How Swiggy designed and scaled its chatbot

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In the video, I discussed how chatbots are essential for food delivery startups like Swiggy to efficiently handle customer complaints. Exploring Swiggy's chatbot design, I emphasized the importance of decision trees in powering chatbots without the need for complex natural language processing. Additionally, I highlighted the key components of Swiggy's chatbot architecture, including webviews, fraud detection, and business continuity plans. Their tech stack comprises Java, Node.js, Ruby on Rails, Kafka, MySQL, Postgres, Redis, and React for the front end. This approach ensures seamless customer support and operational efficiency.
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[@addykulkarni]

Woah, looks like an amazing company to work for!

[@shantanutripathi]

Even Amazon also uses decision tree instead of fancy NLP logic.

[@AsliEngineering]

Simple systems scale.

[@yakshitjain5374]

Nice Video! Please make sure to mention the study material link in the description as well. ( In this case, the medium blog which you are referring.)

[@AsliEngineering]

Those links will be available from the next video onwards.

[@yakshitjain5374]

@@AsliEngineering Thanks!

[@0saptarshi]

Do they maintain a user profile rating also for fake issues?

[@rohitpawar6021]

hii can you make about video of multi-tenant architecture or you created i have a task for multi-instance for saas

[@rohitpawar6021]

are you discussed about that in course if yes then tell me

[@rjphotos2393]

Probably ur first video which didn't seem that useful, in terms of engg