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Paris rooftops at dusk Small domestic appliances H.Koenig

Case study · H.Koenig

They were leaving millions on the table.

H.Koenig sell small domestic appliances across French and European retail. Nobody could say who held the buy box, which listings had been duplicated, or where price had drifted — so we built the infrastructure with their commercial and supply teams until it could.

H.Koenig sell small domestic appliances from Paris across French and European retail — marketplaces, own-shelf retailers and the distributors in between.

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The real numbers

One account, one monthly cycle.

Not a projection. Every figure below is a count from the client's own July monitoring workbook, and each says what it counts. The scoped August exports elsewhere on this site cover a different cycle, so their totals differ.

4,196

listings monitored

Across the full reference list, read every day

78

active retailers and marketplaces

Marketplaces and own-shelf retailers carrying the brand

1,059

buy boxes held

At an 85.5% hold rate across the catalogue

116

boxes lost during the month

With 275 rewon, and 184 still lost at cycle end

185

listings out of stock

Live pages nobody could order from

23

repeat attackers

Sellers taking boxes more than once — Gpasplus took 28

Every figure is from the H.Koenig July 2026 monitoring workbook, Summary sheet, as of 31 July — one account, one cycle, reproducible from the platform on request. Figures elsewhere on this page scoped to a single shelf or a single day say so. Platform shown through the H.Koenig account, with H.Koenig's permission, for data demonstration purposes.

The size of the prize

Where the 10–30% actually comes from.

One channel, one day, and every leak on it invisible before the first scan. Dispersion is your own stock racing itself down a single page. Boxes lost are sales made at somebody else's price on a listing you built. Unbuyable pages are traffic arriving where nobody can order. Duplicates are pages you never created. Coverage gaps are shelves you were never on. Recovering even part of each is where the range comes from.

10–30% Recovering even part of each leak is where the range comes from.

Chart: open alert counts on one channel for one day — 157 price dispersion, 36 buy boxes lost, 27 unbuyable pages, 1 duplicate listing.

Open alert counts from one export file — Carrefour scope, 28 August 2026 — so the bars are comparable with each other. Account-wide across the July cycle the same catalogue showed 116 boxes lost in the month and 184 still lost at month end, across 78 retailers. Coverage gaps are scoped per client and carry no count here. No euro figure is implied: what these are worth on your catalogue comes out of your own first report.

Merqi dashboard on the H.Koenig account showing hold rate, boxes lost, active retailers and listings monitored, with 90-day trends

How it was built

Built with their commercial and supply teams, not delivered at them.

The first version answered one question: who holds the box. Everything after that came from sitting with the people who had to act on it. The commercial team needed the seller named and the gap in euros, not a score. Supply needed out-of-stock separated from delisted, because those are two different phone calls. Duplicate-listing detection exists because their team kept finding pages they had never created. We build features with the client, ship them, and keep going.

See the platform

Platform shown through the H.Koenig account, with H.Koenig's permission, for data demonstration purposes.

The outcome

Now they hold the box on 97.1% of contested listings.

Every listing where another seller was competing for the add-to-cart, on one channel, on one day. The eleven they lost are not a rounding error in a dashboard — each is a named seller, a captured price and a dated row their commercial team can act on that afternoon.

Darty channel export, pulled 11:43 UTC on 29 August 2026: 378 contested listings across 297 references, 367 held, 11 lost, 24 out of stock. A shelf is counted several ways — contested listings, references carried, references monitored — so each figure on this site says which. Platform shown through the H.Koenig account, with H.Koenig's permission, for data demonstration purposes.

Chart: 367 of 378 contested listings held on one channel, a 97.1% win rate, with 11 lost.

What it surfaces

Every question they could not answer before.

One scan, read six ways. Each is a real view in the platform with its own filters and its own export.

Buy box taken

Who holds the box on every listing, the winning price against your reference, and the gap in euros.

Standing is read from the captured ownership timeline, never inferred from price.

MAP monitoring

Where advertised price sits against your policy, per seller, per retailer.

Reported for your commercial judgement. In the EU that is exactly what the rules permit, and it is what we built.

