Standard AI is a company that is equipping brick-and-mortar stores and their suppliers with the data they need to solve the hardest problems in physical retail: unlocking insights with unparalleled fidelity and precision about people, products, and interactions. Pulse 2.0 interviewed Standard AI CTO David Woollard to learn more about the company.
David Woollard’s Background
What is David Woollard’s background? Woollard said:
“I pursued a PhD in computer science from the University of Southern California, where I focused on software architectures for high-performance computing and scientific simulation. In parallel, I started my career at NASA’s Jet Propulsion Lab (JPL) in Pasadena, working primarily on large-scale data systems, including multiple Earth-observing satellite systems. After five years at NASA, I wanted to work with technology that more directly impacted everyday users and consumers.
I spent time building experiences and products in multimedia and for companies like Samsung. In those roles, I started thinking more about how technology could improve or tackle challenges we see in physical spaces. That interest led me to Standard AI where I’m now CTO.
It’s an exciting time at Standard AI as we shift the application of our AI tech stack to provide shopper behavior insights within a specific zone in a store.
Formation Of Standard AI
How did the idea for the company come together? Woollard shared:
“The idea for Standard AI started by asking how we can apply AI and computer vision technologies to transform the retail sector. Initially, we focused on building an autonomous checkout solution, wanting to give shoppers a unique and frictionless experience.”
“What we found while building this solution is that both shoppers and retailers aren’t quite ready for this on a mass-market scale. Given the existing technology stack of most retailers, running this compute-heavy workload onsite is a large capital investment and shopper adoption wasn’t as rapid as necessary, even as autonomous became synonymous with contactless during Covid.”
“In building a solution for autonomous checkout, we had to solve the myriad challenges of detecting interaction of people, products and zones with unparalleled precision. What is a simple task of distinguishing between someone purchasing a 8.4oz or 11oz can of Red Bull when scanning a barcode is actually a complex technical challenge when attempted based on video footage from a
ceiling-mounted camera.”
“Today, Standard AI’s Vision Analytics is giving retailers and their suppliers better understanding of modern consumer behavior from entrance to exit, in real-time and 3D space, using the same tech stack that we built for autonomous in a new application.
Favorite Memory
What has been your favorite memory working for the company so far? Woollard reflected:
“There have certainly been a number of great memories around company wins like store launches and performance breakthroughs, but my favorite memories of working at Standard involve our incredibly talented engineers and product folks showcasing their work in our Hack Days and at company events.”
“We recently returned from our annual all-company offsite where our Spatial Perception team demoed a prototype of a new semantic mapping algorithm built on Apple’s AVFoundation framework. One of our engineers mapped the conference room we were in in real-time with her phone and when she was finished, you could see how it captured people’s imaginations and really shifted the energy in the room. Celebrating the strength of our people is definitely my favorite memory.”
Core Products
What are the company’s core products and features? Woollard explained:
“The Standard AI Vision Analytics platform solves long-standing challenges retailers and brands face in lacking access to clear data and insights. Vision Analytics can understand and predict shopper behaviors in brick-and-mortar stores, including:
■ Traffic & Impressions: Detail on foot traffic patterns and shopper interactions allows for optimized store layouts and promotional strategies, and unprecedented insights for loss prevention.
■ Availability & Out-of-Stocks: Real-time, accurate information on low-stock and out-of-stock products minimizes lost sales opportunities and enhances shopper satisfaction. Our platform provides granular insights and can distinguish whether a customer purchased a 8.4 oz or 11 oz can of RedBull, and even down to a pack of gum.
■ Conversion Percentages and Sales: Track true conversion rates, sales performance and where shopper interactions occur to unlock even more operational efficiency.
■ Enhanced Merchandising Tests: Data-driven A/B tests evaluate the effectiveness of merchandising strategies, ensuring maximum impact on consumer behavior.
In recent studies, our Vision Analytics platform was able to predict shopper behaviors in response to physical changes to layout and merchandising with 90%+ accuracy and identify a loss prevention event within two days of installation.”
Challenges Faced
What challenges have Woollard and the team faced in building the company? Woollard acknowledged:
“Working to make autonomous checkout widely accepted and effective is an ambitious goal. It’s one of the most technically challenging problems to solve with a lot of hurdles, including high infrastructure and computing costs, as well as requiring consumers to change their behavior within a store. This was compounded by Covid, which necessitated quick shifts in retail priorities away from innovation to critical needs and solutions like touchless checkout systems.”
“We ultimately realized our technology stack could provide new value to stores and brands by shifting the application of our AI modeling and data capture. Throughout our work, we saw that retailers did not have the ability to understand or anticipate shopper behavior. And in most cases, partial, incomplete data around store operations leads to false conclusions and is potentially worse than no data at all. We saw a new opportunity to give retailers a clear view into the physical consumer experience that could be as transformative to retail as the rise of ecommerce.”
Evolution Of Standard AI’s Technology
How has the company’s technology evolved since launching? Woollard noted:
“Retail is one of the oldest, most established business sectors with origins dating back to the Industrial Revolution. There is a clear gap in retailer knowledge – knowledge that has the ability, if unlocked, to optimize in-person shopping experiences and maximize operations and bottom lines. Realizing this, we shifted our autonomous tech stack, built using advanced AI algorithms to analyze captured data and enable a precise understanding of shopper behavior, product interactions, and store dynamics, to be the foundation of all of our Vision products.”
