Best Demand Forecasting Software for Belgian Craft Breweries

Why Belgian breweries need a different kind of forecast

A brewery in Wallonia or West Flanders is rarely forecasting only for Belgian cafés and supermarkets. With about 70% of production exported, it is forecasting for importers in Amsterdam, Paris, Berlin, London, New York and Tokyo at the same time, each with its own season, lead time and price sensitivity.

That export base is shrinking. Belgian Brewers figures show exports down 7.5% in 2023, 3.4% in 2024 and 4.8% in 2025, to 14.2 million hectolitres. At home, consumption fell another 3.2% in 2025 to just under 6.2 million hectolitres, and it is about a fifth lower than a decade ago.

The more important change is where the decline sits. In 2025 exports within the EU fell 3.4%, while exports outside it fell 13.7%. The UK dropped by more than a quarter. Germany grew by nearly a fifth and Spain by more than a tenth, while France and Italy declined. A brewery that forecasts "exports" as one line is averaging a market that is growing with one that is collapsing.

The fixed-production problem

Most forecasting tools assume that if demand beats the forecast, you brew more. Much of Belgian specialty brewing works the other way round.

Seasonal and abbey releases are often brewed once a year. A winter ale brewed in late summer for a November release needs its allocations agreed with importers months earlier, and there is no second batch to cover a mistake.

Trappist production is set within the abbey, and cannot be expanded to meet a demand spike.

Lambic and gueuze take years. The base lambic is aged before blending, so the volume available for a release this autumn was decided by brewing and blending decisions years ago. Forecasting here means estimating what the market will want two or three years out.

For lambic producers in particular, a single number is the wrong output. A low, central and high view of demand two or three years out, each tied to the importers and markets that would drive it, is more useful than a point forecast, and it can be narrowed each year as sell-through from earlier releases comes in. The blending decision can then be sized to the central case with a clear view of what the high case would need.

In all three cases the forecasting task is allocation: dividing a known, limited volume between importers so that each can sell through, and none is left holding stock that another market needed.

If you want to test your own allocation against importer sell-through, book a 30-minute conversation through the Vintaflow contact page.

Allocating by sell-through, not shipments

Shipment history tells you what each importer ordered. It does not tell you what each importer sold. The two drift apart whenever an importer overbuys, destocks or pre-orders ahead of a price or duty change, and the US saw four duty changes between April 2025 and July 2026.

A better basis is each importer's sell-through from the last comparable release:

1. How fast did it sell? Weeks from arrival to 80% sold, by importer.
2. Where did it sell? On-trade versus retail, and specialist versus mainstream accounts.
3. What was left? Stock on hand when the next release arrived.

An importer that sold through in six weeks and had nothing left earns more of this year's release. One that still held a third of it three months later earns less, or a conversation about why.

A worked example

Take an illustrative brewery with 3,000 cases of a winter release. Last year it split them evenly between five importers. Sell-through reports show the German and Dutch importers sold out within two months, the French importer had 20% left at New Year, the US importer had 35% left, and the UK importer had 45% left in a market that has since fallen by more than a quarter.

An even split again would repeat last year's shortage in Germany and the Netherlands and last year's surplus in the UK. A sell-through allocation might move 600 cases toward Germany and the Netherlands, trim the UK and US, and hold back a small reserve to release in January to whichever market is selling fastest. None of that requires more beer, only better information about where last year's went.

Reading the market split

The 2025 figures suggest a few practical adjustments for export-led breweries.

Neighbouring EU markets are the steadier base. EU exports fell far less than non-EU exports, and Germany and Spain grew. For fixed releases, these markets deserve first call on volume where importers have shown steady sell-through, not just where they have ordered the most.

The UK needs a fresh look. A fall of more than a quarter in one year is not a normal fluctuation. Importers there may be carrying stock from earlier orders, so allocations should follow their current sell-through and stock on hand, not last year's order.

The US needs duty in the plan. Since July 2026 EU goods pay a combined 10% duty on entry, after four changes in fifteen months. US importers have been ordering around those changes, so their 2025 and early 2026 orders are a poor guide to consumer demand.

Home demand is not a safety valve. With Belgian consumption falling too, surplus from an over-allocated export market cannot be assumed to sell at home.

Setting the release calendar

For seasonal and annual releases, the forecast has to be ready before the brew is set and before importers commit. A simple calendar keeps it honest:

1. Two months after last year's release: collect sell-through and remaining stock from every importer.
2. Before brewing: decide total volume from the sum of realistic importer demand, not from last year's batch size.
3. Before allocations are confirmed: split the volume by sell-through, and keep a small reserve.
4. After arrival: check sell-through at four and eight weeks and release the reserve to whichever market is moving fastest.

Following the same rhythm every year also gives the brewery a clean history, which is what makes the next forecast better.

What to look for in forecasting software

• Forecasts by SKU and market, from seasonality, trends and historical performance.
• Sell-through by importer and account type, built from the reports importers already send.
• Supplier and customer inventory reporting, so stock at each importer is visible before the next allocation.
• A spreadsheet starting point. Small breweries should not need an ERP or EDI project to begin.

Where Vintaflow fits

Vintaflow forecasts demand using seasonality, trends and historical performance, provides account-level performance and inventory dashboards, and reports supplier and customer inventory and sales performance. A brewery can load its shipment history and its importers' sell-through reports as xlsx or csv files and see, release by release, where its beer actually sold.

The allocation decision stays with the brewery. For how craft breweries elsewhere are handling a shrinking market, see demand forecasting for Michigan craft breweries and how to reduce stockouts for craft breweries.

To map your next release against last year's sell-through, book a conversation with Vintaflow.