Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In an increasingly competitive and dynamic marketplace, the apparel industry faces unique ...

Predictive analytics has become indispensable for anticipating and adapting to market shifts. This advanced approach involves leveraging a blend of historical and current data and sophisticated ...

Building on the foundational workflow optimization strategies explored in part one, this second installment of ... Read More ...

In today's ever-evolving landscape of supply chain management, executives and leaders are facing an intricate web of challenges. To navigate these complexities, advanced analytics and AI have emerged ...

Analyst Insight: The evolving use of data analytics is helping companies achieve supply chain sustainability objectives in the areas of forecasting, transportation and packaging. Sustainability ...

Leeds is at the forefront of data analytics with two new innovative master’s programs—supply chain analytics and marketing analytics. “Being able to launch marketing analytics and supply chain ...

In modern manufacturing, data has become just as critical as raw materials and skilled labor. From machine sensors and production lines to supply chain and qual ...

At the turn of the modern century, companies began using predictive analytics to gain more insight into how their supply chains were performing, and how they might perform in the future. The impact ...

One big problem that AI cannot solve is the problem of Big Data: the lack of data, the overwhelming amount of data, the ...

GM's AI-driven system can analyze data to predict events like hurricanes and map out suppliers, enhancing the automaker's ...

Skill gaps are emerging as a critical challenge for organisations, compelling them to take proactive measures to bridge these divides. A recent McKinsey survey reveals that a staggering 87% of ...