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OVME × BI Consulting Services

Studio Performance Board · Power BI concept
Prepared forDrew
EditionSeptember 2026
RefreshNightly from POS · 05:30 ET

Every studio, one morning read.

Revenue per studio, membership growth and churn, provider productivity, service mix and rebooking — built from the four POS tables every med-spa runs on, across 28 studios in 16 states1. Use the filters; every number on the page recalculates.

Studios 28
States 16
Membership tiers Maintain · Reset · Transform
Trend Tickets · Service lines

Monthly studio revenue by service line

InjectablesLaser & skinWellnessActive members (right axis)
Signature view Studio map

Studio footprint — sized by revenue, colored by rebooking rate

Rebooking rate
< 58%66%> 74%
Share of tickets with a next appointment booked at checkout.
Studio revenue (period)
small → large
Provider productivity Schedules · Tickets

Revenue per provider-hour, by studio

Booked provider hours from the schedule table; bar = revenue ÷ hours. Rose tick = network target.
Membership Memberships · Billing

Member joins vs. cancellations

Service mix Tickets · Line items

Where the ticket dollars go, by region

InjectablesLaser & skinWellness
Under the hood Data model

Four POS tables, one star schema

Whichever practice-management / POS system a studio group runs, the model is the same four facts joined on studio, provider, client and date. That is what makes rebooking, member churn and revenue-per-hour live on the same page.
TicketsClosed sales, line items, tips, product vs service
ticket_id · studio · provider · client · svc_line · net_$
AppointmentsBooked, arrived, no-show, and the next-visit flag that drives rebooking
appt_id · client · booked_at · status · next_appt
MembershipsTier, start, cancel, monthly billing events
member_id · tier · start · cancel · bill_$
Provider schedulesScheduled vs booked hours per provider per day
provider · studio · date · sched_hrs · booked_hrs
1 Anchor: ovme.com cites 28 studios across 16 states and 50,000+ clients; the 28 studios plotted are the ones named on ovme.com/locations (Sept 2026). Studio names, regions and membership tier names (Maintain, Reset, Transform) are taken from ovme.com. All revenue, membership, provider-hour and rebooking figures are illustrative demonstration data generated for this concept and are not OVME's results.
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Private AI on your own server

The "ask the data" panel above is built to run on a GPU server inside your own network: an open-weight model over your own documents, with every answer citing the file it came from. No per-seat licence, works offline, and nothing leaves the building.

How it sits in your environment

YOUR NETWORK · NOTHING LEAVES THE BUILDING Your files policies · SOPs · contracts reports · ERP exports indexed locally GPU One server, in your building open-weight model · your data only in seconds Cited answers every reply links to the source file and page no cloud AI · no third-party processor
One appliance-class server on your rack or in a secured closet. Your files are indexed where they already live; the model runs locally; answers come back with the source page attached.

What that means in practice

  1. 1
    Your data only, on your hardwareAn open model over your own documents and exports. No third-party AI processor, no data-transfer agreement to review.
  2. 2
    Every answer cites its sourceReplies point to the file and page they were drawn from, so people check the answer instead of trusting it blind.
  3. 3
    No per-seat licenceThe whole team can ask questions. Cost is the server and our build, not a monthly number that grows with headcount.
  4. 4
    Works offlineIf the internet connection goes down, the answers still come. Nothing depends on a vendor's uptime or pricing changes.

The short deck

14 slides on how a private AI server is scoped, secured and rolled out. Click through, or take the PDF.

Download the PDF
Private AI on your own server — slide 1 of 14 Private AI on your own server — slide 2 of 14 Private AI on your own server — slide 3 of 14 Private AI on your own server — slide 4 of 14 Private AI on your own server — slide 5 of 14 Private AI on your own server — slide 6 of 14 Private AI on your own server — slide 7 of 14 Private AI on your own server — slide 8 of 14 Private AI on your own server — slide 9 of 14 Private AI on your own server — slide 10 of 14 Private AI on your own server — slide 11 of 14 Private AI on your own server — slide 12 of 14 Private AI on your own server — slide 13 of 14 Private AI on your own server — slide 14 of 14
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