mScanIt Announces an AI-Powered ORM Solution for Tracking Unidentified Reviews

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. Our new AI-based instantaneous tracking solutions help save manpower, time and provide an ultimate support to maintain the ever-changing perception of the brand among the customers. We firmly believe that our new value additions will immensely benefit our customers and help in delivering excellent proposition."

Growingly, customer feedback is becoming vital for establishing the brand reputation and it's becoming critical to keep an active track and take appropriate action, especially when a firm introduces new products. Customers are highly aware of the significance of reviews, and they may submit feedback on social media platforms such as YouTube, LinkedIn, and Twitter, as well as review sites, personal blogs, and other websites, which can radically impact public impression of the firm. 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.