«Dodo Pizza» is a pizzeria chain, one of the largest catering chains in Russia.
Automate the processing of reviews that customers leave in the «Dodo Pizza» mobile application.
Robot-classifier that analyzes the texts of reviews, determines their sentiment, subject matter and, if necessary, sends them to operators.
Recognize over 180 types of complaints
Identify products that were mentioned in the comment
What the classifier can do
Scheme of work
User leaves a review in the application «Dodo Pizza»
Classifier analyzes the text and adds tags: complaint category, product name
The tagged text is sent to the ticket system «Dodo»
Operators and other «Dodo» employees are processing reviews
One of the users was brought a crumpled pizza. He wrote: «What is this ???» and attached a photo to the review. The classifier has marked the review as «Crumpled pizza», although it cannot analyze images.
Examine the data: «Dodo» reference book and testimonials
Train service based on the reviews left in the «Dodo» application
Test the classifier, debug
Collect new reviews, train the service
Launch the classifier into full-fledged work
Emotions from the project
«The classifier solves a real, acute problem: it 'reads' thousands of user reviews, identifies topics, separates important from unimportant - in general, it does work that Dodo operators cannot physically cope with».
«Four Seasons» is good and hot, but the new chipotle pizza arrived with little to no sauce, underwhelming and cold, like Jaaken Hgar.
Work of the classifier is based on the «Dodo» complaint guide.
Each time the reference book changes, it is necessary to collect and mark up data in order to train the classifier.
Company has significantly reworked it, combined or removed some of the categories.