With a large consumer base hooked on to the numerous social media channels, businesses must adopt a brand reputation strategy to safeguard against potential negative feedbacks floating around undiscovered.
mScanIt, a digital platform for e-Commerce analytics powered by mFilterIt, today announced the launch of its state-of-the-art AI-powered Online Reputation Management (ORM) solution suite to assist brands in identifying, highlighting, and segregating unidentified feedbacks/review patterns across prominent platforms through real-time notifications and dealing with them instantly.
While manual brand reputation management frequently overlook large number of cases circulating across platforms, mScanIts AI-based ORM solution recognises the growing importance of brand reputation and employs AI computer vision and natural language processing technology to recognise and analyse such evaluations, and capture opinions/feedback and therefore gives one an edge to stay one step ahead of the competition.
Furthermore, when there are no hashtags or brand mentions in a review and simply images, computer vision assists in linking such reviews to relevant brands.
Also, natural language processing helps in recording competitor analysis, brand dislikes, sentiment intensity, and such product specific feedback data.
Amit Relan, Co-founder and Director, mFilterIt:”In this age when online reputations are priority for almost every brand, it is important that an immediate action is taken in case any negative feedback is found online.
One wrong review and the brand reputation is distorted.In addition to scanning, the real-time alerts help brands make instantaneous decisions, provide actionable insights and manage brand reputation across platforms.
Moreover, brands gain insights into the buyer personas and can curate accurate marketing strategies for boosting the baseline.
At all times, firms must project a positive image. Having a positive internet reputation is a terrific way to maintain a relationship with current and potential customers.