Technology Category
- Analytics & Modeling - Predictive Analytics
- Infrastructure as a Service (IaaS) - Public Cloud
Applicable Industries
- Glass
- Transportation
Applicable Functions
- Logistics & Transportation
- Procurement
Use Cases
- Construction Management
- Time Sensitive Networking
Services
- Training
About The Customer
The customers in this case study are diverse, ranging from hardware store owners to construction project managers and travel industry professionals. These customers operate in industries that are heavily influenced by weather conditions. For instance, hardware store owners need to understand weather patterns to manage their inventory effectively and serve their customers better. Construction project managers need to incorporate weather intelligence into their scheduling and project management to mitigate weather-related delays. Travel industry professionals, particularly those in airline operations, need accurate weather data to make crucial operational decisions, such as re-routing or grounding flights during adverse weather conditions.
The Challenge
In the face of increasing climate-related disruptions, understanding the impact of weather on business operations has become crucial. From supply chain disruptions to predicting demand for certain services, weather patterns can significantly influence business outcomes. However, the challenge lies in making this weather data accessible and understandable to everyone in an organization, not just meteorologists. This is particularly important for businesses like hardware stores, which need to match historical weather patterns with purchasing patterns to optimize their inventory. Similarly, industries like construction and travel, which are heavily influenced by weather conditions, need to incorporate weather intelligence into their planning and decision-making processes.
The Solution
Google Cloud, under the leadership of Developer Advocate Shane Glass, is working to make massive climate- and weather-related datasets available to the public. The goal is to help users unlock new insights and make more intelligent decisions. For instance, a hardware store owner can use these datasets to understand historic weather patterns and match them with purchasing patterns from previous years. This allows for better inventory management and customer service. Similarly, Procore, a cloud-based construction project management software, uses connected data to incorporate weather patterns and potential delays into their project analytics. This helps in adjusting schedules and making projects as efficient as possible. In the travel industry, companies like Amadeus use weather accuracy to make operational decisions, such as re-routing or grounding flights during a snowstorm.
Operational Impact
Quantitative Benefit
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