A book leaves a library shelf. A UHF RFID tag on the book responds to a reader without being touched or aligned with a scanner, and the loan is recorded without anyone typing.
A car turns into a parking zone. A tag on the vehicle connects to the sensor infrastructure installed across the zone, and the count of free spaces updates on a dashboard the driver will never see.
The two events have almost nothing in common. Altinteg built both, and the company’s argument is that the similarity sits underneath, in an order of decisions that has very little to do with which tags were bought.
The Portugal-based firm, known mainly for item-level traceability in food and FMCG supply chains, puts the claim plainly on its homepage. It does not start with a hardware catalog. It starts with the client’s reality, mapping how things move before anything is specified. Two deployments in its project archive test that claim to be useful, because neither involves food.
What a National Library Network Actually Tagged
The library project, dated October 2025 and still running, covered a national library environment where books and media assets move through borrowing, returns, audits, and collection management. The problem is recognizable to anyone who has run a warehouse. Assets are numerous, mobile, and frequently handled, so audits take too long, and staff spend time searching for items instead of supporting the people in front of them.
Altinteg applied UHF RFID tags to thousands of books and media assets and automated the check-in and check-out workflows. On top of that sits borrowing-frequency and circulation-time analysis, so the institution can see which parts of its collection actually move.
The figures attached to the project are targets rather than audited results, and the company presents them that way. Collection audits are designed to run 80 percent faster than manual scanning, with check-in and check-out times cut by half. Stock accuracy is to improve to 98 percent, and unnecessary handling actions are to fall by 25 percent, returning staff time to service work.
Strip away the subject matter, and a library has a stock-density problem: thousands of mobile units and no fast way to audit them. What changes is the currency of failure. A retailer with bad stock data writes off the product. A library with poor stock data sends someone home without what they came for.
What Changes When the Tracked Item Is a Car
The parking project, dated the same month and also ongoing, began from a different complaint. Drivers circle because they cannot see free spaces. Enforcement teams spend their time verifying what software should already know, while city officials plan demand without reliable data.
Altinteg connected vehicle-level RFID tags to sensor infrastructure in the parking zones, moved the readings over IoT and LTE connectivity, and fed dashboards covering availability, traffic density, average duration and peak demand. In pilot zones the company reports parking search time down 60 percent, bottlenecks in high-demand areas down 25 percent, enforcement productivity up 30 percent, and estimated CO2 from circling vehicles down 15 percent.
The tracked object changed completely. What did not change is the question being answered: whether a specific physical thing is where the system believes it is.
The Six Layers, and Why Hardware Comes Third
Altinteg describes its architecture in six numbered layers. Standards and governance come first, aligned to GS1. Digital identity is second, through serialization and item-level digital twins. Data carriers are third, covering printed labels, optical codes, and RFID, including sustainable and biodegradable tags. Detection infrastructure is fourth, followed by middleware that filters raw reads into an existing ERP, warehouse, or retail management system, and then an intelligence layer for forecasting and expiration.
The two project records do not map themselves onto that list, so the comparison needs care. What they do show is that the physical equipment was solved differently while the purpose was held. Books took UHF tags and automated circulation workflows. Vehicles took tags, zone sensors, and an LTE link. In both, the deliverable was not a reading. It was an operating picture of which items exist, where they are, and how often they move.
“We build practical, end-to-end systems that connect physical products with usable data in a way that works in real operations,” said Aliya Pogorelskaya, founder and CEO of Altinteg Technology Solutions.
That sequence explains the refusal to lead with a catalog. A carrier cannot be chosen until someone has decided what identity it carries, and that decision sits two layers higher. The company’s engagement model reflects this, with feasibility and return modeling as step two of five, before any deployment blueprint is drawn.
The hardware catalog is not the wrong document. It is the wrong first document. Two projects sharing no equipment, no sector, and no customer arrived at the same operating picture, which is a better argument for the method than either set of percentages. Whatever the tag turned out to be, the decision that mattered was made before anyone opened a price list.
