Purchase intelligence · Serbia

Know what Serbia really buys.

Kinta turns verified fiscal receipts into SKU-level market intelligence. Refreshed around the clock, anonymized by design.

Book a demo Explore the data →

Dairy: Serbia, 30 days

Live

23.4%

category share

154.99

median price RSD

+2.1

pp vs May

Imlek

34%

Private label

21%

Meggle

14%

How the panel works

From cash register to market view in three steps.

Three steps between a paper receipt and a market view you can query: no surveys, no recall, no waiting for the monthly wave.

People scan.

Shoppers scan fiscal receipts in the Kinta app to run their budgets.

Kinta verifies & anonymizes.

Every receipt is checked against the tax authority; identities are stripped, households pseudonymized.

You see the market.

SKU-level purchases, prices and baskets: aggregated, never below 20 households per data point.

Read the full methodology →

The difference

Most retail data still ships as a spreadsheet. Kinta ships answers.

The tools brands use today were built to store numbers, not to answer questions. Kinta was built the other way around.

The old way

With Kinta

quarterly_export_final_v7.xlsx

fx=SUMIFS(D2:D8,B2:B8,">0")

	A	B	C	D	E	F	G
1	128,44	91,20		204,90	17	#####	0,3
2	88,01	#REF!	152,70		4,120	63
3		210,50	77	1,884		12,90	340
4	45,60	132		#####	8,44		27
5	301,20		66,70	190	#REF!	5,1
6	12	447,00	88		231		9,04
7		73,30	156,90	42	6,7	118

Sheet 1 of 7last saved 26 days ago

Dairy · category share

Live

23.4%+2.1pp

vs. last week · refreshed 4 min ago

Imlek

34%

Priv. label

21%

Meggle

14%

example data · every point a verified receipt · k≥20

The old way

With Kinta

Scattered across files and tabs.

Numbers live in ten spreadsheets nobody can reconcile.

One live dashboard.

Every category, price and basket in a single place.

Hard to read: work by hand.

Your team rebuilds the same charts in Excel, every single month.

Readable at a glance.

Charts built for decisions, not for exporting.

Take it as it comes.

One rigid layout; if it doesn't fit your question, tough.

Shaped to you.

Filter, cut and arrange the view around how you actually work.

No way to just ask.

Every new question is a data-team ticket and a three-day wait.

Ask in plain language.

Kinta's AI answers from your real data: not a generic model.

A month behind.

The report lands weeks after the shopping already happened.

Refreshed continuously.

Receipts land minutes after purchase: the panel is 24/7 live.

Based on what people claim.

Surveys and recall: memory, not receipts.

Based on what registers printed.

Every data point traces to a fiscally verified receipt.

Stitched from many panels.

Different sources, different methods, gaps in between.

One coherent source.

SKU-level, nationwide, one methodology: with k≥20 built in.

Stop exporting. Start asking.

Book a demo

One panel, two ways in.

Work in the live dashboard, or pull the same numbers straight into your own BI stack: one panel behind both.

Live dashboard

Category shares, price ladders, promo effect, basket affinity: 24/7, filterable to yesterday's shopping.

panel.kinta.co

Data feeds & API

Coming soon

The same panel, delivered your way: scheduled exports or a REST API into your BI stack.

# price share, daily grain
GET /v1/categories/milk/share?region=rs
HTTP/1.1 200 OK
{
"category": "milk",
"grain": "daily",
"k_floor": 20,
"rows": 30,
"refreshed": "4 min ago"
}

CSV / XLSX exports REST API · JSON BI-ready

Use cases

What you can answer.

Six questions FMCG teams ask every week. Answered from receipts, not recall. Click a card for an example.

Share & switching

Who wins the shelf when prices move?

See an example

Dairy · week 26

Imlek

+2.1pp

Priv. label

−1.4pp

Meggle

+0.3pp

example data · k≥20

Promo effectiveness

Did the −20% actually change baskets, or just margins?

See an example

Volume index · −20% promo

Before

100

During

164

After

112

+12 index points kept after the promo ended.

example data · k≥20

Price ladder

Where does your SKU sit against private label, daily?

See an example

1l milk · today

Premium

189,99

Your SKU

154,99

Priv. label

121,99

27% above private label: stable 11 days.

example data · k≥20

Basket affinity

What lands next to your product at the register?

See an example

Bought with your milk

Bread

41%

Coffee

18%

Bananas

16%

Cross-promo candidate: bread, weekday mornings.

example data · k≥20

Distribution reality

Which stores sell you? And which quietly stopped?

See an example

Stores seen selling you · 30 days

212

active

gained

−14

went quiet

12 of 14 losses are one chain in Vojvodina.

example data · k≥20

Launch tracking

First 90 days of a new SKU, receipt by receipt.

See an example

New SKU · receipts seen

Day 30

1,240

Day 60

2,610

Day 90

4,120

Repeat rate 31%: above category norm.

example data · k≥20

Know what Serbia really buys.

From cash register to market view in three steps.

People scan.

Kinta verifies & anonymizes.

You see the market.

Most retail data still ships as a spreadsheet. Kinta ships answers.

One panel, two ways in.

Live dashboard

Data feeds & API

What you can answer.

Share & switching

Promo effectiveness

Price ladder

Basket affinity

Distribution reality

Launch tracking

Anonymized by design. Verified by the state. Sub-20? Never shown.

The panel runs on an app people actually love.

See your category in the data.