
Overview
WeatherTrends360 is the premier weather data and analytics source trusted by major Retail, CPG, Pharma, Agriculture, and Financial Services companies around the world. Access to historical and forecasted weather data plays a vital role in many industries. The WeatherTrends360 global solutions include historical weather data, short-range weather forecasts, and the proprietary year-ahead statistical weather forecasting model.
For weather forecasts beyond two-weeks, the WeatherTrends360 proprietary year-ahead statistical weather forecasting model is the solution that provides the long-range guidance you need, giving you time to proactively plan inventory, advertising, allocation, budgeting, sales forecasting, markdowns, etc. before the weather strikes. Our statistical modeling algorithm creates long-range forecasts up to a year in advance that are more accurate than every other company's 7-14 day-ahead forecasts.
When knowing just the forecasted weather isn’t enough, WeatherTrends360 provides weather-based predictive analytics to help clients measure, quantify, and forecast the effect of weather on your business last year, next week, and a year-ahead. Trusted by the Fortune 100 and Main Street, it's the next generation of weather-based predictive analytics.
This data set is a sample of the weather-based sales planning tools available from WeatherTrends360. With hundreds of products/categories available, global coverage, in a variety of formats (daily/weekly/monthly), these strategic weather-based sales planning tools show historical actual weather-based sales, forecasted sales out 11-months utilizing our proprietary Statistical Long-Range Forecast for strategic planning, and two-weeks ahead using our Short-Range Forecast for daily/weekly tactical planning tools that are updated every week. (Annual Subscriptions available)
Our full solution has data at least every 5km across the globe and goes out 11-months and back decades. For more information or custom geographies, please contact sales@wt360.com .
DEMO Content:
- Locations: NYC, London, Beijing, Paris
- History: Weekly Temp (max/min/avg) and Total Precipitation, 2 years
- Long Range Weather Forecast: Weekly Temp (max/min/avg) and Total Precipitation, 6 month demo
- Long Range Sales Demand Forecast: Beverages, Weekly Year-on-Year Change in Weather-Influenced Sales (%), 6 month demo
- Long Range Store Traffic Forecast: Weekly Year-on-Year Change in Weather-Influenced Store Traffic (%), 6 month demo
Coverage
- Global
- City/Station/Region/Store/DC/Syndicated/Client Custom
Variables
- Daily/Weekly Year-on-Year Change in Sales (%)
- Daily/Weekly Average Temperature (°C)
- Daily/Weekly Maximum Temperature (°C)
- Daily/Weekly Minimum Temperature (°C)
- Weekly Precipitation (mm)
Categories
- Beverages: Hot, Cold, Bottled Water, Soda, Beer, Coffee, Tea, etc.
- Hardlines: Heaters, Fans, AC, Humidifiers, Dehumidifiers, Heating Fuel, etc.
- Softlines: Shorts, Sandals, Boots, Light-weight Outerwear, Heavy-weight Outerwear, etc.
- Automotive: Wipers, Batteries, Winter Chemicals, Brakes/Pads/Rotors, etc.
- Store Traffic: Home Improvement, Convenience Store, Mall, Walmart, etc.
- Hundreds more, custom client options available
Details
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You can now purchase comprehensive solutions tailored to use cases and industries.
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Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Weather-Based Predictive Analytics DEMO | Last 1 revisions | No future revisions | Not included | Not included |
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