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Deep North raises $25.7M for AI that uses CCTV to build retail analytics
Amazon and others have raised awareness of how the in-store shopping experience can be sped up (and into the future) using computer vision to let a person pay for and take away items without ever interacting with a cashier, human or otherwise. Today, a startup is announcing funding for its own take on how to use AI-based video detection get more insights out of the retail experience. Deep North, which has built an analytics platform that builds insights for retailers based on the the videos from the CCTV and other cameras that those retailers already use, is today announcing that it has raised $25.7 million in funding, a Series A round that it plans to use to continue expanding its platform.
Deep North’s AI currently measures such parameters as daily entries and exits; occupancy; queue times; conversions and heat maps — a list and product roadmap that it’s planning to continue growing with this latest investment. It says that using cameras to build its insights is more accurate and scalable than current solutions that include devices like beacons, RFID tags, mobile networks, smartphone tracking and shopping data. A typical installation takes a weekend to do.
The funding is being led by London VC Celeres Investments (backer of self-driving startup Phantom AI, among others), with participation also from Engage, AI List Capital and others. The startup is not disclosing its valuation, and previously Deep North has not disclosed how much it has raised.
Previously known as VMAXX, the Bay Area-based startup, according to CEO and co-founder Rohan Sanil, currently is in use by customers in the US and Europe. It does not disclose customer names, but Sanil said the list includes shopping centers, retailers, commercial real estate businesses and transportation hubs.
There are a number of retail analytics plays on the market today, but up to now the vast majority of them have been based on using other kinds of non-visual (and non-video) data to build their pictures of how a business is working, including logs of sales, card payments, in-store beacons, in-store WiFi and smartphone usage.
This list is, indeed, extensive and already provides a startling amount of data on the average shopper, but it has its drawbacks. Some people don’t use in-store WiFi; beacons are not as ubiquitous as CCTV; certain shopping data is a false positive, in the sense that if you don’t buy anything, it’s harder to track why not and where everything went wrong in getting you to shop; and perhaps, most importantly, you can’t see how shoppers are behaving, where they are looking and walking.
“The data collected [by these other means] is only 30-60% accurate and then extrapolated,” Sanil notes in a blog post. And that is not the only challenge. “The other is the enormous cost of the technology along with the software – which requires a team of programmers to get anything beyond stock analysis – plus being locked into a single vendor.”
Video systems “make a lot more sense,” he adds, and so does using those that are already installed in retailers’ locations. “The customers we see have no interest in deploying and paying for additional infrastructure, when the average store has several cameras already, and a typical big box store has dozens. Making our vision work means quantifying what a camera can see – and seeing through the cameras already in use.” The company typically integrates with 60-70% of a company’s installed cameras to run its analytics.
It’s that differentiation that has attracted investors. “Deep North’s platform allows retailers to gain real time insights on data points that were previously unattainable in the physical world. By leveraging existing video footage to understand activity and behavior, operators can now make informed decisions with the help of their prescriptive analytics engine,” said Azhaan Merchant of Celeres Investments, in a statement.
CCTV has had a problematic profile in the world of data privacy, where people pinpoint it as enemy number one in our rapidly expanding surveillance economy, and have ironically pointed out that it rarely is fit for the purpose it was originally set out to serve, which is deterring and identifying shoplifters. It’s notable to me that Deep North doesn’t actually ever use the term CCTV. (“Customers use a variety of terms for their cameras including CCTV, camera networks and loss prevention cameras so we’ve chosen to use a broader term that encompasses them,” a spokesperson said.)
Whatever you choose to call them, if a retailer has already made the leap into having these cameras installed, using them for analytics gives that business another way of getting a better return on investment. Sanil says that in any case, its platform is respectful of privacy.
“Deep North is not able to ascertain the identity of any individual captured via in-store footage,” he said. “We have no capability to link the metadata to any single individual. Further, Deep North does not capture personally identifiable information (PII) and was developed to govern and preserve the integrity of each and every individual by the highest possible standards of anonymization. Deep North does not retain any PII whatsoever, and only stores derived metadata that produces metrics such as number of entries, number of exits, etc. Deep North strives to stay compliant with all existing privacy policies including GDPR and the California Consumer Privacy Act.” (It has operations in Europe where it would need to comply with GDPR.)
