IntelTagRFID

Frequently Asked Questions

FAQ

Questions that Interest You

IntelTagRFID is a UHF-RFID textile tracking and laundry reconciliation platform. These are the questions we are asked most often about how the system works. Questions specific to your sector are answered on the relevant industry page.

What is IntelTagRFID?

IntelTagRFID is a UHF-RFID item-tracking platform for textiles — linen, garments, workwear and theatre scrubs. Every item carries an RFID tag; fixed and handheld readers at operational stations record each scan into a central database; and web dashboards, automated reports and messaging integrations turn those scans into operational visibility: what was dispatched, what was received, what is missing, what is wearing out, and what walked out the door.

How does an RFID laundry and linen tracking system work?

Tagged items are read automatically as they pass RFID stations placed at process points — issue, dirty receive, wash tunnels, packing, dispatch, stock-take and exit doors. Each read event lands in a central database, which powers dashboards and reports covering dispatch-versus-receive reconciliation, stock aging, wash counts, exit-point alerts and per-item history. No manual counting is required at the read points; handheld readers cover stock-takes and audits.

What kinds of reports does the system produce?

The platform produces interactive web dashboards plus automated documents: Excel workbooks covering exit monitoring, variance analysis, item audits, and stock age and wash reports; Word management reports with charts; PDF daily cycle reports; and self-contained HTML dashboards. Reports cover daily reconciliation, trend history, wash-life and procurement forecasting, condemned-stock tracking, stock-takes and exit-point loss.

Can reports be delivered automatically, without anyone logging in?

Yes. Scheduled jobs deliver reports by email, with daily and weekly runs in production, and by WhatsApp, where daily dispatch summaries and PDF reports are delivered in live use. Scheduling runs on standard task schedulers, so reports arrive on a fixed cadence — for example a daily loss-management workbook and an automated weekly variance report.

What is AI-interpreted reporting?

Dashboards and reports include plain-language narrative generated by an AI model from the aggregated RFID data: stock-aging analysis, usage analysis, procurement recommendations and an executive summary, badged as AI-interpreted. Only aggregate figures are sent to the model — no per-customer item records — and results are cached so identical data never triggers repeat processing. It turns raw counts into an action list a manager can read in two minutes.

Can multiple customers or properties securely share one reporting portal?

Yes. A single login portal scopes every user by laundry, company, customer and site, and shows each user only the dashboards and data they are entitled to. Tenant isolation goes down to the cache and page-source level, and out-of-scope drill-down requests are rejected server-side.

Can I see the full history of one specific tagged item?

Yes. The item audit trail merges every recorded event for a single tag — dispatch, receive, in-laundry movement, stock-take, exit-point, return and allocation scans — into one chronological timeline, with cycle analysis pairing each dispatch to its subsequent receive. It is used for dispute resolution and forensic investigation, and can be run for one item or a pasted batch of item codes.

What stations and hardware does a typical deployment include?

Deployments are built from a standard station catalogue: Data Take On, Issue, Dirty Receive, Exit Monitor, Heat Seal for tagging, Item Movement, Stock Take and handheld, Rewash, Mending and Packaging stations, plus exit-monitor controllers and handheld readers. The commercial model is station-based rental, typically on 36-month terms with tag rental, quoted in multiple currencies.

How long does it take to deploy at a new site? Is it repeatable?

The platform ships with versioned install kits and scripted installs — automated server setup with TLS and services configured, and installers that create the scheduled report tasks. New customers on the multi-tenant dashboards are onboarded by configuration rather than new code, which is why a new site does not require a development cycle.

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