Startups

Nexite raises $67M for its new approach to tagging and tracking merchandise in physical stores

Comment

Image Credits: Nexite

When it comes to commerce innovation, physical retail often feels like it gets the short end of the development stick against newer, faster-growing, more quantifiable (and still far from perfect) digital channels. But physical retail is far from disappearing altogether, and today a company that’s built a solution very specifically targeted at improving data around in-person merchandise sales is announcing a big round of funding as it moves ahead on some major rollouts it has inked with retailers — a sign of how things are changing, and the appetite that the market has for that.

Nexite, which has developed a radio-powered tagging system and corresponding data platform to read and parse information related to those tagged items, has raised $67 million in a Series C round of funding, and $100 million overall, money that it plans to use both for R&D as well as to roll out services to its first customers.

“We solve our customer’s biggest pain point, which is a lack of real-time data in physical stores,” Anat Shakedd, the CEO who co-founded the Tel Aviv-based company with her husband Lior, said in an interview. She describes Nexite’s solution as the “only tech in the market” that doesn’t require a battery to be able to transmit substantial data at a long range.

This latest tranche of money has been co-led by Pitango Growth and Saban Ventures, with previous backers Battery Ventures, Intel Capital, Pitango First and Vertex Ventures also participating. Prior to this Series C, Nexite has been relatively under the radar while working on its technology and deals with its first customers.

PitchBook notes that with this round, before it was fully closed and only at $53 million, Nexite’s valuation was just over $340 million. Now with the Series C at $67 million, that would give the startup a post-money valuation of just under $356 million. The company declined to comment on the figure when asked but a separate, reliable source said it’s actually just under $500 million.

Nexite’s early customer list speaks to a strong start in selling its concept and product to the market. Shakedd said that the startup has two major retailers signed up with “full roll-out agreements” that will cover more than 1,000 stores and 80 million tags on items annually when they are implemented. She added that Nexite has further signed agreements with “four of the largest retailers in the world” — no names disclosed — that are in different phases of development, and is having discussions with 20 other large retailers.

The gap in the market that Nexite has been targeting is that physical retailers today operate in a kind of data desert — they set out items and sell them, hope for success, and have often huge amounts of stock that doesn’t sell; it’s a lot of trial and error with a few bits of observation and historical data thrown in to understand why — and yet by being physical locations they are essentially sitting on a mother lode of useful data if they can tap into it better.

Retail stores are like a black box,” Shakedd said. “Other than sales, they have no data at all. Now they are looking for that.”

Nexite has developed a tagging system that is attached to individual pieces of merchandise, as well as a network of radio nodes (via Bluetooth beacons) that can be set up in a store to pick up the item’s movement and how one item might be moved at the same time as another. These tags can either be incorporated into a clothing label at the point of manufacturing, or a retailer can attach them by way of a sticker after that point. They are no bigger than “washing instruction labels”, Shakedd said. The tags can transmit their data as far as 10 meters but more typically seven meters — a distance that the company is working on extending so that even less nodes need to be used.

In the way that Shakedd described it to me, the system sounds somewhat like more versatile and functional RFID; RFID on steroids, in a sense. The tags track not only where an item happens to be in real time, but where it has moved over time, and what it has been moved around with (for example, if someone picks a top to try on with a certain pair of trousers). Data from the tags is processed in the cloud, making the tags themselves efficient when it comes to energy consumption: they are powered by radio waves coming from the beacons.

And because the system is based on existing radio standards, they also work with the gates that retailers already have in place to track when someone takes an item out of the store without the radio tag getting removed (eg in the case of shoplifting, or an error at checkout); this means that they also potentially replace those more clunky radio tags.

This also means that the tags can be used in a contactless-checkout “just walk out” type purchasing flow. One advantage that using these tags would have in a contactless checkout environment over other technologies that are being developed is that Nexite’s tags do not rely on any camera technology: this makes them not only cheaper to implement but more functional, since camera-based “just walk out” tech couldn’t be used for, say, tracking how clothing items can be tried on.

Then, after an item is sold, the idea is that the tag can continue to “live” in the form of an app that a customer can opt into, to get more information about that item, other related items that the retailer or brand is selling, and other related information. That, too, potentially becomes another source of after-sales data for the retailers, information they’ve had almost zero access to before now.

There are some potential hiccups in Nexite getting its business to fly. If incorporating the tags at manufacturing is the ideal, then that means getting a lot of other stakeholders signed on to the idea and proving to all of them that it’s worth their time and investment to bring in this extra step into the process. There is also the issue of these tags perhaps being too powerful: Shakedd emphasized that people needed to opt in to continue getting data from the tags after a purchase, but some will inevitably see this as more big-brother-style tracking, when all they really hope for by shopping in person is to get away from that massive data specter.

