Ecommerce ops · Production

Nosto Product Intelligence: real-time catalog analytics and AI-driven commerce optimization

The problem

Ecommerce merchants struggle to identify slow-moving products, detect catalog data errors, and make data-driven merchandising decisions without time-consuming manual investigation of product performance.

Workflow diagram · grounded in source
1
Access catalog performance data
trigger
“Access all the performance data you need on your products & catalog, and leverage 30+ filters to create refined product lists and export results to a downloadable report.”
2
Distinguish top vs. slow performers
ai_action
“Easily distinguish top-performing products from slow movers and take strategic action such as featuring trending items within campaigns, applying discounts to slow‑movers, and optimizing stock levels for fast‑selling products.”
3
Detect catalog data errors
validation
“Spot abnormalities within product data, eliminating the need for time‑consuming inquiries. Proactively detect issues such as missing images or broken links that could be impacting product performance.”
4
Surface product relationships
ai_action
“Explore the relationships between your products, such as items that are visually similar, often viewed, or purchased together, and use this insight to inform your marketing and merchandising strategies.”
5
AI agent network acts autonomously
ai_action
“Meet Huginn: your AI agent for commerce experiences. It coordinates a network of purpose-built AI agents that work autonomously to expand your team's capacity, boost efficiency, and elevate customer experiences.”
Reported outcome

Nosto customers report a 100% increase in category page conversions, a 70% increase in conversion rate through personalization, and a 25% increase in conversion rate for search users.

Reported metrics
Category page conversions100%
Conversion rate (personalization)70%
Conversion rate (search users)25%
Reported stack
NostoCatalog ExplorerData ExtractorHuginn
Source
https://www.nosto.com/commerce-experience-platform/business-intelligence/product-intelligence
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Nosto customers report a 100% increase in category page conversions, a 70% increase in conversion rate through personalization, and a 25% increase in conversion rate for search users.

What tools did this team use?

Nosto, Catalog Explorer, Data Extractor, Huginn.

What results were reported?

Category page conversions: 100%; Conversion rate (personalization): 70%; Conversion rate (search users): 25% (source-reported, not independently verified).

How is this ecommerce ops AI workflow structured?

Access catalog performance data → Distinguish top vs. slow performers → Detect catalog data errors → Surface product relationships → AI agent network acts autonomously.

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