Making faster and better decisions along the supply chain – through data-driven supply chain management (SCM) optimization
Companies need an integrated, data-driven approach to map the increasing demands on supply chain management
in real-time
entire supply chain
for predictive analytics
Dynamic markets and increasing disruptions – such as trade wars, trouble spots, and rising inflation – are making supply chain management ever more demanding. The key challenge for companies is to set up their supply chains efficiently and robustly to meet the new requirements. Otherwise, there is a risk of profitability collapsing and their position in global competition eroding.
Typical weaknesses in existing SCM organizations are insufficient transparency, a lack of data integration, unreliable forecasts, and overly rigid planning. The effects of these deficits include lower service levels, rising inventory levels, and higher freight and capital costs. Targeted optimization can increase efficiency and savings potential and strengthen the supply chain's resilience in the long term.
Successful companies analyze the relevant ERP data in real time to make better decisions and identify approaches to further developing supply chain management. With EFESO's comprehensive expertise and the right analysis tools, our customers achieve their goals of greater planning accuracy, inventory reduction, transparency, and efficient processes.
