Among other reasons we’ve talked about, many retailers are looking at AI-powered pricing solutions because they feel confined by strict sets of pricing rules and policies, often put in place many years ago—long before modern data science was even a concept.
Retailers are already facing their next inventory crisis—too much stock on hand, with too few buyers.
Not an Ideal Predicament
Depleted revenue, compressed margins, a shortage of labor, plus an infrastructure not designed for an online volume consisting of 40-60% of total sales. Not ideal for fashion retailers. And beyond that, retailers experience up to 8 percentage points of margin loss on a digital order.1
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.
As the economy slowly begins to open, retailers must prudently plan on what to do with their inventory as their stores reopen and demand returns. In this video, David Barach, VP of Marketing and Pricing Analytics, demonstrates antuit.ai’s Retail Inventory Simulator as a follow-up from his previous Webinar: Retailers, COVID-19, and the Future – Part 1.