VY.EcoSys = SME-2-SME personalized Recs and News Stream:
– Transform your data into Personalized Recs – Receive Personalized Recs via your Personalized News Strem
VY.EcoSys will organise the cooperation of the SME-2-SME ecosystem and secure the SME’s business secrets
All the (a) SME component manufactures, and (b) SME buyers of these components need to cooperate. But they don’t want to divulge their business secrets. SMEs may use VY.EcoSys to control their data and transform their data into Personalized Recs published via Personalized News Stream. The buyer-SME’s Personalized Recs will – if and when the buyer-SME wants to – as well be posted to the vendor-SME’s Personalized News Stream: recommending buyer’s demand to the supplier-SME; this is first. And second, posting the supplier-SME’s products/services to its customers Personalized News Stream. Sure, Personalized Recs and the Personalized News Stream will as well work with ‘headless’ e-commerce / publishing.
SME’s Ecosystem using VY.EcoSys
It’s not so easy for an SME’s online-shop to predict the demand of its customers. The latest trick of the trade is „headless“ online-shop design. That’s a good idea but for the „headless“ online-shop design to work well, the vendor is still missing the perfect prediction of the buyer’s future demand. For ecosystems, that prediction is the base of the cooperation. For that perfect prediction the buyer’s data are necessary.
Technically both, access to the data and the prediction is no problem. The future could be, to connect to the customer via AI-Agents using APIs or a browser. But in SME-2-SME ecosystems the buyer doesn’t want to divulge its data to the vendor. (Same thing on the next trading level – only then the vendor doesn’t want to divulge what he paid.) It’s unclear how the usual suspects, offering AI-Agents today, will protect the customer’s data.
With VY.EcoSys the buyer itself may transform its data on-device into that prediction and the corresponding Personalized Recs for the suitable vendors of the ecosystem and their offers. All of this without divulging its, the buyer’s, data to the vendors. Both, the potential buyer and the potential vendor will communicate via messages to their Personalized News Stream. This process will work first in competitive markets of component industries.
On device only: VY.EcoSys is the tool for organizing your Ecosystem
- Collect, store and control your data on-device,
- Analyze your data on-device using the fine-tuned specialized mini-STM (Smal Trade Model) trained with licensed data sets,
- Transforming the intelligence of your data on-device into your Personalized Recs…
- … your Personalized Recs to be published via the Personalized News Stream of the vendor…
- … Agentic AI may – if and when the SME wants to – turn the Personalized Rec into a done deal…
- … Personalized Recs will be paid for by the vendor with about 2.5% or 5.0% on turnover… using embedded banking…
- … the SME may use its earned ‘Rec-Dollars’ to pay for the industry’s Professional Journalistic Content (“Knowing what State-of-the-Art is!”) to be distributed via the Personalized News Stream…
Auto spare parts
like the starter, the brake, the battery are typical exampels. The spare parts procurement of independent workshops is not organized. Some suppliers – mostly Chinese – are a lot cheaper than the OEM. But how to know whom one can trust? Who is reliable? And how can the vendor predict the buyer’s future demand? The buyer doesn’t want to disclose its data. So, the buyer will transform its data into Personalized Recs published via the Personalized News Stream of the vendor.
Shipping, Payment, Warehouse
The vendor of components will inform the carrier as soon as the personalized recs turn into a done deal. The carrier will transform its data into recs for freight forwarders. The letter of credit will be processed by AI and stored on blockchain. The exact sales prediction and the exact shipping process will reduce the need fore warehousing…
ETFs and Neobanks
ETFs are bundling shares, bonds and equity into funds… just as easy to trade as commodity derivatives… the Neobank will execute the transaction… but the Neobank still don’t have access to the financial data of millions of ‘Gen Y’ customers… using VY.EcoSys, Established Banks can transform ‘Gen Y’ financial data into Personalized Recs about investments into ETFs… and than asking a Neobank to carry out the trade.
Creatives of the publishing industry: cooperate!