And finally, there is a big question of how and if retailers have the infrastructure in place to run with whatever data they do amass: real-time is only effective if you have teams in plance, and IT in place, to parse and read that data and action it. Digital transformation has definitely become a catchphrase of the day, but that doesn’t mean that every company is ready to go through with it, or will be successful in actually implementing it.

In any case, there are also a lot of possibilities of applying the tech that Nexite has built to a much wider range of IoT and other use cases — any scenarios where it’s now seen as useful to be able to track the movement and operation of of previously “unconnected” things.

“We went to retail first because they already tag everything, with 90% of items in categories like apparel already using security tags, so we didn’t need to educate them as much,” Shakedd said. “Also our overall solution is cheaper for their current needs than other solutions.” The Nexite system is priced based on full rollouts of beacons and the data platform managing it, with more or less tags around that nearly a negligible factor, she said.

“The continuous flow of data from merchandise reinvents physical retailing into live digital solutions. Nexite’s cutting-edge technology is gaining tremendous traction in the market,” said Isaac Hillel, managing partner at Pitango Growth, in a statement. “It’s clear that Nexite is creating a new, well-needed category, and we are excited to continue from our initial investment with Pitango First through to this latest round.”

“Continuous data flow from merchandise and the resultant analytics are transformational for retailers globally,” added Barak Pridor, managing partner at Saban Ventures. “Nexite’s cutting-edge solution is driving significant commercial results that have never been achieved before in this space. We are very proud to be joining this incredible team on its journey.”

More TechCrunch

Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

Motional cut about 550 employees, around 40%, in recent restructuring, sources say

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during its I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

Google Play preps a new full-screen app discovery feature and adds more developer tools

Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

Gemini on Android becomes more capable and works with Gmail, Messages, YouTube and more

Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

Google gets serious about AI-generated video at Google I/O 2024

In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

Gemini comes to Gmail to summarize, draft emails, and more

The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

Google is bringing Gemini capabilities to Google Maps Platform

Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

This is a great example of a company using generative AI to open its software to more users.

Google TalkBack will use Gemini to describe images for blind people

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

Google’s Circle to Search feature will now be able to solve more complex problems across psychics and math word problems. 

Circle to Search is now a better homework helper

People can now search using a video they upload combined with a text query to get an AI overview of the answers they need.

Google experiments with using video to search, thanks to Gemini AI

A search results page based on generative AI as its ranking mechanism will have wide-reaching consequences for online publishers.

Google will soon start using GenAI to organize some search results pages

Google has built a custom Gemini model for search to combine real-time information, Google’s ranking, long context and multimodal features.

Google is adding more AI to its search results

At its Google I/O developer conference, Google on Tuesday announced the next generation of its Tensor Processing Units (TPU) AI chips.

Google’s next-gen TPUs promise a 4.7x performance boost

Google is upgrading Gemini, its AI-powered chatbot, with features aimed at making the experience more ambient and contextually useful.

Google reveals plans for upgrading AI in the real world through Gemini Live at Google I/O 2024

Veo can generate few-seconds-long 1080p video clips given a text prompt.

Google’s image-generating AI gets an upgrade

At Google I/O, Google announced upgrades to Gemini 1.5 Pro, including a bigger context window. .

Google’s generative AI can now analyze hours of video

The AI upgrade will make finding the right content more intuitive and less of a manual search process.

Google Photos introduces an AI search feature, Ask Photos

Apple released new data about anti-fraud measures related to its operation of the iOS App Store on Tuesday morning, trumpeting a claim that it stopped over $7 billion in “potentially…

Apple touts stopping $1.8B in App Store fraud last year in latest pitch to developers

Online travel agency Expedia is testing an AI assistant that bolsters features like search, itinerary building, trip planning, and real-time travel updates.

Expedia starts testing AI-powered features for search and travel planning

Welcome to TechCrunch Fintech! This week, we look at the drama around TabaPay deciding to not buy Synapse’s assets, as well as stocks dropping for a couple of fintechs, Monzo raising…

Inside TabaPay’s drama-filled decision to abandon its plans to buy Synapse’s assets

The person who claimed to have stolen the physical addresses of 49 million Dell customers appears to have taken more data from a different Dell portal, TechCrunch has learned. The…

Threat actor scraped Dell support tickets, including customer phone numbers

If you write the words “cis” or “cisgender” on X, you might be served this full-screen message: “This post contains language that may be considered a slur by X and…

On Elon’s whim, X now treats ‘cisgender’ as a slur

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch the AI reveals live

Facebook once had big ambitions to be a major player in enterprise communication and productivity, but today the social network’s parent company Meta will be closing a very significant chapter…

Meta is shutting down Workplace, its enterprise communications business