Suppose you are a senior manager at Domino’s Pizza and your job is to manage operations in Mumbai. The company has come up with an attractive offer for new customers: each new customer who signs up can avail a discount of 75% on their first order with a maximum cap of ₹500. Everything seems to be going well in all the areas in Mumbai, except in Chembur. An unexpectedly large number of customers are signing up on a daily basis. What could be the reason for this?
In the upcoming video, Shreyas will continue solving the problem statement to determine if there are any fraud customers. Keep the above scenario in mind as you learn how to detect customer fraud in a company.
As you saw in this video, there were many customers who repeatedly tried to sign up to receive discounts on their orders. Recall the scenario that was described earlier in this segment and try to come up with a possible reason why a large number of customers in Chembur are signing up.
One of the reasons can be that the same customers who signed up earlier are using different mobile numbers to avail the 75% discount on their orders. You could prevent this by extracting the customer IDs that have the same email address, residential address and other such details. In such cases, there is a strong likelihood of fraud customers.
With this, we have come to the end of this session as well as this module. You were introduced to and solved three problem statements in this session. Let’s summarise the learnings from this session in the final segment.