Cleaning spots

    Cleaning, mapped by Kepler

    Every surface that needs cleaning, found from a photo.

    Every surface that needs cleaning, found from a photo and turned into the checklists your team already runs.

    Cook line, from a photoKepler
    Surfaces to clean · 5
    • Cook line benchStainlessEach service
    • SplashbackTileEach service
    • Floor drainSteel grateDaily
    • Hood filtersStainlessWeekly
    • Fridge door sealsRubberWeekly
    Tight spots · 2
    • Between the fryer and the oven. Too narrow for a cloth. Pull the fryer out to clean behind it.
    • Under the pass shelf. Grease collects out of sight. Wipe the underside with the lamps off.

    Example data.

    See it work

    • Kepler lists every surface in a room that has to be cleaned: what it is made of, how hard it is, how often.
    • It flags the tight spots a cloth or a mop cannot reach, with a suggestion.
    • Generate a cleaning plan and it proposes checklists by how often each surface needs doing.
    • You review them. Each becomes a recurring checklist linked to that room.

    Kepler is part of oppiOS. It proposes. A person reviews before a checklist is created.

    • From one photo

      Point the phone. Get the surface list.

      Photograph the cook line and Kepler lists every surface in it that has to be cleaned. Each comes with what it is made of, how hard it is out of five and how often it needs doing.

    • The tight spots

      The gap the mop never reaches, flagged.

      Kepler marks the spots a cloth or a mop cannot get to, like the gap beside the fryer or under the low bench, and suggests how to get at them. Those are the places grease builds when nobody is looking.

    • The plan

      A plan by cadence, not a laminated sheet.

      Generate a cleaning plan and Kepler groups the surfaces into checklists by how often each one needs doing. You review them, and each becomes a recurring checklist tied to that room.

    How it works

    1. Photograph the room

      Take a photo of a room on a phone: the cook line, the dish bay, the coolroom.

    2. Read the list

      Kepler lists each surface with its material, a difficulty out of five and how often it needs cleaning.

    3. Generate the plan

      Kepler proposes checklists by cadence, with the tight spots and how to reach them.

    4. Review and create

      Change what you want, then create them. Each becomes a recurring checklist linked to that room.

    Questions.

    Does Kepler check that the cleaning was done?
    No. Kepler finds the surfaces and proposes the plan. Your team ticks off the checklist like any other checklist in oppiOS, and that is the record.
    Who decides what goes on the checklist?
    You do. Kepler proposes checklists from the photo, and a person reviews them before any is created. Change a cadence, cut a surface, add one it missed.
    What does the difficulty score mean?
    How hard a surface is to clean, out of five. It helps you put the hard jobs on the shifts that have time for them.

    Every kitchen has a manager. Now it has two.

    oppiPantry is in early access, on oppiOS.