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Temporary Accommodation, rebuilt around real-time data.
A Scottish authority running 600–700 TA properties was stuck in the same loop most teams know too well — postcards, lock changes, Housing Benefit clawbacks, and a portfolio that never sits still. Here's what changed.
Request the full case study →You don't manage a portfolio. You chase one.
600+ properties, all in motion. Tenants in. Tenants out. Officers driving across the patch to deliver postcards to units that may or may not be occupied. A six-day abandonment process that's reactive by design — you can't act on something until someone tells you it's happening, and by then you've already lost the week.
When Housing Benefit clawback risk is sat on top of an already-stretched team, the maths gets uncomfortable fast. This is the bit most TA managers know inside out, but rarely get the time, tools, or air cover to fix.
The same abandonment process, made shorter.
Toggle between the traditional process and the sensor-enabled version. The time saved isn't theoretical — it's verified across 2,500+ alerts in a single year.
What the data actually said.
A year of sensor data across the portfolio. No assumptions, no projections — these are the verified figures from the live deployment.
Run the numbers against your own portfolio.
Every percentage point of occupancy across a TA portfolio represents real Housing Benefit income. Move the sliders to see what improvement looks like for a portfolio your size.
Your portfolio
Defaults match the case study. Change them to model your own situation.
Pick a target. See what it pays back.
The case study modelled three target occupancy rates. The income curve is steeper than most TA teams realise — small percentage moves translate into seven-figure differences across a year.