Enabled the Client to Explore Filtered Feedback and Enabled Strategic Decisions Based on Customer Sentiments and Holistic Review

The Need

The client wanted to build an innovative application to know customers' views on a launched product, that will allow them to identify strengths and weaknesses, hence enabling targeted improvements resonating with consumer preferences.
Insights from the customers’ feedback will enable to address concerns promptly and enhances brand reputation. It is also crucial for refining future iterations, improving customer satisfaction, and ensuring market relevance. Of company’s product.

Impacts Delivered

Build a product insight analysis application that generated insightful reports with product review distributions, standout features, product performance scores, most appreciated product, least liked attributes, and so on.
Enabled the client to explore filtered feedback, enabling strategic decisions based on customer sentiments and holistic review.

Our Solution

Seamless enrollment of products and automatic identification relevant attributes based on selected category.
The Client can suggest attributes or define new sets of attributes.
Client can select feedback sources from e-commerce platforms to public forums to ensure comprehensive insights.
Products can be added either manually or uploaded in bulks via document integration.
The review analysis engine gathers all reviews from diverse platforms and process the data through different levels ensuring its accuracy and reliability.
Data cleansing and categorization of data is performed using advanced AI models.
The model extracts nuanced customer sentiments on all aspects as defined by Clients.
Once processed, clients will receive insightful reports via dynamic charts developed with Superset, showcasing charts like product review distributions, standout features, product performance scores, Most appreciated product, least liked attributes, and so on.