Why does cloud supply chain management tends to have lower TCO (total cost of ownership) than on-prem solutions? Read on to find out.
As securing freight capacity becomes more and more competitive, supply chain businesses will increasingly need transportation forecasting capabilities.
The challenges brought by the coronavirus in 2020 aren't going anywhere, meaning that manufacturers and other supply chain businesses will need to adapt.
S&OP is standard practice for most manufacturers--but what's its actual impact on cost management?
AI can power digital twins, which offer smarter digital planning workflows for manufacturers. But is that all AI can do?
Effective transportation forecasting is critical for avoiding costly premium freight--but it's not without its challenges.
The truck/automotive industry is still recovering from the COVID-19 crisis--which means global supply chains are going to need serious transformations.
Increases in distributed manufacturing, AI, machine learning, and advanced analytics will bring changes to global manufacturing in the coming years.
Supply chain integration can help improve revenue for manufacturers and logistics providers--but can it also improve your demand forecasts?
Artificial intelligence (AI) has the power to be a transformative technology in the era of Industry 4.0--for those who know how to make the most it.
The debate between black-box and unexplainable AI is underway--how do production planners fit into the discussion?
Big Data and AI both can maximize the value of manufacturers' digitization efforts--the question is: how do you extract value from these technologies?
Is it true that Industry 4.0 is all hype? Or that it's too expensive for SMEs? Not necessarily...
As supply chains go digital in the Industry 4.0 era, it's time to get smarter about tender management: that means digitization and advanced analytics.
Industry 4.0 technology is a priority for almost everyone right now--but are all Industry 4.0 IT deployments created equal?
S&OP is a crucial value added proposition for manufacturers--but what separates the successful S&OP processes from the ones that fail?
Digital twins, advanced analytics, and supply chain integration can all help you optimize your production planning and scheduling.
