This app disappeared from Google Play on 2026-11-02. Below is the last data we saved.
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installs
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first release
2026-06-04
last update
Description
Estimate indicative vehicle valeting effort and monthly upkeep locally.
RenseShine Valet Care is a calculation-first workbench for planning vehicle cleaning time and upkeep. Use it to estimate, adjust, and interpret an indicative range based on vehicle profile, condition, usage, and your finish goal, without needing to contact anyone.
FEATURES
- Estimate stepper (estimate → adjust → interpret)
Work through a clear 4-step flow that changes the model as you edit inputs, then see the result immediately.
- Vehicle profile setup
Choose a size/vehicle type band and cabin complexity, with options that reflect boot use and load space when relevant.
- Condition & contamination judgement (image-led)
Set exterior grime level, wheel dirt severity, and interior mess level, with aggravators for common dirt patterns such as pet hair, sand, crumbs, mud, staining, or odour concern.
- Usage and environment shaping
Pick typical weekly use and parking conditions, plus family/pet/work-heavy context cues and seasonal or road exposure factors that influence ongoing upkeep.
- Finish goal and attention priority
Select a refresh/maintenance/deeper recovery style goal and set practical focus for what you want to achieve, so the estimate reflects the finish level you’re aiming for.
- Indicative results dashboard (local and non-binding)
Review an indicative total time range, an effort allocation donut, a projection table for task groups, and a sensitivity strip showing what most affects the outcome. The app also provides upkeep guidance such as likely light-maintenance interval and an estimated monthly care load.
- Local variants, comparison, and exports
Save estimates on your device, duplicate as a variant, compare up to three local scenarios, and export a local summary. You can also jump back to edit any step.
Built for planning vehicle cleaning effort on your own terms, with all estimation and saved scenarios stored locally on your device.