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In addition, they can use statistical methods, algorithms and machine learning to more easily establish correlations and patterns, and thus make predictions about future developments and scenarios. In particular, human resources is still one of the least data-driven areas of a company, and potential is often not fully exploited.
In the post-COVID era, they can be empowered with a high standard of data and analytics sophistication to cope and thrive. By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. To introduce him better, he has been a supply chain analytics professional for over 14 years.
The pre-COVID-19 forecasts are no longer kind of valid as the pandemic has entirely disrupted the market. And like you rightly mentioned that they could have a better recommendation system perhaps improved forecasting tools and broadly, AI and analytics like contextual solutions to power their businesses. Thank you, Suvodip.
PeopleAnalytics can be the stepping stone to Empowering Employees. Logistics Manager claims that the European retailer HEMA has introduced a sophisticated machine learning algorithm to detail background statistical work in its retail supply chain. Don’t believe us? See for yourself! Fine-tuning business planning.
PeopleAnalytics can be the stepping stone to Empowering Employees. Logistics Manager claims that the European retailer HEMA has introduced a sophisticated machine learning algorithm to detail background statistical work in its retail supply chain. Don’t believe us? See for yourself! Fine-tuning business planning.
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