Anticipate the market to maximize your warehouse fill-rates and guide your field sales to perfect store orders
with a 2500 BPS improvement of daily forecast accuracy
due to 10% fewer expedites
with a 1500 BPS gain of forecast accuracy
on an hourly basis with a 20% improvement of SKU/Store accuracy
realized by having the right inventory in stores at the right time
and supported 10,000+ parallel users
Overreliance on historical sales, shipments, or retail orders fails to sense consumer demand shifts, leaving orders unfilled. Companies must start using external, leading indicators to sense consumer demand and shifts
Watch this 1-minute summary video to understand why.
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.
Many companies struggle to decipher explainable data within the noise of their historical data. Yet of those that do, many still fail to gain the full value from their demand predictions if they aren’t used throughout their processes.
In this short video presentation, Dr. Nicholas Wegman explains how to overcome these challenges.
Watch the 1-minute summary video.