Still, Deep North’s combination of computer vision with retail technology is a signal of a bigger trend. Many providers of security cameras have started to incorporate retail analytics into their wider offerings, and those that are concentrating on check out, like Amazon but also startups like Trigo, are likely also to consider this area too. Longer term, as retailers, but also their IT providers, look to get more intelligence about how their businesses are working in a bid for better margins, we’re likely to see even more players in this space.
For Deep North, that might mean also expanding into a wider set of products that not only are able to generate insights into how people shop, but then to use to those to build recommendations into how stores are laid out, or prompts to shoppers for what they might consider next as they browse.
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Placer.ai, a location data analytics startup, raises $12 million Series A
Placer.ai, a startup that analyzes location and foot traffic analytics for retailers and other businesses, announced today that it has closed a $12 million Series A. The round was led by JBV Capital, with participation from investors including Aleph, Reciprocal Ventures and OCA Ventures.
The funding will be used on research and development of new features and to expand Placer.ai’s operation in the United States.
Launched in 2016, Placer.ai’s SaaS platform gives its clients real-time data that helps them make decisions like where to rent or buy properties, when to hold sales and promotions and how to manage assets.
Placer.ai analyzes foot traffic and also creates consumer profiles to help clients make marketing and ad spending decisions. It does this by collecting geolocation and proximity data from devices that are enabled to share that information. Placer.ai’s co-founder and CEO Noam Ben-Zvi says the company protects privacy and follows regulation by displaying aggregated, anonymous data and does not collect personally identifiable data. It also does not sell advertising or raw data.
The company currently serves clients in the retail (including large shopping centers), commercial real estate and hospitality verticals, including JLL, Regency, SRS, Brixmor, Verizon* and Caesars Entertainment.
“Up until now, we’ve been heavily focused on the commercial real estate sector, but this has very organically led us into retail, hospitality, municipalities and even [consumer packaged goods],” Ben-Zvi told TechCrunch in an email. “This presents us with a massive market, so we’re just focused on building out the types of features that will directly address the different needs of our core audience.”
He adds that lack of data has hurt retail businesses with major offline operations, but that “by effectively addressing this gap, we’re helping drive more sustainable growth or larger players or minimizing the risk for smaller companies to drive expansion plans that are strategically aggressive.”
Others startups in the same space include Dor, Aislelabs, RetailNext, ShopperTrak and Density. Ben-Zvi says Placer.ai wants to differentiate by providing more types of real-time data analysis.
“While there are a lot of companies touching the location analytics space, we’re in a unique situation as the only company providing these deep and actionable insights for any location in the country in a real-time platform with a wide array of functionality,” he said.
*Disclosure: Verizon Media is the parent company of TechCrunch.
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Google Cloud lands Lufthansa Group and Sabre as new customers
Google’s strategy for bringing new customers to its cloud is to focus on the enterprise and specific verticals like healthcare, energy, financial service and retail, among others. Its healthcare efforts recently experienced a bit of a setback, with Epic now telling its customers that it is not moving forward with its plans to support Google Cloud, but in return, Google now got to announce two new customers in the travel business: Lufthansa Group, the world’s largest airline group by revenue, and Sabre, a company that provides backend services to airlines, hotels and travel aggregators.
For Sabre, Google Cloud is now the preferred cloud provider. Like a lot of companies in the travel (and especially the airline) industry, Sabre runs plenty of legacy systems and is currently in the process of modernizing its infrastructure. To do so, it has now entered a 10-year strategic partnership with Google “to improve operational agility while developing new services and creating a new marketplace for its airline, hospitality and travel agency customers.” The promise, here, too, is that these new technologies will allow the company to offer new travel tools for its customers.
When you hear about airline systems going down, it’s often Sabre’s fault, so just being able to avoid that would already bring a lot of value to its customers.
“At Google we build tools to help others, so a big part of our mission is helping other companies realize theirs. We’re so glad that Sabre has chosen to work with us to further their mission of building the future of travel,” said Google CEO Sundar Pichai . “Travelers seek convenience, choice and value. Our capabilities in AI and cloud computing will help Sabre deliver more of what consumers want.”
