TWIN bot processes 300 requests per day for one of the largest banks in Madagascar

TWIN case

Challenge

AccessBank (Madagascar) is one of the largest banks in Madagascar. The bank has many clients on the island itself, while some clients live and work on the African continent.

Problem

The bank's field collection staff had to spend a lot of time manually filling out forms when visiting the addresses of debtors.

The bank had significant costs to administer this process.

Solution

In order to optimize data processing, the bank asked to create a data automation tool that would facilitate the work of the bank's collection department.

For this purpose, AccessBank contacted TWIN. It was decided to create a chatbot in Telegram that could be used by the bank's employees.

Outcome

It works like this: a bot sends all relevant information about the debtor from the bank database, including personal data and loan data.

After that, the bot instructs the employee on further actions to be taken against the debtor. Once the debtor is contacted, the bank employee uploads information about the last call.

The bot processes more than 300 requests per day and speaks French and Malagasy

Кейс AccessBank 912px.png
Case
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