Explaining Every Rupee: How We Built Reliable LLM Support Bots for Delivery Partners

📰 Medium · Data Science

Learn how Swiggy built reliable LLM support bots to explain payouts to delivery partners, improving transparency and trust

intermediate Published 29 May 2026
Action Steps
  1. Build an LLM model using a suitable framework
  2. Train the model on a dataset of delivery partner payouts
  3. Configure the model to generate explanations for payouts
  4. Test the model with various payout scenarios
  5. Deploy the model as a support bot for delivery partners
Who Needs to Know This

The development team, particularly those working on AI and ML, can benefit from this knowledge to improve their own LLM support bots, while the operations team can use this to enhance delivery partner experience

Key Insight

💡 Using LLMs to explain payouts can significantly improve delivery partner experience and trust

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🤖 Swiggy's LLM support bots explain payouts to delivery partners, enhancing transparency & trust! 💡

Key Takeaways

Learn how Swiggy built reliable LLM support bots to explain payouts to delivery partners, improving transparency and trust

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