How can I analyze the pattern of merchants account transactions in a bank and identify the merchants that are becoming inactive?
Which methods should I use to solve this problem?
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If you don't have a lot of data, I suggest you using time series models, such as ARMA, ARIMA, etc.
If you have enough data, I suggest you use LSTMs.
In both cases, I would aggregate data to some periods, say amount of transactions for month, and use them (and data from all previous months) to predict transactions in the next month.