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The Technology Platform for Wine

Vinfra is the technology company built for wine.

We built the infrastructure fine wine businesses run on: pricing, inventory, AI and commerce. Better margins. Less manual work. Faster turnover.

PRODUCERVINTAGEAPPELLATIONPROVENANCEALLOCATIONFORMAT

Wine businesses lose margin to manual work, every single week.

  • €26,220

    estimated annual cost of manual data entry, per employee

  • 60%

    of a full-day catalog update can be automated away

  • 3.6%–4.1%

    of revenue saved by replacing manual work with connected systems

This is a tooling problem, not a staffing problem. Vinfra replaces the manual work, so your people stay and the busywork doesn't.

The platform

Six systems. One source of truth.

Use one product or the whole platform. Everything is built to work together.

01

Pricing

Know what a bottle should cost, right now.

Explore

02

AI

Wine data, understood correctly, at scale.

Explore

03

Commerce

Sell the way wine actually sells.

Explore

04

Digital Cellar

Every bottle, tracked and sellable.

Explore

05

Connect

One system instead of five.

Explore

06

Custom Development

Bespoke modules and integrations built on the Vinfra platform for workflows that are specific to your business.

Explore
Pricing — Recommendation
Domaine Exemple 2016

Current market price

€1,180

12-month range €890 — €1,240

Aug 25Aug 26

Recommended price

Sample data

€1,340

+13.6% vs. current list

ConfidenceHigh · 92%
Margin€430 · 32.1%

Competitor prices

7 comparables · updated 14m ago

Merchant A1,265
Merchant B1,352
Marketplace C1,470
Merchant D1,198
Your price€1,340

Intelligence

Wine pricing intelligence.

Pricing fine wine is usually a manual act of judgement performed under time pressure. Pricing watches the market continuously and reasons in wine terms.

  • Market & competitor monitoring
  • Vintage-aware recommendations
  • Margin & stock-age optimization
  • Price alerts
See Pricing in detail

Where wine technology is actually headed

The wine industry's next advantage isn't more staff. It's AI that actually understands wine.

Generic AI treats a bottle like any other product. Vinfra's AI is trained on wine specifically. It recognizes producer, vintage and appellation the way a real buyer does, then generates structured data, tasting notes, translations and imagery that are actually correct. Every field is grounded and checked, not guessed. That's what lets a wine business scale content and catalog work without scaling headcount.

AI — Content generation
Illustrative workflow

One wine record · six outputs

Sample data

Wine Data

Canonical record

Vinfra AI

Wine-trained

Product Description

Commerce

SEO Metadata

Search

Tasting Note

Editorial

Translation

6 locales

Social Content

Campaigns

Image

Bottle shot

Fields grounded

18/18

Human review

1 flagged

Locales

6

Commerce — Release
Allocation run

Domaine Exemple

Gevrey-Chambertin · Burgundy

Sample data
202175cl€420Allocated
202075cl€4656 left
2019150cl€1,080In bond

Release status

Offers sent1,240
Confirmed812
Tier A fill rate96%
Window closes36h

Commerce

Digital commerce infrastructure built around how wine is sold.

Standard e-commerce platforms treat a wine as a product with variants. Commerce models the wine, its vintages and its formats as a related family, with availability drawn from real bottle-level stock.

  • Vintage-aware catalogue and search
  • Allocations and release management
  • Subscriptions and en primeur
  • Connected checkout, tax and fulfilment
See Commerce in detail

Infrastructure

Buy, ship or store.

Digital Cellar tracks every bottle at the infrastructure level and gives your storefront two ways to sell it: ship it now, or store it with us. Every buyer gets a portal where their own wine, wherever it lives, is one login away.

Digital Cellar — Inventory
Bottle records

Bottles tracked

48,912

In bond

71.4%

Cellar value

€6.4M

ProducerVintageAppellationFormatLocationAvailabilityValue
Domaine Exemple2016Pauillac6×75LON · B4-17Available€4,320
Clos Spécimen2019Puligny-Montrachet1×75LUX · A2-03Reserved€760
Tenuta Modello2015Bolgheri3×150LON · C1-44Available€2,910
Château Prototype2010Châteauneuf1×75LUX · A1-11In transit€1,180
Weingut Beispiel2018Mosel12×75HAM · D3-08Available€1,640