… journalists, ads, graphic design …
Home Building / Construction Industry
is made of thousands of SMEs for the assembly of prefab components on site. Many components are manufactured by SME businesses as well. But the sub-contractor will not divulge to the general contractor what he, the sub-contractor, paid for the components and the assembly on site.
Hotels, restaurants, cafes, pubs, and clubs
are typical SME businesses ….. the venue, the groceries, the cook and the waiter… how does the wholesaler predict the demand of the specific restaurant, cafe, pub, club? They don’t want to disclose their data to the wholesaler. So, the buyer will transform her data into its personalized recs published via the wholesaler’s Personalized News Stream.
Local Green Nutrition
The SMEs of Local Green Grocery Stores will team up with local green farmers for Local Green Nutrition. Both, the local farmer and the Local Green Grocery Store, will want to predict their future supply respectively their future demand. Using VY.EcoSys they will have the tool to match future supply and future demand. Sure, this will as well work internationally for growers of cotton, coffee and tea.
Trusted Third Party: AI-analyze SME-data:
The SME’s data are valuable because their data are their intelligence to be transformed into future solutions. Not every SME can afford a team of data-scientists to AI-analyze the SME’s data and transform that data into suitable Personalized Recs. But the SME will order its Trusted Third Party (TTP) to perform that task and the TTP will be using VY.EcoSys. TTPs will become a new kind of professionals. Professionals accountable to their clients only. Just like medical doctors, pharmacists, and lawyers. Neither the same lawyer works for both sides of the conflict nor does the same TTP.
The TTP will perform the data analytics using the SME’s mini-STM (Small Trade Model). A mini-STM is a derivative of a Large Trade Model (LTM) but trained on the industry’s licensed data sets and fine-tuned on the private data of the SME. Right, today international trade is still missing the Large Trade Model. But it’s coming soon.
Yvonne Parson
TTP and VY.EcoSys Expert
The SME’s local VY.EcoSys-Expert will work as the SME’s TTP accountable to its client, the SME, only. The VY.EcoSys-Expert will be happy to help the SME getting everybody on board of the SME’s VY.EcoSys: All the SME’s suppliers and all the SME’s customers. Building the SME’s frictionless VY.EcoSys!
On-device data-storage, AI-data-analytics made possible by Trusted Third Parties:
Decentralized!
Outlook: For SMEs, the formula of on-device data storage as well as on-device AI-data-analytics made possible by TTPs, licensed data sets and fine-tuned mini-SLMs will be applicable as well for Accountants, Legal Professionals, especially tax accountants and tax lawyers. Health Care will be organized by VY.EcoSys using today’s reality as a model: The patient will go to her General Practitioner (GP), who will as well act as the patient’s TTP. The GP will be using the Small Medical Model for analyzing the patient’s data on the GP’s device. Maybe the patient needs a (digital) med. pharm. prescription for the local pharmacy? Well, the GP will send her med. pharm. prescription to the pharmacy’s Personalized News Stream. These are only further examples, not a complete list. The precondition are the right Large Language Models of the many disciplines for the many Trusted Third Parties to work with.
The decentralized approach of on-device data storage as well as on-device AI-data-analytics will be the right solution to protect the intelligence of SMEs and to distribute artificial intelligence to SMEs. It’s the right approach, because then, everything the SME and its TTP will need, will be VY.EcoSys for the AI-management of its intelligence.
SMEs matter for every economy. Taking the United States as an example, SMEs are responsible for 39% of the U.S. value creation; in Germany it’s 42% and the EU average is 56%.
What will be right for SMEs is of course long standing practice of exchange traded PLCs / Corps: They manage their data storage and AI-analytics on-premise. Their transactions are done by Supply Chain Management and Procurement Software. Especially Banks are organized on-premise.
Imprint / Legal:
Published by: Virtual You Ecosystem UG, Spanische Allee 37, D-14129 Berlin / Handelsregister Amtsgericht Charlottenburg, Berlin, HRB 272125 B / Paul.R.Meyer@vyecosys.com, +49(0)176 666 36 299.