Abstract: Wintertime precipitation (snow, Ice, rain over snow) cause more than 89% of structural failures in the US each year*. Insurance industry estimates losses exceed $2 Billion USD each year. These estimates do not include “soft costs” like lost business days or revenue. ASCE Snow Induced Building Failures Report-August 2012 Roof snow removal is a labor intensive & hazardous operation. Best practices mandate fall protection and careful operational supervision both on the roof and at ground level. The cost to a building owner can range widely depending on the conditions and the type of building and its unique features. With cost ranging from $1.00 to $3.00 per square foot, a reliable and accurate system for measuring roof loading will give property managers a way to safely and effectively manage snow load monitoring and removal.

Abstract: A system and method for electronic commerce. In one embodiment, product data is received for a plurality of products and sales data is received for each of the products. A sales trend condition is calculated for each of the products based on a current time, the sales data for each of the products, and the product data for each of the products. A customer request to view the products is received, and a web page including a predetermined portion of the product data and a sales trend indicator representing the sales trend condition for each of the products is presented. The method may be implemented on a server computer which communicates with customer computing devices via a wide area network such as the Internet.

Abstract: A system and method for electronic commerce. In one embodiment, the method comprises receiving product data for a plurality of products and receiving sales data for each of the products. A sales trend condition is calculated for each of the products based on a current time, the sales data for each of the products, and the product data for each of the products. A customer request to view the products is received, and a web page including a predetermined portion of the product data and a sales trend indicator representing the sales trend condition for each of the products is presented. The method may be implemented on a server computer which communicates with customer computing devices via a wide area network such as the Internet.