“This technology has broad applications well beyond autonomous checkout, and when coupled with hardware like from our partners at Axis Communications orcompute power from our partners at Google Cloud, can provide powerful insights around physical spaces, people and products to retailers and brands that weren’t available before.”
Significant Milestones
What have been some of the company’s most significant milestones? Woollard cited:
“Under Jordan Fisher’s leadership, Standard AI has had a great number of significant technical milestones, including launching our first store to the public in 2018, retrofitting a partner’s pre-existing full-featured convenience store in 2021, and growing our fleet of autonomous stores.”
“With this pivot to Vision Analytics and with new leadership (as Angie Westbrock has stepped into the CEO roles and me as CTO), we’re excited to push even further the boundaries of what AI can do in retail. Angie has deep industry knowledge and experience that will help guide the company through this next phase of growth. It’s an exciting time for us!”
“We’re also proud of our partnerships with Axis Communications, Google Cloud, and Nvidia to build the infrastructure for the future of the retail industry.”
Customer Success Stories
After asking Woollard about customer success stories, he highlighted:
“Our platform’s flexibility allows us to tailor solutions that tackle our customers’ most pressing challenges, setting the stage for ongoing improvement and substantial ROI. Some examples include:
■ Over 70% of tobacco sales in the U.S. occur in convenience stores, and keeping track of this high-volume and high-margin product is paramount for the bottom line of these businesses. We partnered with a handful of convenience stores to prevent shrinkage at the checkout counter, specifically focusing on tobacco products. Leveraging our Vision platform, we created a highly effective zone monitoring tool that prevents tobacco products from ending up in the hands of minors thanks to stricter monitoring and more access control. Within two days of operating one site, we were able to detect employee theft of tobacco, illustrating how our powerful Vision platform can be leveraged for this purpose.
■ Another example is with fresh food displays in grocery stores. By installing our Vision platform in pre-packaged fresh foods areas, we can provide real-time insights on when fresh foods were stocked and how much fresh food has been sold or is leftover in hot and cold food areas.
One partner was able to make operational adjustments to their fresh foods program, stocking their shelves earlier to address morning demand more effectively without risking inefficiencies and food waste. At scale, this can significantly decrease the 16 billion pounds of food wasted every year and improve both grocers’ and suppliers’ bottom lines. A few cameras can either activate employees to restock to better convert transactions and improve customer satisfaction, or signal suppliers to adjust their operations to prevent fresh food waste.”
Total Addressable Market
What total addressable market (TAM) size is the company pursuing? Woollard assessed:
“Right now, we’re deeply focused on scaling our Vision Analytics platform to retailers of all sizes – from convenience to big box. Globally, brick and mortar retail sales topped $20 Trillion in 2023 and we feel poised to address most of that market with our technology.”
Differentiation From The Competition
What differentiates the company from its competition? Woollard affirmed:
“Different technology approaches– most recently AI-based point solutions for everything from auto-replenishment to in-store advertising – have been put forward as a quick-fix for updating physical retail, and the companies that supply their shelves, yet none have stuck or become truly ingrained in operations. What sets our Vision Analytics platform apart is our focus on combining strategic camera placement with advanced AI to map customer journeys in real-time and 3D, which is not commonly offered by other retail AI solutions. This tailored approach allows us to provide granular, actionable insights that are not available with other monitoring systems.”
“Additionally, my team is passionate about solving complex problems for the retail space from a privacy-first perspective – maintaining our steadfast commitment to providing shoppers with an excellent in-store experience without having to trade their personal information. With real-time insight into anonymized shopper flows and interactions, we can help stores improve their operations, offer brands previously undiscovered insight into in-store performance, and even make sales recommendations to shoppers based on their in-store actions, not who they are.”
Future Company Goals
What are some of the company’s future company goals? Woollard pointed out:
“We were founded in 2017 to solve the hardest problems in retail. In 2024, that mission remains the same, having developed a tech stack of unparalleled fidelity and precision to unlock the data of physical retail experiences. With the pivot comes a new roadmap, building and investing the resources required to meet the needs of that market opportunity and grow strategically.”
“Right now, we continue to invest in streamlining infrastructure and making algorithmic improvements that will allow us to drive more value to our retailers.
“Additionally, recent advances in our semantic mapping tools will allow us to make our already straightforward install process even easier. Overall, we plan to continue enhancing our Vision Analytics platform and refining our technology to provide even more precise insights for the retail space.”
Additional Thoughts
Any other topics you would like to discuss? Woollard concluded:
“One topic I believe is very important for retailers is AI education. With all the buzz around AI today, every boardroom, every earnings call, and every executive leadership meeting now involves questions like ‘What is your AI strategy? ‘A host of companies, both established and start-up, are taking advantage of this situation.
“While there have been amazing breakthroughs in AI, especially over the last two years, these breakthroughs don’t fundamentally change what it means to drive value and ROI for retailers. We believe that it is companies that have mastered both a deep understanding of retail and retail operations as well as understanding how to apply these technologies that will provide value to retailers and help them win in their market. Ultimately, it’s Standard’s mission to unlock the power of AI in the real world, elevating retail by delivering unparalleled insights into physical spaces.”
