Databrain

CASE STUDY · WINE CURATION

Good taste,
in under a minute.

We built an AI-assisted curation and order system for Bistro Wines. It weighs up each customer’s taste, budget, previous orders and the stock on the shelf, then suggests a selection for the Bistro Wines team to check.

Five bottles of wine standing on a stone table
Bistro Wines builds monthly selections around each customer.
Client
Bistro Wines
Industry
Wine subscription
Focus
AI curation, stock and orders
Year
2026

THE BRIEF

Every bottle,
checked by hand.

Bistro Wines builds monthly wine selections around each customer. Getting them right meant bringing together preferences, budgets, previous orders and live stock.

The team was checking every bottle by hand. The goal was to give their expertise a faster, more reliable way to work.

Ten customer orders, each checked by hand against taste, budget, order history, stock and exclusionsTasteBudgetHistoryStockRules01020304050607080910
Ten customers, five things to weigh up for every bottle. An illustration of the manual work, not real order data.

WHAT WE BUILT

The AI reads the wine.
The rules protect the order.

AI helps analyse label information and write useful customer notes. The system keeps stock, pricing, exclusions and the team’s review in control.

Taste profile, budget, order history and live stock feed a curation engine. A wine expert reviews its suggestions before the selection is ready.Taste profileBudgetOrder historyLive stock Curationengine Expert reviews Selection readyto approve and send
How a selection comes together. Illustration, not live customer data.
  1. 01

    Bring it together

    Customer preferences, budgets, exclusions and order history are pulled into one profile the team can review.

  2. 02

    Suggest the bottles

    AI reads label information and weighs up taste, stock and margins before suggesting wines.

  3. 03

    Keep the expert in charge

    The team reviews the selection, adjusts the edge cases and swaps or adds bottles.

  4. 04

    Ready to send

    Final selections, picking notes and customer-ready messages are prepared in under a minute.

THE RESULT

Five hours became
under a minute.

A batch that used to take around five hours for ten clients now runs in under one minute. The team can spend less time building orders by hand and more time reviewing and approving recommendations.

99.7%faster for a ten-client batch

Preparing selections for ten clients took around five hours by hand. With the system it takes under one minute. BeforeAbout 5 hours NowUnder 1 minute10 ready 01h2h3h4h5h
Time to prepare selections for a batch of ten clients.

WHAT CHANGED

More capacity.
Same expert judgement.

99.7% faster

For a batch of ten clients, around five hours of curation now takes under one minute.

AI with human control

The system suggests, explains and drafts. The team swaps bottles, adds extras and approves the final selection.

Room to grow

A stronger foundation for more customers, restaurant work and supplier conversations.

What would you like
more time for?