Detail

Domaine Exemple 2016

Pauillac · 6×75cl · LON B4-17

Provenance

Purchased

12 Mar 2017

Stored

19 Mar 2017

Verified

04 Feb 2026

Storefront · Checkout

Domaine Exemple 2016

Pauillac · 6×75cl · €4,320

Sample data

Shipping address

A. Sample
12 Rue Exemple, 75008 Paris, FR

Delivery estimate

3 – 5 working days

Duty paid · temperature-controlled carrier

Customer portal

My Wines

18 bottles · €11,930

Domaine Exemple

2016

LON · Bonded B4-17

Drink 2028 – 2042€4,320

Clos Spécimen

2019

LUX · Bonded A2-03

Drink 2026 – 2034€760

Tenuta Modello

2015

LON · Bonded C1-44

Drink 2025 – 2038€2,910

Weingut Beispiel

2018

HAM · Bonded D3-08

Drink 2027 – 2040€1,640

Château Prototype

2010

Delivered · Home cellar

Drink Drink now€1,180
Connect — Integration flow
Illustrative architecture

One canonical wine record across every system

Sample data

ERP

Source

Data Layer

Canonical

AI

Enrichment

CRM

Customers

Webshop

Storefront

Warehouse

Fulfilment

Records synced

182,406

Conflicts open

3

Last sync

42s ago

Systems

Turn disconnected systems into one.

The stock number in the warehouse system, the one in the webshop and the one in the sales team's spreadsheet disagree. Connect starts with an audit of the systems and data you already have, then builds a mapping and integration layer between them.

  • Systems audit and data mapping
  • Integration layer between existing tools
  • Workflow automation
  • One reliable source of truth
See Connect in detail
Connect — Integration flow
Illustrative architecture

One canonical wine record across every system

Sample data

ERP

Source

Data Layer

Canonical

AI

Enrichment

CRM

Customers

Webshop

Storefront

Warehouse

Fulfilment

Records synced

182,406

Conflicts open

3

Last sync

42s ago

Custom Development

When the platform needs to bend to you.

Every serious wine business has at least one process nobody sells software for: an allocation ritual, a broker settlement flow, a bonded stock reconciliation, a family of spreadsheets that quietly runs the company. We build the missing piece directly.

  • Bespoke tools on the Vinfra data model
  • Custom integrations and migrations
  • Internal portals and dashboards
  • Built by a team that knows wine
See Custom Development in detail

What this actually looks like

Modeled on a mid-size wine merchant. Applied across three segments.

€12M revenue, 8,000 SKU catalog, 2.5 staff on manual catalog and pricing work. Every assumption is disclosed. This is a model, not a customer testimonial.

Total

€428,000 to €489,000

estimated annual value, about 3.6% to 4.1% of revenue

Illustrative modelMerchant

€428,000 – €489,000

estimated annual value, about 4% of revenue

Mid-size wine merchant.

Pricing and Digital Cellar

See the full assumptions
Illustrative modelLogistics

€35,500 – €71,000

estimated annual value, from 30% to 60% fewer routine client inquiries

Bonded warehouse operator.

Connect and Digital Cellar

See the full assumptions
Illustrative modelMarketplace

€105,280

estimated annual value, from a 35% reduction in catalog maintenance cost

Multi-seller wine marketplace.

AI and Connect

See the full assumptions

These are modeled scenarios with disclosed assumptions, built from industry research and Vinesia's own operational and customer data.

Insights

From the Journal.

AI4 min read

Why does AI struggle with wine data specifically, compared to other product categories?

A wine is producer, vintage, appellation, classification, format and provenance combined. Most AI systems assume a far flatter product model.

Read
AI4 min read

How is AI for wine catalogs and pricing different from AI in winemaking or the vineyard?

Production AI reads sensor data in the cellar and vineyard. Commercial AI works on catalog, pricing and inventory data. Different problems, different tools.

Read
AI4 min read

What should a wine business look for in an AI tool before buying one?

Four checks: structured data grounding, uncertainty flagging, a built in human review step, and real understanding of appellation, vintage and provenance.

Read

Working with Vinfra isn't buying software. It's investing in where the wine industry is going.

The businesses automating pricing, catalog and commerce work now aren't just saving hours today. They're building the operating layer they'll still be running on in five years, as more of the industry moves this direction. Vinfra is built to be that layer from day one.

Let's build what's next for your wine business.

Talk to our team about what Vinfra could run for you.