Demand planning approaches that rely on historical sales, with no consideration of external causal factors, are insufficient. It’s impossible to predict the impact of external factors and changes in economic conditions, and this pain is exacerbated by demand instability amid rising consumerism, shrinking product life cycles, and SKU and channel proliferation.
With access to over 550,000 time series data sets of external causals including weather and economic data, the llama.ai platform enables you to master demand attributes, drivers and variables for more accurate projections and more confident supply chain decisions. Traditional statistical forecasting techniques are augmented with significant use of machine-learning to drive substantial improvements in forecast accuracy.
- Double-digit percentage gains in forecast accuracy
- Ability to determine which external factors exert the most influence on demand
- Reduced working capital and improved asset utilization