Case study · client build · in beta

Remme.ai
location-aware
inventory reminders.

A smart inventory tracker that fires reminders when you're physically near the place that solves them — "you're at the hardware store; you said you needed bolts." In beta. Full case study writing in progress.

In beta   Full write-up: in progress

What Remme does.

Reminders that fire based on where you are, not when. Note "I need bolts" — Remme remembers the note and tags it to the category "hardware store." Next time you cross a geofence around a hardware store, your phone pings with the note. Same for groceries, pharmacies, electronics, anywhere else inventory lives in the world.

Coming in the full case study

The geofencing architecture, the battery-life tradeoffs, the iOS/Android background-task differences, and the category-classification model that maps "bolts" to "hardware store" without making the user pick from a list.

// section in progress · case study lands once beta wraps

The challenge (TBD)

[TODO: time-based reminders fire when you're not where you can act on them. Location-based reminders exist but require manual location tagging.]

The approach (TBD)

[TODO: AI category classification, native geofence APIs, the privacy posture that keeps location data on-device.]

The results (TBD)

[TODO: beta cohort, completion rate on geofence-triggered reminders vs time-based, battery impact numbers.]