Alloy.ai Drives 35% YoY Forecast Accuracy Improvement at Ember
Alloy.ai’s software also helps Ember drive inventory efficiency, scale its access to retail point-of-sale data, and align internal functions around a single source of truth...
View3 key principles for a rapidly changing world
Historically, retail forecasting has been a static input into a manual process for sales operations and supply chain management. Consumer goods companies and their retail partners created forecasts for predicted sales (or, in many cases, sell-in), updated them on a quarterly or, at most, monthly basis, and then made decisions accordingly. Due to how time-consuming and slow the process was, forecasts were not revisited until it was time to evaluate results at the end of the quarter—too late to make any meaningful corrections.
In today’s fast-moving retail environment, this old mode of forecasting is no longer sufficient for brands that want to succeed and thrive. Instead of an isolated, one-time exercise, forecasting now needs to be a process that happens continually, providing critical, real-time input for decisions across the organization.
In this guide, we’ll cover:
Alloy.ai’s software also helps Ember drive inventory efficiency, scale its access to retail point-of-sale data, and align internal functions around a single source of truth...
ViewJohn Buckley from SAP explores how COVID-19 reshaped the consumer goods landscape, the impact e-commerce had on brands and retailers, how brands can stay closer...
Keep readingNew AI features in Alloy.ai let companies predict out-of-stocks and warehouse product shortages, accurately forecast consumer demand, and discover sales and supply chain insights in...
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