Sales prediction modeling is a tool used by real estate organization with multiple revenue producing sites whether it is direct sales, cell phone contracts, walk-in patients, investment clients, or tuition payments. In all cases a picture of “the customer” must be produced, usually based on past location results or a client defined picture of their customer. Building these prediction models is an art and requires a sophisticated statistician as well as knowledge of the industry and available data.
It is a big step for many companies to implement an IWMS and to simply establish a single source of all location data. It can advance a companies effectiveness substantially with that first step of IWMS use. Once this has been done successfully though, users of IWMS systems start to come up with ideas of how the system can be used to further improve their internal processes and evaluate success. By having all the data in one place, hopefully organized by location, users can begin to apply decision tools to make better decisions.
DALLAS, TEXAS, (March 22, 2010) — Lucernex Technologies, an innovative developer of business intelligence software for real estate management and development, today announced that it has entered into a partnership with Buxton®, the industry leader in customer analytics. This new partnership will provide clients of Lucernex and Buxton® with a wider array of software solutions that both manage the real estate lifecycle process and provide detailed financial models for customer behavior.