Happy Nice Mall

Jordan Fisher was worried. Each variant of Red Bull energy drink comes in a similar metal can, and his company’s camera system, which monitors the products customers buy in stores, had trouble distinguishing them.

That hurdle was one of the many challenges his company Standard AI faced when equipping a Circle K grocery store in Tempe, Arizona with computer vision software that monitors every item customers buy so they can simply scan their app-enabled phone. Pay as you go, eliminating the exit queue. A network of over 100 cameras can identify any of the thousands of similarly sized candies or beverages captured by customers, including Red Bull cans, and are now identifiable thanks to a combination of geometric projections and higher resolution cameras.

This tracking of in-store consumer activity, where shoppers stare and linger, cameras capture interactions and near misses, is part of an effort to use data collection to make commercial real estate more efficient.

“Checkout is kind of a killer app, but that’s just the tip of the iceberg,” said Mr Fisher, CEO of Standard AI, which hones camera accuracy in high-volume, high-density environments. “You have a system that understands where people are in real time down to the centimeter. It’s all about the use of real estate.”

From the invasion of big-box stores to the rise of e-commerce and the recent pandemic quarantines, physical retail may seem like it’s in perpetual crisis. But face-to-face shopping still very popular and an important investment issue. (Retail technology investment It hit a record $31.5 billion in the second quarter of this year.) Amazon has spent generously on physical retail, including $13.4 billion. Acquisition of Whole Foodsand its development Walk Out system onlystarted a race between grocery stores and retailers for cashierless payment.

Layers of technology added in stores and entertainment venues (crowd monitoring cameras, information gathered from smartphones, neighborhood foot traffic logs, and complex demographics) aim to augment the data measurement and analysis of the online experience.

But privacy advocates are sounding the alarm about the technology as Big Tech is under increasing scrutiny. Congressional testimony from the House Facebook whistleblowerFrances Haugen intensified calls for new regulations to rein in Silicon Valley giants in October.

Complicating efforts to address privacy concerns is a lack of regulatory clarity. Gary Kibel, a retail specialist at law firm Davis+Gilbert, said that without a comprehensive federal privacy law or even a shared definition of personal data, retailers must separate layers of state and municipal rules, such as the California Consumer Privacy Act. privacy.

Tech companies oppose the backlash, stating that their systems are designed to limit what they collect and anonymize the rest. For example, Standard AI’s system does not capture faces, so they cannot be analyzed with face recognition technology.

The growing volume of data on consumer and crowd behavior has significant implications for real estate design. It even makes the physical space more interactive for marketers.

WaitTime, an artificial intelligence crowd-counting startup powered by Cisco Systems, is used by venues in Australia such as Dodger Stadium and Melbourne Cricket Ground. At FTX Arena, starring the Miami Heat, digital messaging at the hall entrances powered by WaitTime tells fans not only where to find food and drink, but also the length of the lines.

In today’s market, “data removes risk,” said Ken Martin, Cisco’s global director of sales, adding that audience monitoring technology can guarantee a high return on investment.

The increasing use of crowd-counting technology is part of a wave of changes that industry experts say sports and other entertainment venues will use to improve safety and crowd flow and allow mobile and contactless ordering.

“The pandemic has pushed people who are not using this technology beyond borders,” said Sanford D. Sigal, CEO of NewMark Merrill, which owns more than 80 malls, and president of retail development firm BrightStreet Ventures. technology. “Is this technology the aspirin you take when you’re feeling down or the penicillin that saves your life? Today, it’s definitely penicillin.”

Many industry observers suggest that these methods can improve performance, but doubts exist.

“I’m a fan of fact-based decision making, but there are many charlatans who promise things that are unreasonable in terms of outcomes,” said Mark A. Cohen, director of retail research at Columbia Business School.

But advocates argue that data can make a difference in decision-making by making it easier to rent and research new places. Detailed information on how customers use parking or certain stores helps homeowners and property owners better choose malls and malls.

“It cannot be said that data is so unconnected with intuition. “The fact that data is real and it gives brands the extra push they need to open stores,” said Adam Henick, founder of Current Real Estate Advisors, which focuses on social media and data analytics.

He compared the adoption of data in real estate to Major League Baseball’s recent adoption of more aggressive defensive alignments, using statistical analysis to change fielders for each inning. The same game played, but with much more strategy and precision.

Ethan Chernofsky, vice president of marketing at Placer.ai, which provides location information and demographics for retailers, said brokers can more easily gain a handful of potential locations based on local demographics and a mix of nearby stores.

“Now you really understand the demographics that come to a location, the actual foot traffic, the value and traffic of co-tenants, a much richer understanding of a location,” said Kevin Campos, who runs the retail technology fund at the venture. equity firm Fifth Wall. “A more informed conversation between a landlord and a potential tenant.”

Placer has nearly 800 clients in the commercial real estate and retail industry, including top brokerages and developers such as Tishman Speyer and Marcus & Millichap. James Cook, director of retail research for the Americas at JLL, a commercial real estate company, said the Placer data is a go-to tool for measuring returning customers this year, offering one-week insights where previous methods would lag three or four months. mediation.

The growth of data mining has attracted more entrepreneurs eager to create a more data-informed experience for retail brands.

Leap, a New York start-up, operates small, often digitally local, direct-to-consumer boutique stores in several states, managing their real estate, design work and even data analytics, says Amish Tolia, a co-manager. Vault. For example, Goodlife Clothing, an online retailer, hired Leap to operate its two Manhattan locations.

“I look at this business in a digital way and they are looking at it the same way,” said Andrew Codispoti, Goodlife co-founder and CEO. “As a brand, they’re specializing in where to grow, in more and more locations around the country, based on your data.”

The option to open a turnkey location is a big selling point, but Leap also combines shopping models across all of its locations, including local e-commerce sales, foot traffic, and neighborhood demographics. This allows it to select ideal tenants and even tell them the most profitable products to showcase.

“Leap will effectively have a national-level dataset that really makes sense for retailers and property owners,” said Mr. Henick of Current Advisors, who helped Leap find Manhattan locations for retailers. “It can give comfort to brands with success rates in a particular location.”

Data mining and analytics are becoming key tools to help retail and entertainment recover from the pandemic-induced downturn, he added. “If you’re spending dollars, wouldn’t you want to spend them as accurately as possible?” said. “I think that’s the benefit of data.”