operating approach. Articles may be updated when methods, examples or source material change.

“Fourteen distributors sent fourteen file formats. I mapped them to one schema, and the monthly close went from three days to one morning.”

How I work

Honest about scope, rigorous about evidence

I start from the report you cannot explain

One monthly figure, one recurring mismatch or one hand-off between teams; I begin with the evidence

I work with the tools you already have

I design inside your Excel, ERP and BI, and I say clearly what I do not do

I document for continuity

Each rule, assumption and open exception gets an owner, so the work never depends on one person

Best-fit work

You know it is a fit when one of these sounds like your month

01

You rebuild the same workbook every month

And nobody can reproduce last month's number from the saved inputs and rules

02

Two partners call the same product differently

One file says EAN, another says SKU, and the mapping lives in someone's inbox

03

Sell-out and ERP disagree

And the 5-unit gap on EAN 8412345678918 gets fixed “when there is time”

04

Automation or AI needs trusted inputs

And you cannot prove which version of the data produced the result

Start with the problem

Bring the sources, the mismatch or the manual process. I will help make the next step clear

Discuss your data challenge