Sold by: Weather Trends International
Deployed on AWS
Using our proprietary knowledge about the weather's quantifiable impact on product sales, this data file provides you with access to weekly short-range projections for year-on-year sales of sandals.
Overview
Using our proprietary knowledge about the weather's quantifiable impact on product sales, this data file provides you with access to weekly short-range projections for year-on-year sales of sandals.
2 Files will be included in this set. One containing the year-on-year change in sales data and an accompanying look-up file containing each station's ID, City, State, Longitude, and Latitude.
This data set is just a sample of categories we have analyzed. Our full solution allows for analysis of your product line at your desired geography. For more information, please reach out to sales@wt360.com .
Short-Range forecasts cover a 2-week forecast period.
Coverage
- 50 stations.
- Includes Weather Data for select locations in the contiguous United States.
Variables
- Year-on-year change in sales (%)
Specifications
- Format: csv
- Year-on-year sales projections ONLY take into account weather-driven impact. Other factors like competition, marketing, and stock-outs to name a few can impact year-on-year changes in sales.
Details
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Product Access | Dimension that grants access to the product for subscribers. | $7,500.00 |
Dimensions summary
This listing uses a single pricing dimension: Product Access (Units). You buy access through a contract, and the unit count grants subscribers entry to the product. There are no separate tiers or instance sizes to compare. Pricing scales with the number of units you purchase. The product delivers a weekly short-range sales demand forecast for sandals, broken out by station across the US. You select the unit quantity that matches your access needs, and billing follows the contract term.
Top-of-mind questions for buyers
One unit grants a subscriber access to the product. Access covers the weekly short-range sales demand forecast for sandals, broken out by station across the US. You buy the number of units that matches how many subscribers need entry to the forecast.
You get a weekly short-range demand forecast for sandals, reported by station across the US. It links weather patterns to expected product demand, so you can plan inventory, staffing, and promotions ahead of time rather than reacting after sales shift.
Cost scales with the number of Product Access units you buy. Each additional subscriber needing entry adds a unit. There are no separate tiers or instance sizes; you increase units to match your access needs, and billing follows your contract term.
www.weathertrends360.com
Helpful?
Vendor refund policy
No refunds offered.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
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 |
|---|---|---|---|---|---|---|
Weekly Short Range Sales Demand (Sandals) Forecast By Station - US | All historical revisions | All future revisions | Not included | Not included |
Resources
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