When I run introductory workshops with retail clients to help them understand the value of AI – and more importantly what wins they should reasonably expect and where they should start – one of the things we always caution is to remember that not everything is forecastable. Well if the events of the last few months have reinforced anything, it is exactly this point.
Gartner estimates that the fragmented but quickly consolidating customer experience and relationship management software market generates $50BN in revenue per year and is growing at a 15% compound annual growth rate. If we add the additional investment in IT, human capital, and creative development, brands invest well over $100BN per year to deliver relevant and valuable experiences to their customers.
The panic buying and consumer demand shifts ravaged demand forecasts, leaving most CPG companies reverting to manual intervention to fix their stock issues. While unavoidable in the beginning, this event highlights the shortcomings of many forecasting methodologies: a basic assumption that demand is steady and slowly changes. Consumption sensing takes a new approach by creating a "conversation with the consumer" to predict consumer demand and identify shifts for near, mid, and long term forecasting and planning.
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.