E-commerce Use Cases/MerchandisingMerchandiser

In mix-and-match bundles, which 10 components are selected more than 3x the average rate, and which 10 are never selected?

Analyze component selection patterns in customizable bundles to optimize available options and remove unpopular items.

Metrics & KPIs

Selection rate per componenttop/bottom 10 itemsselection concentration ratio

Required Data

Bundle component selection logsavailable optionsselection frequency

Data Sources

E-commerce PlatformData Warehouse

Works with tools like

ShopifyWooCommerceMagentoBigCommerceSalesforce Commerce CloudSnowflakeBigQueryRedshiftDatabricksClickHouse

How Bruin answers this

Bruin

Bruin AI Data Analyst

In mix-and-match bundles, which 10 components are selected more than 3x the average rate, and which 10 are never selected?

Bruin connects to your E-commerce Platform, Data Warehouse and runs the analysis automatically.

It tracks Selection rate per component, top/bottom 10 items, selection concentration ratio and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.

Bruin for e-commerce

Use cases across every team in your e-commerce business, from conversion funnels to inventory, marketing to customer lifetime value. One AI that speaks your data.

C-Level/ExecutiveCategory ManagerCustomer Experience ManagerData AnalystDigital Marketing SpecialistE-commerce ManagerFinance ManagerGrowth ManagerMarketing ManagerMerchandiserOperations ManagerSupply Chain Manager

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