Thursday, September 2, 2010

Announcement on Planning Software to Distribute Red Bull, Sweet Leaf Tea, and Nesquik to 3000 Licensed Retailers

Loveland Distributing selects Paragon to plan efficient beverage distribution
Dallas, 02 September 2010 – Loveland Distributing Company, Inc, is implementing advanced distribution planning software from Paragon Software Systems, Inc (http://us.paragonrouting.com). Loveland will use the software to optimize delivery routing of alcoholic and non-alcoholic drinks such as Red Bull, Sweet Leaf Tea, and Nesquik to 3000 licensed retailers including Wal-Mart, Food Lion, Kroger, and 7-Eleven.

Paragon won the software contract against stiff competition from other technology vendors, including Roadnet and Appian.

“We looked at several other products, including Roadnet, but we found that Paragon offered more features at a lower cost. Paragon’s team was also able to demonstrate the product using our data, which clearly explained the value of the product to the project team,” says Paul Collier, Loveland’s MIS Director and project leader.

The company will use the software to automate the planning of 20 optimized routes across the state of Virginia. This includes the counties of Henrico, Hanover, Chesterfield, Goochland, King William, King & Queen, Powhatan and Caroline, and the city of Richmond. These routes service around 500 customers each day.

Loveland has a varied fleet of vehicles used across the routes and the company expects the software will improve efficiencies. The fleet includes bulk tractor-trailers, draft trucks, 18-bay delivery tractor trailers, 16-bay trucks, heavy-duty vans, and support vehicles.

“We hope the software will help us become more efficient. By using Paragon software, we will reduce daily routes and mileage with consequent operational savings. We will use the software to recalculate our current routes into a more efficient pattern. We will then use the software to re-route every two months to meet varying seasonal demands. In a year’s time – perhaps sooner – we aim to move to daily optimization,” says Paul Collier.