BranchVoice
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E-commerce Review Classifier: Find the Problems in Marketplace Reviews

Flags the typical problems of online shopping reviews separately and helps you tell seller-side issues from product-side ones.

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Examples

Result

The result will appear here.

Results are AI estimates and may contain errors. Your text is not stored; the result for the same text is cached briefly.

Labels

The model scores the probability of each label below for every text. You can extend the label set for your needs or use it with labels made entirely for you.

Late delivery
The order shipped or arrived late.
Damaged parcel
A damaged parcel or poor packaging.
Wrong / missing item
A different product, colour or size, or a missing item.
Not as described
The product doesn't match its photos or description.
Product quality
Product quality, material and defects.
Size / fit
Size, fit and the size chart.
Return / refund
Returns, exchanges and refunds.
Seller communication
The seller's communication and answers.
Price / value
Price and value for money.

Where is it used?

Examples of how teams use this model in their daily work.

  • 01

    Marketplace rating management

    Find what drags your Trendyol, Hepsiburada or n11 rating down (shipping, packaging, wrong item) and fix it at the source.

  • 02

    Carrier performance

    Split late-delivery and damaged-parcel complaints by carrier and renegotiate contracts with data.

  • 03

    Product page improvement

    Use "not as described" and size/fit complaints to see which product pages need new photos or size charts.

  • 04

    Reducing returns

    Catch the reasons behind returns early in reviews and cut return costs.

Use this model in your own system

Change the labels, add new ones for your industry, or connect the model to your CRM, contact centre or e-commerce stack through our API. For API access and custom models, write to us at [email protected].

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Frequently asked questions

Is this tool free?
Yes. You can analyse a number of texts a day without signing in; heavy use gets a short cool-down.
Which languages does it support?
It understands multilingual text, Turkish and English first; results are shown in your interface language.
Is my text stored?
No. The text is only processed for the analysis; the result is cached briefly so repeated requests return quickly.
Can I analyse in bulk?
The BranchVoice platform collects your reviews from their sources automatically and classifies them with these models in bulk; request a demo to try it.

Other tools

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Want to analyse thousands of reviews automatically?

BranchVoice collects reviews from Google Maps, complaint sites, social media, app stores and marketplaces every day, classifies them with these models and turns them into alerts, reports and dashboards.

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