Platform: Enolytics DTC

Summary:

What it is: Suggested Expected Bottles shows the predicted number of bottles a customer would likely purchase if they follow through on a specific recommendation, based on their individual buying history and the type of recommendation.

How to use it:
• Revenue forecasting: Calculate potential revenue by multiplying expected bottles by wine price to estimate the financial impact if customers convert on recommendations
• Inventory planning: Use these predictions to gauge demand for specific wines when planning recommendation campaigns or allocating limited inventory

Tip: The prediction varies by recommendation type - vintage continuations use their historical average bottles per vintage, while repurchase reminders reflect their typical order size for that specific wine.

Note: Parts of this article were generated with AI and may not be perfect. If something looks off or could be better, click the 😞 below — it opens a quick chat so you can let us know.

Quick Stats:

The predicted number of bottles this customer would purchase if they convert on this recommendation, based on their historical buying patterns. For vintage continuation recommendations, this reflects their average bottles per vintage purchase; for repurchase reminders, it's their typical order size for this specific wine; for other recommendation types, a conservative default of 2 bottles is used. This quantity is used to calculate both maximum potential revenue and probability-weighted expected revenue.

Suggested Next Purchase

Type: int

Format: #,##0