Our solution consolidates customer engagements registered with your brand (be it in the form of CRM, online reviews, emails, forms). It then uses a self-learning AI to identify what is the context & sentiment of the customer, what features are liked/disliked, how the competition is performing. Our algorithms extract many unique topics, ranging from high-level ones (like user satisfaction and price) to granular topics (such as “Softness”, ”Smell”, “Sharpness” etc.).

Instead of limiting ourselves to only 8-15 generic topics, we analyze 40-80 topics that are highly specific to each business or product we work with. Within just a few days, we can generate local dictionaries and models with a 90% accuracy. The result is an easy to consume view of customer sentiment across all products/SKUs. Read the brochure to know more.