Demand Forecasting Software for Yarra Valley Wine Producers

What the Export Numbers Actually Say

Two figures from the Wine Australia report for the 12 months to March 2026 matter more than the headline. Exports fell 7 per cent by volume, to 603 million litres. Exports fell 14 per cent by value, to $2.28 billion. Value dropped at twice the rate of volume.

That gap is the story. A category losing volume evenly across price tiers would see the two numbers move together. When value falls faster, the mix is shifting down: either the same producers are discounting, or the cases still moving are cheaper ones. For an estate whose Pinot Noir and Chardonnay sit well above the category average, that is a market where the average is a poor guide to your own position, and where the buyers you depend on are actively deciding which Australian producers to keep.

By late July 2026, export volumes had fallen to their lowest level in 22 years. The correction is not finished.

The UK figures show the mechanism at work. Australian wine exports to the UK fell 9 per cent by volume to 190 million litres, but only 5 per cent by value to $336 million. Volume left the market faster than value did. UK importers cut commodity Australian wine harder than premium Australian wine. They rationalised ranges rather than abandoning the country. The producers who survived that rationalisation were, broadly, the ones whose wines were pulling through at the accounts the importer serves.

That is the practical distinction for a Yarra Valley estate. The threat is not general market decline. It is being the line item an importer removes when the range gets cut from forty Australian wines to twenty-eight.

The Allocation Problem Is a Timing Problem

Most Yarra Valley estates sell through three channels at once: cellar door and DTC, domestic wholesale through Melbourne and Sydney, and export through importers in the UK, Asia, and sometimes the US. Each channel has a different demand curve, a different margin structure, and a different lag between order and payment.

The vintage is fixed. Once the fruit is in and the wine is made, the estate has a known number of cases and an unknown distribution of demand. Every allocation decision is therefore made against a forecast, whether or not the estate calls it one. An allocation built on last year's shipment totals is a forecast with one input and no error bars.

The specific failure mode is over-commitment on one channel, discovered too late to correct. An importer takes 400 cases of the current-vintage Pinot Noir and needs 280, because an on-trade account reduced its wine list. The estate now has 120 cases sitting against an export commitment, which were not available in July when a domestic distributor came in with a restaurant group request. The loss is not the 120 cases. It is the higher-margin domestic revenue those cases could have carried, in the same vintage cycle.

The inverse costs just as much and is harder to see. An estate that under-commits to export to protect domestic availability, then watches domestic demand soften, ends the year with inventory it could have shipped and an importer relationship that got a smaller allocation than it wanted. Importers remember that. The next range review is where they remember it.

Both errors come from the same gap: no forward view of demand by channel at the moment the commitment is made.

If you want to map the handoffs in your own allocation process before discussing software, book a conversation with Vintaflow.

Building the Forecast From Account History

Vintaflow forecasts demand at SKU level using seasonality, trend, and historical performance drawn from the estate's existing order records. For the export channel that means importer order history, order frequency, and the timing of past seasonal commitments. For domestic wholesale it means distributor order cadence. For DTC it means transaction history from cellar door and online.

The useful output is not a single number for total demand. It is a channel-by-channel view that shows where the flexibility sits. If importer order trajectory suggests UK demand is likely to run below the prior vintage, that probable availability can be identified before the commitment window closes rather than discovered afterwards as unsold stock in a bonded warehouse.

Vintaflow also reports inventory and sales performance for each account in the chain. For an estate managing eight to fifteen meaningful trade relationships, the account exception view is the part that changes behaviour: which accounts have stretched their reorder interval past their own baseline, which have shrunk order size across consecutive periods, and which have dropped a specific high-margin SKU out of recent orders. Those are the signals that should move allocation, and they arrive weeks before a shipment report would show them.

For the importer conversation, the difference is credibility. Telling a UK importer that you are allocating 350 cases of the 2025 Pinot Noir because their order history across three vintages and their current account activity supports it is a different conversation from quoting a number. Importers building multi-year plans around Australian wine respond to that, and the relationships that hold through a soft market are usually the ones with data on both sides of the table.

None of this requires replacing existing systems. Vintaflow runs from the xlsx or csv files most estates already produce from their order or accounting tool, and no ERP is required. Accounting stays where it is. The forecast is configured around the estate's own vintage structure and channel split.

Plan for the Forecast Being Wrong

No forward model gets a vintage allocation exactly right, and an estate that treats the forecast as a commitment rather than a starting position has simply moved the rigidity somewhere else. The useful question is how much of the vintage stays uncommitted, and for how long.

Most estates that handle this well hold back a reserve, commonly 10 to 15 per cent of the allocatable cases, and release it against demand signals through the year rather than distributing it at vintage release. The reserve is what makes a late domestic programme possible without breaking an export commitment, and it is also what allows an estate to reward an importer whose accounts are genuinely pulling through.

The cost of that reserve is real. Cases held back are cases not earning, and stock sitting in a bonded warehouse carries storage against a fixed vintage that will not grow. So the reserve should be sized against forecast confidence rather than habit. Where account cadence data is thin, or where an estate has recently changed importers in a significant market, a larger reserve is justified. Where three vintages of consistent order history exist across a stable importer set, a smaller one is.

Reviewing that number each year against what actually happened is the discipline. Estates that never revisit the reserve either strand inventory or run out of flexibility in July, and both mistakes are quiet until the vintage closes.

Where to Start

Do not begin with a full planning rebuild. Take one channel, usually export, and one vintage. Reconstruct what the allocation decision would have been if it had been made from account cadence data rather than prior-year shipments, and compare it to what actually happened. Estates that run this exercise honestly usually find one commitment they would have sized differently, and the value of that single correction is generally larger than the cost of the system.

Then measure three things through the next cycle: how long it takes to assemble the inputs for an allocation decision, whether two people looking at the same data reach the same allocation, and how quickly the estate can explain to an importer why their allocation is what it is.

To test that against your own vintage and channel split, book a 15-minute demo with Vintaflow. Bring three vintages of order history and one allocation decision you would like to have back.