Wine & Spirits · Demand Forecasting

Best Demand Forecasting Software for Marlborough Wine Exporters

Marlborough Sauvignon Blanc is effectively New Zealand’s export brand: Sauvignon Blanc makes up about 85% of the country’s wine exports and Marlborough is the dominant source of that volume. Exporters concentrate a single variety from one region into a handful of large markets that all place overlapping claims on each vintage. Getting demand forecasting right — before harvest and during the 18–24‑month selling cycle — is the difference between maximising price and allocation in core markets and spending the following year unwinding overstock in slower ones.

Key Challenges

  • Sauvignon Blanc accounts for about 85% of New Zealand’s wine exports, with Marlborough providing the bulk of that volume, so a single region and variety drive most export demand risk.
  • Roughly 90% of New Zealand wine production is exported, leaving little domestic buffer if export allocations are mis‑forecast.
  • The UK and US together account for more than 60% of New Zealand Sauvignon Blanc export volume, but they operate on different promotional calendars and channel mixes.
  • New Zealand Sauvignon Blanc shipments into the US and UK rose 14% and 19% respectively in the year to late 2025, even as global wine volumes declined, making shipment history alone a misleading guide to future demand.
  • Global wine production fell to 225.8 million hectolitres in 2024, the lowest level since 1961, reducing buffer volumes and raising the stakes on getting Marlborough allocations right the first time.

Industry Data

MetricLatest valueContextSource
Share of NZ exports that are Sauvignon Blanc≈85%Single variety dominates export mixNew Zealand Winegrowers white wine stats
Share of NZ wine production exported≈90%Highly export-dependent industryNZ Winegrowers annual report 2025 / Vinetur
NZ wine export value (year to June 2025)≈NZ$2.10bnVolumes up ~5%, value slightly downNZ Winegrowers 2025 annual data
US share of NZ Sauvignon Blanc exports36% of volume; shipments +14% YoY to Nov 2025Largest single market by volumeRural News Group 2026
UK share of NZ Sauvignon Blanc exports27% of volume; shipments +19% YoYSecond-largest market; off‑trade ledRural News Group 2026
Global wine production 2024225.8 mhl (‑4.8% YoY)Lowest since 1961; tighter global supplyOIV 2024 vine and wine sector report

Best Demand Forecasting Software for Marlborough Wine Exporters

Who this is for: Marlborough producers, from large publicly listed wine companies to family-owned estates, managing simultaneous demand signals from UK, US, Australian, and Asian markets across a single short harvest window each year.

Marlborough Sauvignon Blanc accounts for approximately 85% of New Zealand’s wine exports, with Sauvignon Blanc representing about 85% of all New Zealand wine exported overall. Around 90% of the country’s wine production now goes to export markets, which makes Marlborough one of the most export‑dependent wine regions in the world. For the producers and exporters managing those allocations, this concentration is commercially powerful but operationally demanding: when one variety from one region feeds three or four major export markets at once, the demand signals arrive in different currencies, on different retail calendars, and from buyers with very different inventory philosophies.

Add the southern hemisphere harvest timing constraint — Marlborough usually picks in March and April — and the complexity increases. Harvest completion and vintage release planning often happen while UK retailers are still finalising their Christmas calendars and US importers are planning fall placements, meaning Marlborough exporters are making long‑range allocation decisions before downstream demand is fully visible.

The Specific Forecasting Challenge for Marlborough Exporters

Marlborough exporters face four intertwined forecasting challenges.

Competing market demand signals arriving out of phase.
The UK off‑trade, Marlborough’s largest volume destination, typically plans promotional calendars 6–12 months ahead, so major multiple retailers are making Sauvignon Blanc volume commitments for the next Christmas period in March, just as Marlborough is harvesting. US grocery and fine‑wine channels run on different timelines again, while Japan and Hong Kong have their own seasonal peaks. Allocating a single vintage across all four without a synchronized demand picture is inherently risky.

Single variety, multi‑tier buyer mix.
Many Marlborough producers sell the same estate Sauvignon Blanc into restaurants, supermarkets, and specialist retailers rather than distinct cuvées for each channel. Buyer behaviour and depletion velocity differ sharply across those channels, so shipment data alone cannot reveal true demand patterns by segment.

Short harvest window, long selling cycle.
A typical Marlborough vintage is harvested in about six weeks, but the resulting wine sells in UK supermarkets, US shops, and Asian restaurants for 18–24 months. A forecast built at harvest on partial data can easily mis‑allocate large volumes, and there is limited scope to correct after bottling.

Currency exposure across four markets.
Marlborough exporters price in NZD while selling into GBP, USD, AUD, and JPY markets. When the NZD strengthens against GBP or USD, NZ Sauvignon Blanc becomes more expensive in local terms; when it weakens, it can undercut competitors. Forecasting demand without modelling currency impacts is effectively forecasting only half the problem.

Market Context Supply chain implication
UK Second-largest destination; 27% of NZ SB export volume; shipments +19% Long promotional lead times; off‑trade led.
US Largest destination; 36% of NZ SB export volume; shipments +14% Importer‑led allocation; TTB and channel mix.
Australia Significant but smaller NZ SB volumes Shorter lead times; strong competitive set.
Japan/HK Premium and gifting‑oriented markets Smaller volume; high service expectations.

