Users will thus be able to delete one or several threads, re-classify SMS and mark SMS as read/unread, just like Microsoft’s SMS organiser which carried out similar functions. The categorisation of the SMS messages happen locally when a user grants the app with permissions to read/send text messages from their phone.
Homegrown payment solutions firm Paytm has introduced the Spam-proof ‘SMS Inbox’ as part of an update to its Paytm Inbox. The new SMS Inbox will use machine learning algorithms to distinguish texts into transactional, personal and promotional content as a move to minimise clutter when receiving SMS messages.
Paytm says that the categorisation of the SMS messages happen locally when a user grants the app with permissions to read and send text messages from their phone. When activated, the app educates users about the various classifications of the SMS categories and their utility value.
Users will thus be able to delete one or several threads, re-classify SMS and mark SMS as read/unread, just like Microsoft’s SMS organiser which carried out similar functions. Machine learning on the SMS Inbox will further be able to learn user’s inputs and update accordingly to customise its detection patterns and enhance user experience while removing the need to have a dedicated standalone SMS spam protection app on the phone.
Commenting about their latest product, Paytm Senior VP, Deepak Abbot said “We have witnessed a huge discomfort by mobile phone users in SMS especially with the bulk of it being spam. As a technology company, we want to offer a convenient solution to this problem and are excited to announce the launch of the Spam-proof ‘SMS Inbox’ which is a part of Paytm Inbox. While filtering spam and categorizing SMS, it brings a lot of features that would add value to the lives of our users. It’s a small step in our endeavour to build technology-driven solutions and we will continue investing our efforts in this direction”.