Ellen DeGeneres, Portia de Rossi, Shaun White, Shawn Mendes get behind Shelf Engine

Shelf Engine’s mission to eliminate food waste in grocery retailers now has some additional celebrity backers. The company brought in a $2 million extension to its $41 million Series B announced in March.

Ellen DeGeneres, Portia de Rossi, Shaun White and Shawn Mendes are the new backers, who came in through a strategic round of funding alongside PLUS Capital to bring the Seattle-based company’s total funding to $60 million since the company’s inception in 2016. This includes a $12 million Series A from 2020.

Shelf Engine’s grocery order automation technology applies advanced statistical models and artificial intelligence to deliver accurate food order volume so that customers can reduce their food waste by as much as 32% while increasing gross margins and sales of more than 50%. The company has already helped retailers divert 1 million pounds of food waste from landfills, Stefan Kalb, co-founder and CEO of Shelf Engine, told TechCrunch.

“We’ve had phenomenal growth last year, some of it from our mid-market customers, but mostly from customers like Target and Kroger,” Kalb said. “Our other big news is that we hired a president (Kane McCord) in the past six weeks, which is cool to have the reinforcement on the leadership side.”

Over the past 12 months, the company, which works with retailers like Kroger, Whole Foods and Compass Group, saw over 540% revenue growth. At the same time, it grew its employees to 200 from 23, Kalb said. He expects to more than double Shelf Engine’s headcount over the next 12 months.

As a result, the new funding will be used to scale with current customers and accelerate further investment in R&D of its AI systems and automation capabilities.

Meanwhile, Amanda Groves, partner at PLUS Capital, said her firm works with about 65 individuals who are in film, television, sports and culture, including the four new investors in Shelf Engine.

She says many of her clients are looking to participate in business as an investor or with sweat equity. Her firm works with them to determine interests and will then source opportunities and invest alongside them.

Shelf Engine fits into one of PLUS Capital’s core investment areas of sustainability. The firm looks across different sectors like food, energy, apparel, packaging and recycling. Shelf Engine’s approach of leveraging technology to aid in sustainability efforts was attractive to all of the investors, as was their method of scaling within grocery clients without affecting consumer behavior.

“When Shelf Engine is installed in the grocery store, they can reduce spoilage by 10% right off the bat — that immediacy of the impact was what got our clients excited,” Groves added.

One of Shelf Engine’s first celebrity investors was Joe Montana, and Kalb said partnering with celebrities enables the company’s mission to eliminate food waste and address the climate crisis to be made more aware.

“B2B software is not as glamorous, but the climate has become a big issue and something many celebrities care about,” he added. “Shawn Mendes has over 60 million followers, so for him to share about this issue is extremely meaningful. Where he invests will lead to his followers knocking on the doors of stores and saying ‘this matters to me.’ That is the strategy shift from B2B to a movement for our community.”

The company is not alone in tackling food waste, which globally each year amounts to $1.3 trillion. For example, Apeel, OLIO, Imperfect Foods, Mori and Phood Solutions are all working to improve the food supply chain and have attracted venture dollars in the past year to go after that mission.

Shelf Engine is already in over 3,000 stores nationwide in the areas of grocery, food service and convenience stores, which “is a large lift from 18 months ago,” Kalb said. Next up, the company is progressing to open new categories and managing more projects. He is specifically looking at what the company can manage in the store and manage for the customer.

“We are getting to the point where we can manage more of the store in complex categories like meat, seafood and deli that are mainly custom,” he added.


By Christine Hall

Standard Cognition raises another $5.5M to create a cashier-less checkout experience

As Amazon looks to increasingly expand its cashier-less grocery stories — called Amazon Go – across different regions, there’s at least one startup hoping to end up everywhere else beyond Amazon’s empire.

Standard Cognition aims to help businesses create that kind of checkout experience based on machine vision, using image recognition to figure out that a specific person is picking up and walking out the door with a bag of Cheetos. The company said it’s raised an additional $5.5 million in a round in what the company is calling a seed round extension from CRV. The play here is, like many startups, to create something that a massive company is going after — like image recognition for cashier-less checkouts — for the long tail businesses rather than locking them into a single ecosystem.

Standard Cognition works with security cameras that have a bit more power than typical cameras to identify people that walk into a store. Those customers use an app, and the camera identifies everything they are carrying and bills them as they exit the store. The company has said it works to anonymize that data, so there isn’t any kind of product tracking that might chase you around the Internet that you might find on other platforms.

“The platform is built at this point – we are now focused on releasing the platform to each retail partner that signs on with us,” Michael Suswal, Co-founder and COO said. “Most of the surprises coming our way come from learning about how each retailer prefers to run their operations and store experiences. They are all a little different and require us to be flexible with how we deploy.”

It’s a toolkit that makes sense for both larger and smaller retailers, especially as the actual technology to install cameras or other devices that can get high-quality video or have more processing power goes down over time. Baking that into smaller retailers or mom-and-pop stores could help them get more foot traffic or make it easier to keep tabs on what kind of inventory is most popular or selling out more quickly. It offers an opportunity to have an added layer of data about how their store works, which could be increasingly important over time as something like Amazon looks to start taking over the grocery experience with stores like Amazon Go or its massive acquisition of Whole Foods.

“While we save no personal data in the cloud, and the system is built for privacy (no facial recognition among other safety features that come with being a non-cloud solution), we do use the internet for a couple of things,” Suswal said. “One of those things is to update our models and push them fleet wide. This is not a data push. It is light and allows us to make updates to models and add new features. We refer to it as the Tesla model, inspired by the way a driver can have a new feature when they wake up in the morning. We are also able to offer cross-store analytics to the retailer using the cloud, but no personal data is ever stored there.”

It’s thanks to advances in machine learning — and the frameworks and hardware that support it — that have made this kind of technology easier to build for smaller companies. Already there are other companies that look to be third-party providers for popular applications like voice recognition (think SoundHound) or machine vision (think Clarifai). All of those aim to be an option outside of whatever options larger companies might have like Alexa. It also means there is probably going to be a land grab and that there will be other interpretations of what the cashier-less checkout experience looks like, but Standard Cognition is hoping it’ll be able to get into enough stores to be an actual challenger to Amazon Go.


By Matthew Lynley