When it comes to demand forecasting, most companies have way too many forecasting mechanisms in play across their organization. Each segment of the business ends up siloed from the others, relying on its own data and analysis, which impacts both efficiency and effectiveness.
To create intelligent supply chains, ones that can adapt to changing customer demands and increase efficiency and profits, enterprises are increasingly leveraging artificial intelligence (AI) and machine learning (ML).
Most organizations do a poor job forecasting, with just one in five coming within 5% of forecasts. This statistic is staggering, and it implies that although many organizations understand the value of forecasting, the majority of them are doing it inaccurately.
3 Ways Brands Can Thrive in a Dynamic Retail Industry
on October 25, 2018
| By Antuit Insights
|
Demand Analytics
Traditional retail may be doomed, but its complexities extend far beyond common scapegoats, the Internet and eCommerce. The retail industry is more dynamic than ever before, and it’s driven by customer preferences and demand.
5 Common Data Preparation 'Missteps'
on October 22, 2018
| By Antuit Insights
|
Demand Analytics
The vast majority of organizations consider data preparation their biggest bottleneck. It costs billions of dollars and delays discovering insights. But reliable data is a necessity in advanced analytics and without it, analytics solutions results are incomplete, or worse, inaccurate.
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