REAL ESTATE TECHNOLOGY
prnewswire | November 05, 2020
Hilco Redevelopment Partners (HRP), the real estate development unit of Hilco Global that remediates and redevelops complex and obsolete industrial properties, announced today it has hired George Needs to the position of Vice President – Mixed Use Development. Mr. Needs joins the growing HRP organization and will be a vital addition to the new urban mixed-use development team. Mr. Needs will join Melissa Schrock, who was recently brought on to lead the team, and together, they will be responsible for managing several exciting projects currently underway, including L Street Station in Boston, Massachusetts and Campus Bay in San Francisco, California, among other significant projects throughout the country. He will be based on Boston, MA.
REAL ESTATE TECHNOLOGY
Haute Residence | April 26, 2021
Haute Residence is pleased to announce the continuation of its partnership with renowned real estate agent Clara Hartree as its representative in the West Vancouver, British Columbia real estate industry. Clara is now in her second year as a member of the exclusive, invitation-only network of top real estate professionals.
For over thirty years, Clara Hartree has been selling real estate in British Columbia, Canada. During this time, she has built a strong reputation as a marketing leader and skilled negotiator. She continues to receive industry accolades for her achievements, and she is ranked in the top 1% of Realtors in Vancouver, as well as the top 100 RE/Max agents in North America. Clara's marketing strategy for her listings includes both local and foreign exposure. She works in British Columbia's Lower Mainland, which includes Vancouver, West Vancouver, and North Vancouver.
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REAL ESTATE TECHNOLOGY
Placer.ai | November 12, 2021
Placer.ai, the leader in location analytics and foot traffic data, released its Void Analysis tool today. Void Analysis is an easy-to-use interactive tool that empowers shopping center owners or leasing representatives to find the ideal tenants for any retail space. Prospective tenants are ranked and ordered based on a variety of factors, and a list of tenants is then automatically produced, quickly identifying the ideal candidates and candidate types for any vacant retail space.
"The retail real estate market is experiencing an unprecedented moment of change and the role of data in guiding decision-making is only increasing. Placer's Void Analysis tool enables CRE professionals to rapidly identify the ideal fit for any retail space based on a variety of critical factors. With this information, ideal candidates can be quickly identified and the pitch strengthened with objective, reliable location analytics. The result is a unique opportunity to help CRE professionals make better decisions, and faster than ever before."
- Placer.ai Co-Founder and CEO Noam Ben-Zvi.
Void Analysis consists of two main elements:
Analyze top tenants
Top potential tenants for any shopping center vacancy based can be identified based on their Relative Fit Score (RFS).
The Relative Fit Score is based on several parameters including demographic fit score (DFS), cannibalization rate, average monthly foot traffic, and co-tenancy fit.
Learn more about potential tenants
Dive deep into the match between your shopping center and a
prospective tenant, including the breakdown of which factors suggest strong potential success.
Gain a detailed look at key metrics like household income, gender, age, frequent co-tenants, and other parameters to help sharpen the focus and customize the search to account for more variables.
Void Analysis is currently available to all Placer.ai subscribers.
Silicon Valley-based Placer.ai is the most advanced foot traffic analytics platform, allowing anyone with a stake in the physical world to instantly generate insights into any property for a deeper understanding of the factors that drive success. Placer.ai is the first platform that fully empowers professionals in retail, commercial real estate, hospitality, economic development, and more to truly understand and maximize their offline activities.