I thought it was about time that I made the “
Ultimate Guide to SBW” and consolidated months of research and analysis into one comprehensive post. Then we can add bits to it from there as more positive news develops.
Let us start with capital structure.
Capital Structure and Why This Is Important!There are currently
139 million shares on issue, sitting at a price of
32 cents.
This gives a
Market Capitalization of approximately
~45 million AUD.
Keep this in mind when we discuss partners and peers later - it’s arguably a more important metric than share price.
The
Top 20 shareholders of SBW (which includes key management as the Top 2 holders) have about
90% of the stock on issue. The interests of management are well-aligned with shareholders.
What does this mean in plain English? It means management are extremely incentivized to perform, and are not just idly sitting by collecting an easy paycheck like so many other ASX companies. They have as much at stake as you do! Probably more.
The Core BusinessThe core business is a profitable operation which has been selling weighing systems to both retail and healthcare sectors – with reliable recurring revenue from customers including, but not limited to, household names like Toshiba and Fujitsu.
SBW have a combination of weighing + artificial intelligence + advanced mathematics which cannot be easily duplicated. The company was first founded in 1971 and was one of the first to shift from mechanical to digital weighing and ultra-thin IoT load sensors.
View attachment 2471960View attachment 2471963If you are interested in reading up on some of their patents, please see this link:
https://patents.justia.com/search?q=Shekel scalesI found 11 separate patents here, which are probably not an exhaustive list, but ranging from weighing vehicles in motion, to load cell devices (this is the flagship technology), point of sale apparatus and infant weight systems (for their medical customers)
SBW's three main technology pillars, including
patented ultra-thin high precision load sensors, can distinguish between Coke, Fanta & Pepsi -
even if they are all in 1.5 litre bottles!View attachment 2471966The Hitachi Project (Hitachi’s Market Cap = roughly ~33 billion USD at time of writing, SBW = ~45 million AUD)View attachment 2471975http://hlds.co.jp/product-eng/1079[
Translated from Japanese] Hitachi-LG Data Storage. Inc. exhibited in “NRF 2020 Retail’s Big Show” which took place at Jacob K. Javits Convention Center in New York from 1/12-1/14/2020, where Unmanned Store solution using 3D LiDAR(TOF) was jointly exhibited with Hitachi America, Hitachi Vantara, and Shekel Brainweigh (Israel).
Some quotes I found from Hitachi themselves“Micro-markets are the fastest growing segment of convenience shopping. We see them exploding in high traffic areas, such as workplaces, campuses, train stations and airports,” said
Hideki Hayashi, Sales and Marketing Manager, Hitachi EU Ltd. “Deploying the joint Shekel-Hitachi solution enables retailers and micro-market operators to provide the 24/7 frictionless shopping experience consumers demand without sacrificing accuracy, performance or profitability.”“As the manager responsible for LiDAR products in EMEA markets, I consider the R&D and commercial collaboration with Shekel Brainweigh to be the perfect partnership as we both bring our respective capabilities to develop a seamless consumer shopping experience.
We are extremely pleased to collaborate with Shekel Brainweigh, which we believe is the best digital weighing technology developer globally."
“
The collaboration builds on our expertise in optical motion sensors, together with Shekel’s advanced Product Aware Technology, and further strengthens our commitment to overcome the challenges, and address the significant opportunities, in global retail store automation.”
https://www.youtube.com/watch?v=P-uxk2YcoqwThe Open Retail Initiativehttps://www.lfedge.org/2020/02/13/n...ensor-fusion-for-intelligent-loss-prevention/View attachment 2471978
View attachment 2471984For the one-year anniversary of ORI, six initiative members Edgify, Flooid,
Shekel and LF Edge members HP, IOTech and Intel inspired by the initiative,
worked together on a demo for the Intel booth that showcased the value of Real Time Sensor Fusion for a loss prevention use case at self-checkout. The retail environment has become incredibly complex. The latest technologies enable data-driven experiences and unlock business value like never before, yet there is still a lack of interoperability making it difficult for retailers to deploy integrated solutions with speed and ease. The demo illustrates how integration roadblocks can be a thing of the past.
The demo pulls together real time data through the EdgeX middleware from different common systems including POS real-time transaction log, CV-based object detection, scale solution, and RFID, and data fusion—all in a single pane of glass.
Here are some PowerPoint slides of IBM, Intel & Hewlett-Packard talking about the joint solution
https://wiki.edgexfoundry.org/downl...amp;modificationDate=1579904283000&api=v2The Fast Track Projecthttps://www.edgify.ai/retail/- Reduce time at till and selection at self-checkout by up to 98%. Computer vision-based product recognition, that continuously learns directly on the till, so the accuracy of the detection always increases.
- Friction-less stores are great in theory but extremely complicated to scale in practice. Our edge training solution makes autonomous stores scalable, by having all the AI train directly on the camera. No infrastructure costs and no added complications.
- Reduce incorrect selections by up to 90%. Either intentional or unintentional, use computer vision that is trained directly on the SCO itself to reduce loss by more than half!
View attachment 2471987https://twitter.com/Edgify_AI/status/1277859718413930505https://twitter.com/Edgify_AI/status/1230534216133332997Shekel’s Visual Recognition Platform embedded with Edgify’s machine-learning training framework is the world’s first cloudless software that automatically recognises products, including fresh produce, at a retail self-checkout.
This ~45 million AUD Market Cap company allows retailers to potentially bypass expensive cloud services from Microsoft, Google and Amazon.
Sending data to the cloud is a very costly process with the Google Cloud Platform charging 1,000 stores more than US$7.2 million in cloud computing power per annum.
https://www.youtube.com/watch?v=FrpZ56IdFtghttps://www.youtube.com/watch?v=lpqwqQ1tJ4AYou can see the Shekel system 35 seconds in.
Patnership with Madix (2nd Largest Retail Shelves Manufacturer in NA)https://www.bloomberg.com/press-rel...ade-product-aware-cabinets-to-retail-industryNEW YORK -- January 13, 2020
Madix Inc., the second largest retail shelves manufacturer in North America, and Shekel Brainweigh Ltd. (ASX: SBW), the leader in advanced weighing technology, today announced the availability of ready-made Product Aware shelves and solutions for the retail industry.
“
By seamlessly integrating Product Aware shelves into our hardware, our customers are armed with accessible data giving them reliable inventory visibility and assisting them in addressing over-stock and out-of-stock problems, as well as better control over shrinkage” said
Steve Kramer, VP Sales, Madix.“For the retail industry, this is a defined competitive edge that promotes the opportunity to increase profitability.”
ConclusionSo, remember - the core scales business is what drives the revenue we see today, but the innovation division is where the real potential resides. That will take a few more months/years to play out. I think most people are buying for the fully autonomous frictionless retail technology which comes with a huge addressable market. That’s still being undervalued in my humble opinion.
Considering there are quite a few ASX-listed tech companies with no revenue and over 100 million market cap (some even @ 1 billion market cap right now…
I don’t see why SBW couldn’t move past ~45m market cap in the near future.
