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The best way is still to discourage cancellations. Half of the cancellation fee is paid by the first buyer who cancels, and more than half is paid by the person who receives the discount. In the end, Zomato is the one who profits rather than loses money. Yes, you can argue that the cancellation fee is not 50%, and the discounted price for cancelled orders is not 50%, but eventually things will come down to this or, at the very least, zomato will incur some loss at the cancellation part by only taking around 30% as a cancellation fee, but this will result in a small 20% profit for the end user, making it insignificant for the same user to pursue fraud but will encourage someone new to grab a big 50-60% discounted order. Also thing to discourage is the same IP address. and also prohibit cancellation after reaching the 500 m radius of the delivery point.

limit the canceled order for example if a person ordered food and canceled and so they can get canceled food notification within 3km but this feature has they only get limited offers like only 5 canceled order foods

To solve this issue, I would suggest that users obtaining canceled orders should be verified through their mobile number. Additionally, a user should not be allowed to benefit from canceled orders more than once a week, ensuring fair access for other customers. Zomato can also use AI to match the location of the customer canceling the order and the one purchasing the canceled order to identify potential misuse. Creating detailed customer profiling would further help—tracking how often a user cancels orders or benefits from canceled ones. To discourage repeated misuse, Zomato could disable the Cash on Delivery option for customers who cancel more than twice in a week or five times within six months. These measures would help curb abuse while keeping the feature functional.

Suniyo 🤣🤣🤣

would introduce a time buffer between the cancellation and the ability to reorder that same item at a discount. For example, if an order is canceled, it cannot be reordered from the same restaurant for at least 30 minutes

Implement loyalty-based mechanisms where customers who cancel orders frequently are penalized with higher delivery charges or ineligibility for certain discounts

To prevent misuse, I would implement stricter geo-fencing and user account validation. If a customer cancels an order, the system should only offer the canceled food to nearby customers who are within the immediate vicinity

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