BranchVoice
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Customer Feedback Classifier: Split Retail Reviews into Topics

Flags each topic raised in retail store reviews separately; a review can mention several. The overall sentiment is shown alongside.

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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.

Product quality
Product quality, durability and defects.
Price / value
Prices, discounts and value for money.
Staff and service
Staff helpfulness, knowledge and service quality.
Waiting time
Queues, waiting and slow service.
Cleanliness
Cleanliness and hygiene of the store and products.
Store atmosphere
Atmosphere, layout, music, temperature and crowding.
Stock / size availability
Products, sizes or colours being out of stock.
Payment and checkout
Checkout, payment, card terminals and receipts.
Returns and exchanges
Returns, exchanges and refunds.
Delivery
Delivery, shipping and click-and-collect.

Where is it used?

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

  • 01

    In-store experience analysis

    Split store reviews into staff, waiting, cleanliness and stock topics and see what goes wrong in which branch.

  • 02

    Open-ended survey answers

    Turn free-text answers from NPS and satisfaction surveys into a topic breakdown without reading them one by one.

  • 03

    Operations prioritisation

    Track the most complained-about topic and its trend over time to spend your improvement budget where it matters.

  • 04

    Call-centre notes

    Classify agent notes and chat logs with the same labels to build a channel-independent voice-of-customer report.

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.

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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.

Request a demo