E-commerce Use Cases/Customer ExperienceData Analyst

Are more than 30% of visual search queries returning results where the top-5 items have less than 60% visual similarity to the uploaded image?

Evaluate the quality of visual search results by measuring visual similarity scores to identify categories or product types where the algorithm needs improvement.

Metrics & KPIs

Average similarity scorelow-relevance query rateclick-through on top resultsrefinement search rate

Required Data

Visual search queriesresult setssimilarity scoresuser interaction with results

Data Sources

Search & PersonalizationAnalytics

Works with tools like

AlgoliaNostoDynamic YieldBloomreachKlevuGoogle AnalyticsMixpanelAmplitudeHeapHotjar

How Bruin answers this

Bruin

Bruin AI Data Analyst

Are more than 30% of visual search queries returning results where the top-5 items have less than 60% visual similarity to the uploaded image?

Bruin connects to your Search & Personalization, Analytics and runs the analysis automatically.

It tracks Average similarity score, low-relevance query rate, click-through on top results 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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