Weather Forecasts: Supply Chain Imperative
Summary of the Article: Leveraging Weather Forecasting for Supply Chain Resilience
This article discusses the increasing importance of leveraging both short-term adn long-term weather forecasts to mitigate risks and improve procurement strategies within supply chains. Here’s a breakdown of the key takeaways:
1. Increasing Supply Chain Vulnerability:
Concentrated Suppliers: Supply chains are often reliant on a limited number of key suppliers,especially in specific geographic regions.
Disruptive Events: Catastrophic weather events (like the rainfall after Hurricane Helene) can severely disrupt supply,even with proactive measures.
Proactive Ordering is Key: Companies are attempting to order supplies ahead of predicted disruptions, but timing is critical.
2. Real-Time Risk solutions – Everstream Analytics:
Thorough data: Everstream Analytics provides hourly, gridded weather data 15 days in advance for any location globally.
Granular View: Users can view forecasts for individual plants or all suppliers in a region.
Meteorological Expertise: Everstream employs a team of 5 meteorologists, including Chief Meteorologist Jon Davis.
3. The Value of Long-Term Forecasting (beyond 15 Days):
Intraseasonal Forecasting: Forecasts extending beyond 15 days are done in six-week blocks, focusing on broader geographical areas (e.g., gulf of Mexico, Central Europe).
Strategic Procurement: Long-term forecasts enable proactive decisions like:
Energy Sector: Utilities can secure long-term contracts or hedge against price increases based on predicted winter temperatures.
Food Industry: Companies can diversify suppliers or secure option sources if forecasts predict poor yields in key growing regions (e.g.,Iowa corn).
4. Demonstrated ROI:
earlier Decision-Making: Clients using Everstream’s forecasts are making procurement decisions before harvests, leading to meaningful savings.
Consistent Savings: ROI is realized even in years with overall good yields, as regional variations can still cause disruptions.
5.Expanding Forecasting Capabilities:
Beyond row Crops: Traditionally used for crops like corn and soybeans, forecasting is expanding to include tree crops.
coffee Focus: Significant interest in forecasting coffee yields in Brazil, with models tracking both current crop advancement and long-term tree health.
* Impact on Animal Products: Weather impacts livestock, specifically milk production in hot weather.
In essence, the article highlights a shift towards a more proactive and data-driven approach to supply chain management, recognizing weather as a critical risk factor that can be mitigated through advanced forecasting and strategic planning.