Research-driven guided selling
The guide asks simple, relatable questions based on researched customer language, so shoppers can describe what they need instead of decoding attributes.
Outfindo
ClaimOutfindo provides guided selling and product data enrichment software for e-commerce sites, helping shoppers find the right products with research-based questions and cleaner catalog data.
What Outfindo does
Outfindo is a product selection guide and product data enrichment platform for e-commerce sites. Its guided selling product is designed to help shoppers choose items by answering simple questions, while the platform also enriches catalog data so recommendations and product pages can be more structured and easier to use.
The company positions the product as a layer between consumer research, product data, and shopping interfaces. Its site says it harvests customer voice from reviews, blogs, and forums, then uses that research to build guidance flows, enrich product data, and present clearer product information for both shoppers and AI-driven discovery surfaces.
Core capabilities
PLP-based shopping guidance
The product can be embedded on product listing pages and is designed to guide customers from first click to purchase with a conversational flow.
Transparent recommendations
Outfindo says the guide recommends products based on fit and explains the reasoning behind each suggestion, rather than relying on opaque prompts or filters alone.
Feed-based setup and pairing
The source describes a setup flow where merchants upload a product feed and Outfindo aligns products with the guidance logic and enhances product data where needed.
Customizable presentation
The tool can be customized to match the site look and feel, including white-label styling and customizable guide design on higher plans.
Multi-language support
The guide can localize question flows and recommendations for different store languages.
Common use cases
Guided product selection on category pages
Merchants can place the Product Guide on PLPs to help visitors narrow down choices without forcing them to understand a long list of filters first.
Catalog enrichment for cleaner product data
Teams with incomplete or inconsistent catalog data can use the enrichment product to standardize and expand product information from source material.
Multi-language storefronts
Stores serving multiple markets can localize the question flow and recommendations to match each storefront language.
Custom-branded shopping guidance
Merchants who want a more branded buying experience can use white-label and customizable guide design options to match the site’s visual style.
AI-ready product discovery
Companies exploring AI-assisted shopping can use the data enrichment layer to make products easier for both shoppers and AI agents to interpret.
Pros and Cons
Pros
- Combines guided selling and product data enrichment in one platform.
- Uses customer research to shape questions and recommendations.
- Supports feed-based setup instead of manual flow building.
- Offers white-label and customizable presentation options on higher plans.
- Provides localized question flows for multi-language stores.
Cons
- The public sources do not show concrete integration partners or a full integrations list.
- Some implementation details remain high-level, so buyers still need to confirm fit for their stack and catalog structure directly with the company.
FAQ
Do I need to write my own question flow?
No. The source says the guidance flow is ready-made and plug-and-play, with questions crafted from customer research rather than built from scratch by the merchant.
Where is the Product Guide typically placed?
The guide is designed to be added on a product listing page. The source also says implementation can be done with a single line of code and that the tool can be embedded as an iframe or with a custom server-side solution.
Does the Product Guide support multiple languages?
Yes. The source says the guide is localized to match the store language and can adapt to a multi-language store.
Is there a free trial?
The pricing page lists both a free trial and paid plans. The Product Guide page mentions a 14-day free trial, while the main pricing page also references a 30-day free trial in one section, so the exact trial length should be confirmed directly with the company.
How does the guide choose products?
The source says the guide uses customer research and product data to recommend products based on fit, not only on filters. It also states that the logic is transparent and that recommendations show the reasoning behind them.
Quick Facts
- Category
- Guided selling and product data enrichment
- Primary use
- Helping shoppers select products on e-commerce sites
- Company site
- outfindo.com
- Pricing model
- Paid plans with free trial options
- Setup input
- Product feed
- Placement
- Product listing pages and product pages
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