RE:RE:RE:What's with this stock?Hi enthusiast1,
I generally agree with your analysis. Markets are turbulent, but ...
About Craves and Pounce I like to add some thoughts and remarks.
I believe Craves must have already been in the last phase of development, when they bought Pounce and that they bought Pounce to get a grip on a development detail of the (Pounce) software to use it in Craves or to avoid patent problems or to get a grip on the Pounce customer- and user base. I also believe, that both products will merge into one with the best technology and reliability of both combined.
And I believe, that this is only the beginning of what they could do with their technology.
Knowing a bit about software development here is what I think/speculate about the process behind the development and deployment of their products.
Slyce's (and Pounce’s) obvious expertise is pattern recognition. The software algorithms involved are highly abstract and can be used to identify many different objects in the real world, just like our human brain is able to identify things. Google, Facebook, Apple and others are using pattern recognition algorithms to identify faces in pictures, Camera producers use them to do this even realtime, when taking the picture and Car producers use it realtime to identify traffic signs and traffic situations in their driver support systems. Obviously all these functions are specialized for the purpose they have been developed but want I to point out is, that there is a mutual technological background. Autonomously driving cars or robots (see “Boston Dynamics”) need to identity all kinds of objects from all possible angles in the real world and their pattern recognition is broader.
Pattern recognition roughly spoken brakes down the appearance of an object/item to some mathematically describable parameters (patterns) that are compared with parameters of an object/item in a (learning) database. As a result the algorithm delivers a list of items, that match all or most of the parameters. A filter is needed to drop all results in the list that have no sufficient “matching degree”. If a new, so far unknown item is “seen”, it must be defined, classified and made known to the database and from that moment the algorithm has a knew known item to match.
Slyce’s business idea in first place is to use the technology for consumer shopping.
Instead of first coming up with an own app, they decided to deliver the technology (as I assume) in a framework of modules with interfaces for implementation in existing shopping apps, e.g. for home-depot, toys-r-us, Neiman Marcus and others.
It must have taken some time to convince these companies to implement the technology in their proprietary Apps and to load the database with the items of the company. The benefit of the strategy is obvious: they used the marketing force of these companies and the already existing customer base with shopping-apps of the companies already in use.
Additionally, they developed an own shopping app (Craves) and now, after having big names as their clients already, convinced other companies to allow shopping of their products by using a “foreign” shopping app. Again, they had to load and classify all the items of those companies in their pattern database.
Conclusion: I believe that Slyce and BIG (“Business Instincts Group”, https://businessinstincts.ca) are well aware of the effect of cannibalizing a product in the market and that they had very good reason to spend money on Pounce.
I think the potential of the technology is huge and we see just the beginning. They made clever steps to start making money with it already. Investments still exceed revenues but that is only natural at that point of the development. But revenues are not only derived from fashion; think of home depot and toys-r-us. I see the potential, that in a couple of years it will be possible to buy almost everything with one of their apps or the apps of their clients with their technology implemented.
And what is sold best at a stock exchange?
Visions and future success!
You only have to explain them to investors so they understand them. I think this is the key for a higher price for Slyce shares.