Many of my colleagues have recently posted articles on Consumption Sensing, a forecasting approach that focuses on anticipating consumer demand. This approach has become even more vital during the pandemic as consumers’ needs and shopping behaviors change dramatically. But the new challenges don’t stop there.
Many forecasts, especially historical-based forecasts, were rendered useless during this pandemic, forcing many to rely on manual intuition for the foreseeable future. But from any disruption comes the next generation. In this special podcast, Joe Vernon, Capgemini America Retail and CPG Transformation Leader and Siva Lakshmanan, antuit.ai EVP Forecasting & Digital Supply Chain, discuss next-generation forecasting, Consumption Sensing, and how it detects consumer behavior shifts much more quickly and accurately than traditional methods.
Over recent months, the global pandemic has shifted the rules of engagement for everyone, both professionally and personally. For many retail companies, doors continue to remain closed, demand for products continues to fade, and consumers are now categorizing products into either ‘essential’ or ‘non-essential’ buckets. Some Consumer Products companies (CPG) seem to be benefiting during this time as they continue to manufacture ‘essential’ products and distribute them effectively across all channels, including ecommerce. However, as the world starts to see the light at the end of a pandemic tunnel, how will this shift their CPG pricing strategy?
In recent news, Nike made a shocking announcement that they were acquiring Celect, a predictive analytics and demand sensing software company, to fuel its consumer-direct offense strategy. The goal for Nike, despite their brand innovation and trendy fashion, is to better serve their customers on a more personal level by leveraging an AI platform to become hyper-focused on consumer behavior. This point of differentiation was underscored by Eric Sprunk, Nike, Inc. Chief Operating Officer, who stated:
Consumer Goods companies are seeking to leverage advanced analytics, machine learning, and artificial intelligence to gain a competitive edge as the industry continues to be hammered by disruption, changing consumer buying habits, and proliferation of indie brands.