Out of stock

Unbuyable rows separated from delisted ones, with days-out counted from the first failed read.

27 open on Carrefour at the August pull, 24 on Darty.

Coverage gaps

Retailers carrying the category but not the products, kept apart from listed-but-unbuyable.

Per retailer and per market, so the gap is actionable.

Duplicate listings created

Pages built on your references by sellers you never appointed, flagged the day they appear.

Added because their team kept finding pages nobody at H.Koenig had created.

Price spreads

Listings where seller prices diverge beyond tolerance — the clearest signal of leaked stock.

157 open at the August pull, some spreading nearly two to one.

Price dispersion

The same product, sold at twice the price, on one listing.

Each bar is one reference on one retailer in a single scan, drawn as a multiple of its own cheapest seller — so the longer the bar, the wider the gap between the cheapest and dearest offer on the same page. A spread like this is not a pricing strategy. It is stock reaching sellers nobody authorised, and it is the row that ends a distributor conversation quickly. On four of these five, the cheapest offer sits at H.Koenig's own reference price — so every other seller on the page is marked up from it.

Five of 157 open dispersion alerts, Carrefour scope, 28 August 2026. Platform shown through the H.Koenig account, with H.Koenig's permission, for data demonstration purposes.

Chart: five references plotted as a multiple of their own cheapest seller, the widest spreading beyond two to one.

The export

Every data point, every filter, clean Excel, any time.

Not a locked PDF summary. Any view in the platform, with whatever filters you have applied, comes out as a real workbook — one sheet per question, headers you can pivot on, tabular figures.

hkoenig-buybox-darty-EUR-2026-08-29.xlsx

Buy box lost 11 · we hold 367 · win rate 97.1% of 378 contested

SKU Product Buy-box seller Standing Box € Our € Us over box Rank
GSX24 H.Koenig GSX24 Electro Store Buy box lost 115.90 119.99 4.09 3
HF340 H.Koenig HF340 Electro Store Buy box lost 295.34 299.99 4.65 2
HF320 H.Koenig HF320 Super10Count Buy box lost 293.84
MONT JOLY H.Koenig MONT JOLY GpasPlus Buy box lost 46.54
MSX220 H.Koenig MSX220 Super10Count Buy box lost 348.99 349.00 0.01 2

Real sheets from the H.Koenig account, 28 and 29 August 2026 — rows exactly as exported. Sign conventions differ by sheet: the channel exports state how far our price sits above the box, the alert exports state a signed gap against the winning seller. Platform shown through the H.Koenig account, with H.Koenig's permission, for data demonstration purposes.

The monthly document

And a written report on top of it, every month.

The workbook is the evidence. The monthly document is the argument — what moved, what it cost, and what to do about it, in language you can forward to a distributor without editing.

The monthly H.Koenig distribution report scrolled from the executive summary through the contested-listing tables to the reference appendix

Platform shown through the H.Koenig account, with H.Koenig's permission, for data demonstration purposes.

In the platform

Optimisation, Channels, Catalog.

Commercial works Optimisation, supply works Channels and Catalog. One scan underneath all three.

Merqi Optimisation screen on the H.Koenig account, every contested listing with the seller holding the box and the winning price

Optimisation

Every contested box, the seller holding it, and what to do about the row.

Merqi Channels screen for Darty showing 63 references carried, a 96.8% buy-box win rate and 25 references out of stock

Channels

One shelf on its own — price position, stock reliability and what is out of stock, read day by day.

Merqi catalog listing every reference with its minimum, median and maximum price and the retailers carrying it

Catalog

Every reference against every listing found for it, retailer by retailer.

Hover a panel to play its recording. Platform shown through the H.Koenig account, with H.Koenig's permission, for data demonstration purposes.

How we work

We keep showing up. Every two months, or the day you ask.

The platform H.Koenig use today is not the one we shipped them. It is the one their teams asked for, session by session.

The working relationship

The product improves because the client is in the room.

A review every two months

Or whenever you ask for one. We go through what the platform found and what it missed.

Fixes the same day

A wrong row, a bad match, a retailer reading incorrectly — reported and fixed within the day.

