Bryan Eisenberg Eisenberg says the algorithm crunches through 15,000 retail location factors.

AUSTIN, TX—Founded in 2014, IdealSpot Inc., headquartered in Austin, TX, is a technology company specializing in software for the commercial real estate and retail industries. The mapping and analysis company has raised $1 million from several angel investors and venture capital led by ATX Seed Ventures to fuel its initial launch and national market expansion.

Bryan Eisenberg, CMO of IdealSpot tells GlobeSt.com: “Our machine learning algorithm offers retailers access to data and insights that were never available before. When a chain of fast casual restaurants was struggling with one of its locations it was our customer location targeting analysis that showed that there was little to no interest in their business category at this location. We found that by analyzing search, social media and spending patterns. Our algorithm is also crunching through 15,000 factors when the typical retailer may look at 20 to 30.”

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Lisa Brown

Lisa Brown is an editor for the south and west regions of GlobeSt.com. She has 25-plus years of real estate experience, with a regional PR role at Grubb & Ellis and a national communications position at MMI. Brown also spent 10 years as executive director at NAIOP San Francisco Bay Area chapter, where she led the organization to achieving its first national award honors and recognition on Capitol Hill. She has written extensively on commercial real estate topics and edited numerous pieces on the subject.

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