The same holds true for Google’s deal with Lufthansa Group, which includes German flag carrier Lufthansa itself, but also subsidiaries like Austrian, Swiss, Eurowings and Brussels Airlines, as well as a number of technical and logistics companies that provide services to various airlines.
“By combining Google Cloud’s technology with Lufthansa Group’s operational expertise, we are driving the digitization of our operation even further,” said Dr. Detlef Kayser, member of the executive board of the Lufthansa Group. “This will enable us to identify possible flight irregularities even earlier and implement countermeasures at an early stage.”
Lufthansa Group has selected Google as a strategic partner to “optimized its operations performance.” A team from Google will work directly with Lufthansa to bring this project to life. The idea here is to use Google Cloud to build tools that help the company run its operations as smoothly as possible and to provide recommendations when things go awry due to bad weather, airspace congestion or a strike (which seems to happen rather regularly at Lufthansa these days).
Delta recently launched a similar platform to help its employees.
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Soft Robotics raises $23 million from investors including industrial robot giant FANUC
Robotics startup company Soft Robotics has closed its Series B round of funding, raising $23 million led by Calibrate Ventures and Material Impact, and including participation from exiting investors including Honeywell, Yahama, Hyperplane and more. This round also brings in FANUC, the world’s largest maker of industrial robots and a recently announced strategic partner for Soft Robotics .
The company said in a press release announcing this latest round of funding that the round was oversubscribed, which suggests it isn’t looking to glut itself on capital investors, given that this $23 million follows a similarly sized $20 million round that closed in 2018 which it also referred to as “oversubscribed.” Prior to that, Soft Robotics had raised $5 million in a Series A round closed in 2015. It has plenty of large, global clients already, so it’s probably not hurting for revenue.
Soft Robotics is focused on developing robotic grippers that, as you might’ve guessed from the name, make use of soft material endpoints that can more easily grip a range of different objects without the kind of extremely specific and tolerance-allergic complex programming that’s required for most traditional industrial robotic claws.
With its 2018 funding raise, Soft Robotics said that it was expanding further into food and beverage, as well as doubling down on its presence in the retail and logistics industries. This round and its new partnership with FANUC (which involves a new integrated system that pairs its mGrip robotic gripper with a new Mini-P controller, all with simple integration to FANUC’s existing lineup of industrial robots) will give it strategic and functional access to what is the most influenentioal industrial robotics company in the world.
This round will specifically help Soft Robotics spend on growth, looking to increase its variability even further and work on expanding its food packaging and consumer goods applications, as well as diving into e-commerce and logistics – specifically to help automate and improve the returns process, a costly and ever-growing challenge as more retail moves online.
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Zebra’s SmartSight inventory robot keeps an eye on store shelves
How many times have you gone into a store and found the shelves need restocking of the very item you want? This is a frequent problem, and it’s difficult, especially in larger retail establishments, to keep on top of stocking requirements. Zebra Technologies has a solution: a robot that scans the shelves and reports stock gaps to human associates.
The SmartSight robot is a hardware, software and services solution that roams the aisles of the store checking the shelves, using a combination of computer vision, machine learning, workflow automation and robotic capabilities. It can find inventory problems, pricing glitches and display issues. When it finds a problem, it sends a message to human associates via a Zebra mobile computer with the location and nature of the issue.
The robot takes advantage of Zebra’s EMA50 mobile automation technology and links to other store systems, including inventory and online ordering systems. Zebra claims it increases available inventory by 95%, while reducing human time spent wandering the aisles to do inventory manually by an average of 65 hours per week.
While it will likely reduce the number of humans required to perform this type of task, Zebra’s senior vice president and general manager of Enterprise Mobile Computing, Joe White, says it’s not always easy to find people to fill these types of positions.
“SmartSight and the EMA50 were developed to help retailers fully capitalize on the opportunities presented by the on-demand economy despite heightened competition and ongoing labor shortage concerns,” White said in a statement.
This is a solution that takes advantage of robotics to help humans keep store shelves stocked and find other issues. The SmartSight robot will be available on a subscription basis starting later this quarter. That means retailers won’t have to worry about owning and maintaining the robot. If anything goes wrong, Zebra would be responsible for fixing it.
Zebra made the announcement at the NRF 2020 conference taking place this week in New York City.