Features built with you

Duplicate-listing detection, the stock split and the spread alert all came from client sessions, not a roadmap.

H.Koenig figures and platform footage appear here with H.Koenig's permission, for data demonstration purposes. The revenue figure above is the client's own projection of recoverable margin, not a Merqi guarantee.

The same thing, on your catalogue

What this looks like for you.

H.Koenig started with a reference list and nothing else. Everything above came out of the scans that followed.

The platform The dashboard, matched catalogue, channels and alert queue — how each view is produced. See how it works A sample report The monthly document and the workbook behind it, in full. See a sample report Retailer coverage The markets and shelves we read, and how a new retailer gets added. See coverage Every export Any screen, any filter, out as a clean workbook — and what is in each sheet. See the exports

Twenty minutes is usually enough to know.

Twenty minutes on what is happening across your retailers. Or start with a free audit of a handful of your own listings — completely free, and back with you within two days.

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Somebody else is setting your price on six retailers.

Merqi is the enterprise platform that tracks who sells your products, who holds the buy box, and at what price — across the retailers and marketplaces you actually sell through.

Retailers monitored

The problem

Right now, a seller you never appointed a reseller with your stock a marketplace trader an account you cannot name somebody undercutting you is costing you revenue and losing you customers.

They win the sale on a listing you built, to a customer who believes they bought from you. If that order arrives late, damaged or grey-market, you lose a customer and the revenue both — and neither ever appeared in your channel to begin with.

Undercutting is only the visible half. The rest of the damage never announces itself.

And it is never just one thing

Seven ways your distribution leaks.

A lost buy box is the one you can see. Merqi reads all seven on the same scan, so the damage you have not noticed shows up beside the damage you have.

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What it costs you

Why one row matters

Four in five sales never see a second seller.

The featured offer is not a ranking, it is the default. The other sellers sit behind a link most shoppers never open, and on mobile they are not on screen at all. So when someone else holds the box on your listing, the page still converts — for them, on your product, at a price you did not set.

What a lost box actually costs

The size of the prize

10–30%+

revenue our clients can recover

The margin is already yours. Somebody else is taking it.

Every buy box lost to an unauthorised seller is a sale made at a price you did not set, on a listing you paid to build. Recovering those listings, closing the coverage gaps and holding distributors to their terms is where the range above comes from.

See what one scan cycle found

Indicative range. What Merqi recovers for your catalogue depends on how many of your listings are contested and how far price has drifted — the first report tells you which.

How it works

Three workflows, one ledger.

Every finding starts as a row in the same scan. What changes is the question you bring to it.

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What you get

Everything happening on other people's shelves.

The first two are what most brands come for. The rest is what they did not know they were missing — and the platform they read it all in.

See everything the platform reads

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On one client account, Merqi reads 4,196 listings across 78 active retailers every day and names every seller holding a box that should have been theirs. Catalogues are unlimited — this is one brand’s shelf, not our ceiling.

July 2026 monitoring cycle, as of 31 July. Platform shown through the H.Koenig account, with H.Koenig's permission, for data demonstration purposes.

Case study and research

What the scans keep turning up.

One client's ledger, and the two questions every brand asks once they have seen it.

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Platform shown through the H.Koenig account, with H.Koenig's permission, for data demonstration purposes.

Go deeper

The rest of it, in detail.

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The monthly newsletter.

The latest intel on how buy boxes are set, new legislation across the jurisdictions we cover, how to enforce MAP legally, and breakdowns on dealing with rogue sellers — and how to approach each of them using the right ecommerce intelligence.

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Twenty minutes on your shelves. Then decide.

Twenty minutes is usually enough to tell whether Merqi has anything to say about your shelves. Or send us a handful of listings first and we will scan them, completely free, with the findings back inside two days.
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A workbook is generated at the end of each scan cycle. The first one appears here once your first scan completes.

Get a free audit of your listings

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Buy-box hold rate

Alerts by kind, by week

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Twenty minutes is usually enough to know.

Twenty minutes on what is happening across your retailers. Or start with a free audit of a handful of your own listings — completely free, and back with you within two days.
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