E-commerce Use Cases/Product & CatalogData Analyst

What percentage of our catalog has insufficient visual search indexing, and do unindexed products account for more than 15% of revenue lost to zero-result visual searches?

Audit visual search catalog coverage to identify product segments that need image processing and indexing to capture visual search demand.

Metrics & KPIs

Catalog coverage %zero-result raterevenue from unindexed gapsindexing backlog size

Required Data

Visual search index coveragezero-result query logsproduct catalog datarevenue attribution

Data Sources

Search & PersonalizationE-commerce PlatformData Warehouse

Works with tools like

AlgoliaNostoDynamic YieldBloomreachKlevuShopifyWooCommerceMagentoBigCommerceSalesforce Commerce CloudSnowflakeBigQueryRedshiftDatabricksClickHouse

How Bruin answers this

Bruin

Bruin AI Data Analyst

What percentage of our catalog has insufficient visual search indexing, and do unindexed products account for more than 15% of revenue lost to zero-result visual searches?

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

It tracks Catalog coverage %, zero-result rate, revenue from unindexed gaps 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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