Today’s manufacturing landscape is more volatile than ever—delays, shortages, and unexpected disruptions are the norm. Yet most manufacturers still operate without the external data they need to adapt in real time.
📉 59% of manufacturers faced shipping delays in 2022
📉 Up to 13% of profits lost due to supply chain disruption
If you’re not integrating external data into your production strategy, you’re falling behind.
Why External Data Gives You the Competitive Edge
✅ Identify supplier risk and delivery delays before they impact production
✅ Predict demand and align inventory to avoid overproduction
✅ Optimize labor and resource allocation for higher efficiency
✅ Boost resilience against market shifts and regulatory changes
How It Works
🔹 Use genetic algorithms to solve complex production optimization problems
🔹 Apply time-series analysis to forecast demand and align inventory
🔹 Leverage machine learning to optimize workforce planning
🔹 Monitor external data signals to anticipate supply chain risks and competitor moves
Real-World Impact: A 313% Revenue Surge
Flyer, a newcomer in the airline industry, used data-driven supply chain forecasting to increase revenue by 313% in a single quarter. By predicting demand and aligning inventory accordingly, they avoided stockouts and excess production—maximizing profitability and efficiency.
Data isn’t just a nice-to-have. It’s your competitive advantage.
📩 Want to learn how to implement external data into your production planning?
Let’s talk about your use case.