The relevance of data and its effective presentation is gaining priority across the different business niches. As important as adopting the right tools to analyse data is important, it is equally significant to present the insights effectively. With the help of data visualization tools, it becomes easier to represent even complex information in a visually…
Menu Re-Engineering Menu re-engineering has become a crucial strategy for restaurants in the United States to stay relevant, attract customers, and maximize profits. Menu reengineering is a tactical and deliberate process that involves redesigning and optimizing a restaurant’s menu to elevate the overall dining experience. With the advancements in artificial intelligence (AI) and machine learning…
Menus with AI Your guests are looking for differentiated experiences when interacting with your brand including culinary experiences. Chefs across the world are constantly reengineering timeless recipes, giving new twists and taste enhancements to classic foods. How can the hospitality industry harness the power of generative AI to reengineer their Food and Beverage (F&B) menus…
Market Mix Modeling in generative AI The consumer packaging goods industry is highly competitive. Companies need to switch to advanced technologies to stay ahead of the competition. It helps in optimizing resource allocation that drives sales. Technologies like Artificial Intelligence continue to make an impact across different industrial niches. And the consumer packaging industry has…
Generative AI Use Cases: The Consumer Products, Consumer Packaged Goods (CPG), and Fast-Moving Consumer Goods (FMCG) industries are constantly seeking innovative ways to enhance product development, marketing strategies, and customer experiences. In recent years, generative artificial intelligence (AI) has emerged as a game-changing technology, offering tremendous potential for transforming these industries. This blog explores the…
Introduction In the competitive landscape of consumer banking, customer attrition has always been a significant challenge. Losing valuable customers not only impacts revenue but also hinders long-term growth and customer loyalty. However, with the rise of generative artificial intelligence (AI), consumer banks now have a powerful tool at their disposal to predict and solve customer…
Introduction to Collection Analytics In a banking and financial institution, Collection analytics helps in understanding customer preferences and behaviour patterns in order to help them reduce delinquencies and mitigate losses allowing businesses to maximize their accounts receivable recovery. It gives valuable information about the customer which can help develop varied collection strategies, to primarily improve…
The Artificial Intelligence has been actively gaining prominence over the last five years, with many of the companies actively investing in exploring the potential of technology in the industry. This emerging technology of AI is helping FMCG companies with supply chain management through the logistics, predictive analytics, and the transparency. Changes in consumer demands towards…
In recent years Non Performing Assets have emerged as a major headache for banking organizations. According to a recent report, bad loans have touched a new high of 9.8 lakh crores. If the economic cycle doesn’t pick up fast enough then the amount of bad loans can increase exponentially in near future. Although large corporate…
Analytics for Consumer Packaged Goods In today’s competitive era Consumer Packaged Goods (CPG) companies must constantly evolve and rethink. This has been influenced by a number of factors like- Demand for personalized customer experience and intelligent engagement across different channels An optimized supply chain and logistics system aiming at cost reduction and faster delivery times…