How a facility operator replaced guesswork and fixed cleaning rounds with live restroom data — odor, leaks, soap, towels, waste, and footfall, all monitored 24/7. Built with Widgelix and the GreenMesh LoRaWAN Network Server, delivered by a local integration partner.

Restroom upkeep was reactive and inconsistent — driven by fixed rounds and manual checks instead of what was actually happening. Cleaning teams had no real visibility into usage, so low-traffic areas got over-checked while busy ones were missed.
Odor, leaks, soap, towels, waste, and footfall — all invisible without live data, and all driving complaints, waste, and wasted trips.
The result was a poor user experience, inefficient maintenance, and avoidable waste — all from a lack of live information.
A local integration partner deployed a multi-vendor sensor setup across the restroom areas — picking the right device per problem instead of forcing one product to do everything. All connected through the GreenMesh LoRaWAN Network Server, all managed in Widgelix.
Every sensor reports over LoRaWAN to the GreenMesh network layer, and Widgelix turns the raw data into operational decisions through dashboards, rules, and alerts. Instead of fixed assumptions, the team now acts on live conditions:
The value wasn't in the sensors — it was in how the whole system worked together. With Widgelix + GreenMesh LNS, the client got one platform for all restroom data, flexible multi-vendor sensor integration, real-time alerts instead of delayed manual discovery, and usage-based maintenance planning. Restroom upkeep stopped being a routine someone got to when they had time, and became a continuously monitored service.
“Easy to understand, useful from day one, and flexible enough to grow.”
If you manage offices, campuses, shopping centers, or other high-traffic facilities, smart restroom monitoring can lift hygiene, cut manual workload, and help your team respond to real issues faster. With Widgelix and the GreenMesh LoRaWAN Network Server, you can build a scalable solution using the right mix of sensors for each site.