Data-driven dose: How consumer health brands use AI to better serve customers | Mint

The landscape of consumer health undergoes a quiet revolution. Explained by progress in artificial intelligence and predictive analysis, health and wellness brands embrace technology not only to sell products, but to improve decision-making, improve outcomes and deliver more intelligent health solutions. This shift is redefining everything from developing products without a counter (OTC), to the way consumer receives health information for the methods used by businesses to expect the needs in advance. As data becomes the new currency of care, the consumer health industry develops into a more intelligent, personalized and responsive ecosystem. The support of this evolution is data and AI specialists who help organizations unlock the full potential of their information assets. For example, Sigmoid enables global brands to utilize advanced analysis and data engineering to manage smarter, faster consumer health decisions. In anticipation of health needs with predictive analysis by identifying patterns in historical data, real-time signals and external inputs such as weather or public health warnings, companies can expect consumer needs to expect before it comes up. One example is demand forecast. Sigmoid works with a US consumer health firm that struggled with a manual process to predict stock levels for its OTC products, to develop a scalable ML-based solution that predicted the accuracy of demand. To maintain a high availability of the copper product, a US consumer health enterprise has developed an AI solution that analyzes the daily sales patterns at each retail store (SKU) level sales patterns. The system identifies locations that run the risk of being out of stock, which allows the company to prevent the shelf outside the stock situations and minimize the lost sales. Understanding how consumers respond to products and trends is of utmost importance for consumer health businesses for the development and brand strategies of the product. By analyzing data from consumer reviews, social media and surveys, AI-led analysis can expose emerging needs, preferences and sentiment shifts in real time. Sigmoid has helped a multinational consumer goods business to understand buyer’s sentiments using natural language processing (NLP) to analyze comments on social media. The solution helped identify the pain passion points of customers and helped with faster product innovation. The strategic benefit of modern data platforms behind every AI-powered progress in consumer health is a strong data closing that is adapted to the complexity of the industry. Trademarks need modern data platforms to unite fragmented and tailed sources, ranging from retail sales to clinical probation outputs and to support faster, smarter decisions. These platforms help improve operations and provide more connected consumer experiences. Sigmoid has helped a global Medech business to transform its commercial operations by implementing a united data platform with a data bait architecture, as part of its broader work in the life scientific industry. This modernization allowed teams to access marketing and sales data seamlessly over regions, automate more than 500 data pins and significantly reduce the time needed to take new data sets on board. As a result, the company achieved a 5% improvement in the conversion of funnel and stronger returns on marketing investments. These platforms extend further than operational efficiency. They empower teams to act on real -time insights, create reusable data products and scale continuous analysis. For businesses that run complicated product lines and multi -channel campaigns, it becomes a critical advantage to respond quickly and strategically to data. The rise of generative AI in consumer health One of the most groundbreaking progress comes from the rise of generative AI technology that can create new content, simulate human conversations and interpret complicated health data. Large language models (LLMS) will continue to continue the integration of generative AI capabilities into everyday business. In customer service, generative AI is deployed by advanced chatbots that provide assistance. This bots goes far beyond answering basic questions. It provides guidance on symptom management, safe use of health products, and even relevant items sold based on user history and needs. In addition to the interaction of consumers, generative AI also transforms internal processes. It is used to generate clinical summaries, regulatory documents, marketing content and training material. Sigmoid helped to help a leading medical technology company to stream the creation of the product marketing of the product marketing through a genai-powered solution. By developing an automatic generation platform with multi-channel compatibility and compliance controls, their marketing team achieved 95% faster content creation while saving $ 1.3 million annually. From mass market to personalized well -being for a long time, consumer health focused on a uniform approach, with products designed for the general public and success defined by how much space they occupied in stores or how well they sold. The approach is now developing rapidly. The management of this shift is a growing focus on embodiment driven by data and insight. Companies now build digital platforms that collect and interpret a variety of consumer signals, ranging from braai behavior and buying history to portable device data. These insights are used to produce personalized recommendations, targeted health content and even measuring product formulations. A US Consumer Health Enterprise has developed a mobile app that allows consumers to scan their skin using smartphone cameras and receive personal skincare advice. “AI and data are no longer optional-it is the backbone of modern consumer health strategy. We see that businesses from reactive models move to predictive, personalized involvement. In Sigmoid, we help unlock brands of complex data ecosystems, enabling them to improve decisions, , ”said Rahul Kumar Singh, better health outcome. Co-founder and chief analysis officer of Sigmoid. The future of consumer health is just as much formed by data and technology as by science. AI and analysis are central to how people experience care, to help brands understand needs and respond in more thoughtful ways. As AI continues to continue and organizations strengthen their data strategies, the most successful businesses will be those who turn information into a meaningful insight. The real opportunity lies in using data to improve lives by providing timely, relevant care and now linked to what people really need. Note for readers: This article is part of Mint’s Paid Consumer Connect initiative. Mint accepts no editorial involvement or responsibility for errors, omissions or accuracy of content. Do you want to story as displayed above? Click here! First published: 21 Apr 2025, 07:32 PM IST