By extracting maximum predictability from the data
with a 2700 BPS increase in forecast accuracy
achieved by reducing inventory and increasing sales
saving millions annually by aligning shelf stock to consumer demand
Over reliance on historical sales, shipments, or retail orders fail 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.
by going from 0% to 60% ‘no touch’ demand planning
by reducing planning time by 15%
and achieved a 10% gain in planner productivity
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.
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
Want to get the best AI Demand Forecasting, but don’t want to get locked out? Try the AI Demand Modeling Studio. This solution brings highly extendable, pre-configured AI models and machine learning pipelines to your fingertips, but still allows your data science team to bring their own models and experimentation.
Watch this demo.