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Walmart and Green Dot to jointly establish a new fintech accelerator, Tailfin Labs
Walmart announced today an expansion of its existing relationship with financial services provider Green Dot, which will continue to serve as the issuing bank and program manager for the Walmart MoneyCard program for another seven years. The two companies also agreed to partner on the creation of a new accelerator that focuses on the intersection of retail and consumer financial services.
The accelerator, called Tailfin Labs, will help startups develop solutions that integrate omni-channel shopping and financial tech, which can be aimed either at consumers or businesses. These may involve products built on top of Green Dot’s “Banking-as-a-Service” (BaaS) platform.
“Green Dot is extremely proud and honored to both extend our MoneyCard partnership for many years and to additionally enter into an entirely new equity partnership with Walmart in the creation of a fintech accelerator,” said Steve Streit, founder and CEO, Green Dot, in a statement. “We believe the combination of Walmart’s unmatched retail ecosystem with Green Dot’s innovative and highly flexible BaaS platform, which enables the world’s largest technology and consumer brands to address their consumers with bespoke financial products and services, has the opportunity to create and bring to market many new and exciting innovations over the years to come.”
Walmart partnered with Green Dot in 2006 to create the Walmart MoneyCard, which offers FDIC-insured accounts and cash-back rewards on Walmart purchases, alongside other features, like early direct deposit, online bill pay, prize savings entries and more — as well as the usual set of features you’d have in a personal checking account, but without the fees. It’s now the largest retailer exclusive prepaid account program in the U.S.
In many ways, it was also a precursor to the sort of mobile banking startups seen today, which directly target consumers with similar products.
This is a busy space these days, as more companies go after the growing market of millennials (and even their younger Gen Z counterparts) who don’t want a traditional bank. Instead, they want banking services in a modern, easy-to-use mobile interface, where innovative features help them to better save and manage their money.
Just last week, for example, mobile banking app Current snagged $20 million more in funding for its service, now used by half a million users. Others in the space include Step, Cleo, N26, Chime, Simple and Stash, to name a few.
The new accelerator is seemingly poised to capitalize on this trend, while also giving Walmart and Green Dot a new foothold in the market.
“Over the years, Walmart has brought to market many innovative industry-defining financial services offerings to serve our customers – including several introduced through the Walmart MoneyCard program managed by Green Dot,” noted Daniel Eckert, senior vice president, Walmart Services and Digital Acceleration, in an announcement. “With this expanded relationship, and by leveraging Walmart’s footprint and existing offerings with Green Dot’s cutting-edge capabilities, we’ll be uniquely positioned to offer an unmatched set of customer experiences that sit at the nexus of omni-channel retail and tech-enabled financial services,” he said.
The new agreement between Green Dot and Walmart begins January 1, 2020 and will replace the agreement that would have otherwise expired in May 2020.
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What we can learn from DTC success with TV ads
Kevin Krim is EDO‘s President & CEO. His 21-year career has spanned search, social and TV advertising across start-ups and major companies like Yahoo and NBCUniversal. Sebastian Chiu is EDO‘s Chief Data Scientist. He earned his undergraduate and post-graduate degrees from Harvard, working previously as a data scientist at Dropbox.
One of the most-discussed plot twists in recent advertising has been the pivot of Direct-to-Consumer (DTC) brands to linear TV. These data-driven, digital-first players are expanding well beyond Facebook and Instagram—and becoming serious players on the largest traditional medium in advertising.
A January 2019 Video Advertising Bureau study found that in 2018, 120 DTC brands collectively spent over $2 billion in TV ads—up from $1.1 B in 2016. 70 of those 2018 advertisers ran TV ads for the first time.
But while we know that they’re advertising on TV, what may be less discussed is whether they’re succeeding on television—and what strategies they use to achieve their success.
At EDO, we have a unique and differentiated ability to measure how DTC advertisers perform on TV by tracking incremental online searches above baseline in the minutes immediately following individual TV ad airings as viewers translate their interest in advertised brands and products directly into online engagement with them.
By measuring incremental search activity across 60 million national TV ad airings since 2015, we are able to effectively isolate the effects of TV ad placement and creative decisions that are most likely to cause online engagement.
