in 2012, a study of 64 automobile plants over a 10 year period, conducted by Mr. Gérard P. Cachon of the Wharton School and Mr. Santiago Gallino of the Columbia Business School, found that in work weeks with 6 or more days of heat exceeding 90 degrees, productivity dropped 8%.
For an automobile manufacturer that generates $150,000,000,000 in annual revenue per year, that is a substantial loss of both revenue but also competitive edge.
Manufacturers are using OnPoint Weather to correlate worker absence, ‘lost’ productivity, and inventory with weather data and finding that past weather and climatological data is greatly improving the ability to do more long range planning that is impossible using forecast weather which is much less reliable for longer ranges.
Using past weather and climatological data, blended with forecast data, is allowing manufacturers a wide sampling of data to analyze and ultimately improve operational efficiency in the complex and highly competitive world of manufacturing.
Contact us to get started using OnPoint Weather as a part of your business intelligence.
Stella Artois Case Study
Results of the campaign were astounding:
- Stella Cidre achieved a 66% increase in YOY sales during the period of the weather-responsive campaign (source: Nielsen Sales data 2013)
- Cost efficiencies were up by 50% because ads were only shown during optimum conditions, thus there were no wasted impressions
- The campaign created a lot of buzz and online engagement, generating over $30,000 in earned media value