Sprinklr, the world’s first Unified Front Office Platform for modern channels, today announced Product Insights – a new function within Sprinklr Research. Product Insights uses Sprinklr’s AI capabilities – called Sprinklr Intuition AI – to automatically categorize customer comments across social media, review sites (including Amazon, Walmart, and Best Buy), and owned data such as surveys, focus groups and emails on product feedback related to design, packaging, performance or features. Brands can now drive revenue, reduce costs, and lower risk by optimizing products based on real-time, actionable research.

Gathering customer feedback is key to long-term growth. Yet, according to McKinsey Research, “…many companies still spend the bulk of their research budget on traditional techniques (e.g., focus groups, interviews, and surveys), or treat insights as an afterthought, which leaves them with a limited and often incorrect view of what customers want. That is a recipe for obsolescence in today’s economy.”

With 11 industry-specific machine learning models in nine languages, Product Insights can be deployed globally and goes beyond Sprinklr’s standard listening capabilities by identifying product attributes and categorizing them with a high degree of accuracy.

How it works:

Listen: Gather real-time feedback on different product attributes such as color, packaging, performance, size or taste. Pull together data that includes product sentiment, images, vertical and audience insights, location information and global languages. Get alerted when there are unusual conversations about your product online.

Learn: Use Sprinklr Intuition to learn from listening insights, turning unstructured data from modern channels into structured data for a complete understanding of your customer. Rank your products against competitors based on various attributes to learn the strengths and weaknesses of all players in the market and see how your brand ranks with consumers.

Love: Make your insights actionable by creating customer-focused products and proactively resolving product issues before they occur.