We ran the numbers on DTCs as well as advertisers in various other categories to better understand how DTCs specifically are succeeding in TV ads—and what DTCs who are considering TV advertising can do to achieve success on TV.
Table of Contents
- Does the David vs Goliath story play out on TV?
- Is there a newcomer advantage on TV?
- How does the DTC marketing playbook translate to TV? (A brief history and how-to, plus a Casper mini-case study)
- Conclusion: 3 keys to DTC TV success
Does the David vs. Goliath story play out on TV?
The DTC revolution is a quintessential David and Goliath story. In vertical after vertical, small, digital-native upstarts are changing the game and overtaking major brands. Does that story play out on TV as well—or is TV advertising one area where DTC marketers have finally met their match?
To answer that question, EDO looked at how effectively TV ads elicited viewer activity since September 2018 across eight major industry categories including DTC. Guided by historical ad performance across billions of ads, we rated ad performance based on how closely the DTC ads came to meeting the benchmark volume of brand-related online activity in the minutes following each TV ad airing.
We index each industry accordingly—giving an index value of 100 to an ad that meets benchmark standards, and below-par ads getting a score under 100 while higher-scoring ads receive a score over 100. We chose to set our index baseline of 100 to the average Consumer Packaged Good (CPG) ad since it is such a large and broad ad category. Our results are as follows:
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Colombian point-of-sale lender ADDI nabs $12.5 million from Andreessen Horowitz
Andreessen Horowitz <3 Latin American startups.
Latin America is the only region outside of the U.S. where the venture firm is routinely investing capital, and it just made another commitment, doubling down on its early-stage support for the point-of-sale lending startup ADDI.
ADDI picked up $12.5 million in new financing in April of this year as the company looks to expand its lending services online.
For an American audience, the closest corollary to what ADDI is up to is likely Affirm, the point-of-sale lender that’s raised a ton of cash and come in for some (valid) criticism for its basic business model.
Like Affirm, ADDI lets its borrowers apply for credit at the moment of purchase. The company likens its service to the layaway and credit plans that already exist in Colombia — but involve pretty onerous requirements to use. Company co-founder Santiago Suarez and Andreessen Horowitz general partner Angela Strange both commented on how, in some cases, Colombian shoppers have to have three people vouch for a borrower before a store will issue credit or agree to a layaway plan.
The difference between an ADDI loan — or any loan — and layaway is that an installment payment plan doesn’t charge interest (and even with the fees that installment plans do charge, they are often still cheaper than taking out a loan).
But financial products are coming for consumers in Latin America whether those buyers like it or not — and for the most part, it seems they do like it.
Historically, only the wealthiest clientele in Latin America received anything resembling the kinds of financial products that are more widely available in the United States, according to Strange. And the investment in ADDI is just part of her firm’s thesis in trying to make more services more broadly available in a region where a technological transformation is creating unprecedented opportunities for challengers.
That assessment is what drew Santiago Suarez back to Latin America only two years ago. A former executive at Lending Club who previously had worked as the head of New Product Development and Emerging Services at J.P. Morgan, Suarez saw the tremendous growth happening in Latin America and returned to Colombia to see if he could bring some much needed services to his home country.
Suarez partnered with his childhood friend, Elmer Ortega, who was working as the chief technology officer of the local hedge fund where he had previously been employed as a derivatives trader before learning how to code.
Together, the two men, who had known each other since they were five years old, set out to transform how credit was offered in retail shops. It’s an industry that Suarez had known well since his parents had owned stores.
“In the U.S. there are all of these gaps that fintech companies are filling,” says Suarez. “But the gaps in Latin America are bigger.”
Suarez and Ortega incorporated the company in September 2018, around the same time they raised $2.3 million from the regional investment firm, Monashees, Andreessen and Village Global . They then raised another $1.5 million in an internal round of financing before closing the most recent funding.
The company offers loans at annual percentage rates ranging from 19.99% to 28.90%. The company started with a digital solution for brick and mortar retailers because 90% of retail in Colombia still happens offline.
Although it’s in its early days, the company has already originated 10,000 borrowers and typically loans out roughly $500 since it launched on February 22, according to Suarez. He declined to comment on the company’s default rate on loans.
