Risk of delisting: how to spot the signs before it's too late?

Claire Brunaud
1 day ago
6 min read

The item is still listed in the catalog. It is still included in commercial agreements, and no distributor has officially announced its withdrawal.

However, on the ground, something has changed.

Volumes are decreasing, some depots have stopped selling it, and the number of end customers is gradually declining. Taken individually, these changes may seem insignificant. Taken together, however, they could signal a significant enough loss of momentum to jeopardize the product's continued presence in the assortment.

The risk of delisting therefore does not always appear at the time the decision is announced. It can build up several months beforehand, through warehouse releases, product distribution, and changes in its customer base.

But you still need the right indicators to see it coming.

A listed product is not necessarily an active product

The listing obtained during commercial negotiations gives a product the possibility of being sold within the distributor's network. It does not guarantee that it will actually be active in every warehouse or that it will generate regular sales to end users.

In Foodservice, this distinction is important.

Sell-in data allows tracking of products sold by the manufacturer to its distributors. It provides an initial overview of delivered volumes, but can be influenced by inventory levels and inter-warehouse transfers.

Sell-out data complements this view. Depending on the level of detail provided by the distributor, it provides information on the references sold , the volumes shipped , the active warehouses , the number of end users and their typology.

This analysis allows us to verify whether the product is actually present in sales or whether it is beginning to gradually disappear from the market.

First sign: a steady decline in sell-out volumes

A decrease in volume does not automatically mean that a product will be delisted. However, it is the first signal to examine.

The analysis should cover several comparable periods. An isolated decline may be linked to seasonality, a shift in orders, or a transaction carried out the previous month. A repeated decline, however, warrants closer attention.

In particular, it is important to observe:

the change compared to the previous year;
the regularity of the decline;
the references or areas that concentrate the decline;
the difference between the sell-in trend and the sell-out trend.

This last comparison is particularly useful. Still-stable deliveries can mask a slowdown in actual sales. The distributor continues to receive the product, but it sells more slowly to end customers.

The risk has not yet been officially stated. However, it is beginning to materialize in the rotation.

Second signal: a declining average monthly sales figure

The cumulative volume provides a general overview. The average monthly sales , or AMS, provides more information about the sales pace.

A reference can maintain a decent annual volume thanks to a few large orders, while experiencing a gradual decrease in its output rate. This slowdown may be less noticeable in an overall reading.

Comparing the VMM of the period to that of the previous year allows us to identify:

a loss of regularity;
shortness of breath after a business transaction;
a dependence on a few sales peaks;
a widespread decline across several deposits.

VMM is one of the indicators that can be tracked by reference and by deposit in the analysis of sell-out data.

It helps to distinguish a one-off underperformance from a more structural weakening.

Third signal: the decline in the number of active deposits

A product can remain successful at the national level while gradually disappearing from certain warehouses.

This is often how risk becomes difficult to perceive. The good results of a few depots offset the decline or cessation of sales elsewhere. The consolidated performance remains acceptable, but the actual network coverage shrinks .

It is therefore necessary to monitor the number of repositories in which the reference actually generates outputs.

A decrease can indicate several situations:

the product is no longer available locally;
It is still referenced, but not very active;
the sales teams at the warehouse no longer recommend it;
its customer base has shrunk;
Sales are concentrated in a limited number of warehouses.

Before drawing any conclusions, however, it's essential to consider inter-warehouse transfers. These can skew an analysis based solely on direct deliveries and attribute performance to the wrong warehouse. Reconciling this with sell-out data provides a clearer understanding of actual flows.

Fourth signal: fewer end users are buying the reference product

A product may maintain its sales volume for a period of time while gradually losing buyers.

A few major clients are increasing their orders and compensating for the loss of several smaller accounts. The overall figure remains stable, but the customer base is narrowing.

The number of end users therefore provides an additional perspective.

If it decreases while volumes remain stable, performance becomes more concentrated. If volumes and the number of customers decrease simultaneously, the signal is clearer: the product is losing both distribution and activity.

This trend can also be analyzed by customer type. According to information provided by the distributor, sell-out data can distinguish between types, subtypes, and sub-subtypes of end users.

The teams can then check whether the decline affects all markets or only a specific segment.

Fifth signal: performance depends on a few deposits or customers

A high concentration is not necessarily a problem. Some products naturally meet the needs of a particular clientele or area.

However, it becomes a source of weakness when performance relies almost entirely on a few repositories or end users.

The loss of a single major client can then cause a sharp drop in results. Similarly, the withdrawal of a high-contributing depository can jeopardize the overall performance of the benchmark.

To assess this risk, it is useful to look at the distribution of volumes:

between the different warehouses;
between customer segments;
between the references of the same range;
between periods with and without commercial activation.

This analysis helps to measure the true strength of the performance. It also helps to identify areas where the benchmark still needs to gain wider exposure.

The setback has been identified: how to react?

Detecting a risk of delisting is only useful if the team can turn the observation into an action plan.

The first step is to pinpoint the problem . Does the decline affect all distributors, a particular network, a few depots, or a specific customer segment? Is it limited to a single product or does it affect the entire range?

Next, the possible causes must be investigated with the teams involved. The data indicates where performance deteriorates, but it doesn't always explain why.

The product may suffer from a lack of visibility, an unsuitable product range, insufficient activation, or a drop in demand in certain markets. These hypotheses must be tested against feedback from the field and discussions with the distributor.

Finally, the action plan must be targeted. This could involve reviving certain deposits, working on a customer segment, adapting the sales pitch, or evaluating the effectiveness of a sales operation.

The goal is not to defend the benchmark at all costs. It is to determine if it still has exploitable potential and what actions would confirm this.

Prepare for the exchange with the distributor

When faced with a struggling benchmark, simply reporting a drop in volume leaves little room for constructive discussion.

A better-prepared meeting relies on thorough reading:

volume trends;
average monthly sales;
number of active deposits;
number and type of end users;
concentration of performance;
comparison with previous periods.

This information allows for a more credible diagnosis and the proposal of actions tailored to the reality of the network.

The supplier and distributor can then discuss observed performance from a common perspective. Sell-out data becomes a tool for evaluating past actions and building next steps, rather than simply a summary presented during negotiations.

Moving from late alerts to regular monitoring to counter the risk of delisting

In practice, these indicators are often distributed across several distributor files, with different formats, reference systems, and transmission frequencies.

This dispersion complicates monitoring. When the analysis has to be manually reconstructed for each period, teams can detect the decline only once it is already well established.

A sell-out data management solution like KaryonFood centralizes and harmonizes this information to track performance by product reference, warehouse, and end user. The goal is to make changes visible early enough for teams to analyze and take action.

The risk of delisting is not usually apparent in a single indicator. It appears in the accumulation of several signals: declining volumes, slowing turnover, inactive deposits, and a shrinking customer base.

Waiting for the official announcement often means intervening too late.

The best time to defend a benchmark is when its decline can still be understood, discussed, and corrected.