Global context: Average wine export price rose sharply between 2020 and 2024 as global production fell to 225.8 mhl, the lowest level since 1961, reinforcing premiumisation trends that benefit strong-origin brands like Marlborough.

What Good Demand Forecasting Looks Like for a Marlborough Exporter

A Marlborough exporter’s planning cycle has two critical checkpoints: pre‑harvest commitment and post‑vintage rebalancing.

Pre‑harvest commitment (around February).
Before picking starts, you need a preliminary demand signal from each major market to decide how much of the upcoming vintage to allocate to UK retailers, US importers, Australian partners, and Asian distributors. These decisions, made on imperfect data, set the bounds for your commercial flexibility for the next 18–24 months.

Post‑vintage rebalancing (around June).
Once the vintage is in tank and yields are known, you can adjust. If volumes exceed expectations, you have extra allocation to offer; if yields are down, you must manage shortfalls. At this point, a good demand forecast shows where demand is tight, where inventory is heavy, and where you have reallocation options.

To support these checkpoints, good forecasting typically requires:

  • Market‑level depletion signals before and after harvest, so you can see whether your current vintage is running ahead or behind plan in each market.
  • Importer inventory positions (weeks of cover at current depletion rates) to avoid over‑committing to markets already long on stock.
  • Currency‑adjusted pricing assumptions, so volume projections reflect how price moves in GBP, USD, AUD, and JPY, not just NZD.

How Vintaflow Helps Marlborough Exporters

Vintaflow connects Marlborough exporters to their importer partners in each market, providing live depletion and inventory visibility and a unified demand dashboard that makes pre‑harvest allocation decisions more data‑driven.

Typical workflows include:

  • Importer inventory dashboard: Vintaflow shows current stock, weeks of cover, and projected run‑out dates for each importer and SKU, so you can see at a glance whether, for example, your UK importer is heading towards a shortage while Australia is overstocked.
  • Pre‑harvest allocation modelling: You input production estimates and Vintaflow distributes likely volume across markets based on current depletion velocity and stock positions, with manual overrides for relationship‑driven choices.
  • Currency‑aware demand alerts: The platform can flag when exchange‑rate moves push your effective retail price in a given market above a threshold where historical data suggests volume drops, allowing you and your importer to adjust pricing or promotional spend.
  • Vintage release calendar: Vintaflow tracks planned release dates for new vintages by market and aligns recommended shipment timing with those dates rather than defaulting to one global release.

Book a 15‑minute demo to see how Marlborough exporters make pre‑harvest allocation decisions with live depletion data from every market.

Practical Steps: Forecasting Marlborough Exports With Less Guesswork

Step 1: Get current inventory and depletion from your top importers.
Ask your UK, US, and Australian importers for a simple stock and depletion report for your current vintage. Even approximate figures on cases on hand and recent weekly movement are enough to begin refining your forecast.

Step 2: Compare depletion velocity across markets.
If your 2024 Sauvignon Blanc is depleting at 800 cases per month in the UK and 200 in Australia on similar allocations, UK d

How Vintaflow helps

AI Demand Forecasting

Vintaflow’s AI Demand Forecasting module connects Marlborough producers to importer depletion and inventory data in the UK, US, Australia, and Asia. The platform ingests monthly depletion and stock reports via CSV or API, reconciles them with your shipment history, and layers in currency assumptions so you can make pre‑harvest and mid‑vintage allocation decisions based on live demand signals, not just last year’s orders.

Book a conversation

Frequently Asked Questions

Does relying on Sauvignon Blanc for ~85% of exports make Marlborough especially risky to forecast?
The concentration on Sauvignon Blanc is commercially powerful — it gives Marlborough global category leadership — but it means export demand risk is highly focused on one style and harvest. The real forecasting risk arises from having to allocate that one style across several large markets with different calendars and currencies, which requires importer-level depletion data and scenario modelling rather than simple shipment roll‑forwards.
How important are US and UK demand signals for Marlborough exporters?
The US now accounts for roughly 36% of New Zealand Sauvignon Blanc export volume and the UK around 27%, with shipments into those markets up 14% and 19% respectively in the year to late 2025. Those two markets effectively anchor global demand for Marlborough, so getting timely depletion and inventory data from both is essential for accurate forecasting.
Can Vintaflow work if my importers only send spreadsheets?
Yes. Vintaflow is designed to start from CSV and Excel files — for example monthly depletion and stock reports from your UK, US, and Australian importers — and then add direct integrations over time. That makes it realistic for Marlborough producers whose partners are not yet ready for API or EDI connections.
How far ahead should Marlborough exporters forecast?
Most Marlborough producers need at least an 18–24‑month view for a given vintage, because Sauvignon Blanc from a March–April harvest will sell through across multiple markets over roughly that period. However, the most accurate window tends to be the next 3–6 months, which is why continuously refreshed depletion data is more valuable than a single, static 24‑month projection.
What is the minimum data I need to start demand forecasting properly?
At a minimum, you need monthly depletion and inventory data from your top three importers, broken down by SKU and, ideally, channel. That, combined with your shipment history and basic currency assumptions, is enough for a platform like Vintaflow to start producing materially better allocation recommendations than shipment-only forecasting.

Last updated: April 6, 2026