Now with 40 employees on staff, the company is looking to bring its lending tool to more e-commerce and physical retailers, according to Suarez. And despite the threat of cyclical political turmoil, Suarez says there’s no better time to be investing in Colombia.
“It’s the most stable country outside of Chile… Way more stable than Brazil, way more stable than Argentina and way more stable than Mexico,” Suarez says. “What we’re looking at is more than cyclical instability… those things go beyond that. Nubank was able to build a multibillion business in the worst political and economic crisis in Brazil’s history. I think Colombia is an incredibly attractive space with a deep talent pool.”
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IDC: Asia-Pacific spending on AI systems will reach $5.5 billion this year, up 80% from 2018
Spending on artificial intelligence systems in the Asia-Pacific region is expected to reach $5.5 billion this year, an almost 80% increase over 2018, driven by businesses in China and the retail industry, according to IDC. In a new report, the research firm also said it expects AI spending to climb at a compound annual growth rate of 50% from 2018 to 2022, reaching a total of $15.06 billion in 2022.
This means AI spending growth in the Asia-Pacific region is expected to outpace the rest of the world over the next three years. In March, IDC forecast that worldwide spending on AI systems is expected to grow at a CAGR of 38% between 2018 to 2022.
Most of the growth will happen in China, which IDC says will account for nearly two-thirds of AI spending in the region, excluding Japan, in all forecast years. Spending on AI systems will be driven by retail, professional services and government industries.
Retail demand for AI-based tools will also lead growth in the rest of the region, as companies begin to rely on it more for merchandising, product recommendations, automated customer service and supply and logistics. While the banking industry’s AI spending trails behind retail, it will also begin adopting the tech for fraud analysis, program advisors, recommendations and customer service. IDC forecasts that this year, companies will invest almost $700 million in automated service agents. The next largest area for investment is sales process recommendations and automation, with $450 million expected, and intelligent process automation at more than $350 million.
The fastest-growing industries for AI spending are expected to be healthcare (growing at 60.2% CAGR) and process manufacturing (60.1% CAGR). In terms of infrastructure, IDC says spending on hardware, including servers and storage, will reach almost $7 billion in 2019, while spending on software is expected to grow at a five-year CAGR of 80%.
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Google Cloud takes aim at verticals starting with new set of tools for retailers
Google might not be Adobe or Salesforce, but it has a particular set of skills, which fit nicely with retailer requirements and can over time help improve the customer experience, even if that means just simply making sure the website or app is running, even on peak demand. Today, at Google Cloud Next, the company showed off a package of solutions as an example its vertical strategy.
Just this morning, the company announced a new phase of its partnership with Salesforce, where it’s using its contact center AI tools and chatbot technology in combination with Salesforce data to produce a product that plays to each company’s strengths and helps improve the customer service experience.
But Google didn’t stop with a high profile partnership. It has a few tricks of its own for retailers, starting with the classic retailer Black Friday kind of scenario. The easiest way to explain the value of cloud scaling is to look at a retail event like Black Friday when you know servers are going to be bombarded with traffic.
The cloud has always been good at scaling up for those kind of events, but it’s not perfect, as Amazon learned last year when it slowed down on Prime Day. Google wants to help companies avoid those kinds of disasters because a slow or down website translates into lots of lost revenue.
The company offers eCommerce Hosting, designed specifically for online retailers, and it is offering a special premium program, so retailers get “white glove treatment with technical architecture reviews and peak season operations support…” according to the company. In other words, it wants to help these companies avoid disastrous, money-losing results when a site goes down due to demand.
In addition, Google is offering real-time inventory tools, so customers and clerks can know exactly what stock is on hand, and it’s applying its AI expertise to this, as well with tools like Google Contact Center AI solution to help deliver better customer service experiences or Cloud Vision technology to help customers point their cameras at a product and see similar or related products. They also offer Recommendations AI, a tool, that says, if you bought these things, you might like this too, among other tools.
The company counts retail customers like Shopify and Ikea. In addition, the company is working with SI partners like Accenture, CapGemini and Deloitte and software partners like Salesforce, SAP and Tableau.
All of this is about creating a set of services created specifically for a given vertical to help that industry take advantage of the cloud. It’s one more way for Google Cloud to bring solutions to market and help increase its marketshare.
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