StokeOS for ski & snowboard shops

Run
the
season.
Not from it.

AI agents built for the compressed chaos of ski season — rental fleet management, tune shop workflow, seasonal planning, and staff coordination — so your 12-week window actually runs the way it should.

You're on the list. We'll be in touch before the season drops.

No credit card. No commitment.

Rental fleet management Tune shop workflow Seasonal inventory planning Staff scheduling & onboarding Snow forecast demand alerts
What's actually slowing you down

You make 70% of your
annual revenue in
12 weeks. They need
to go perfectly.

A compressed season means every operational failure costs more. A 1-week tune backlog in January doesn't just frustrate customers — it's a revenue leak you can never recover. StokeOS is built for the intensity of ski season operations.

01

First snow hits. By 10am you're turning away rentals.

Opening day and holiday weeks are 200 customers, 6 staff, and a queue that stretches out the door. Boot fitting takes 10–15 minutes per customer by a skilled tech. Your best day of the year is also your most chaotic — and the customers who get turned away don't come back.

Boot fitting bottleneck: peak days need 50+ fittings in 3 hours — that requires more than manual coordination
Family rental packages require multiple size checks, mid-season exchanges, and kids who grew two sizes since last year
Returns come back dirty and wet — cleaning, waxing, and binding checks are required before re-rental, and the queue never stops
Holiday week demand is 40–50% of your annual rental revenue, compressed into 7 days with no margin for error
02

Your tune queue is a week long and skis are just sitting there.

During peak season, tune shops commonly run a 5–7 day backlog. Work orders are paper-based or scattered. Customers call to check status. Technicians dig through racks to find the right pair. And a ski waiting in line is a ski not generating revenue for whoever left it.

Waxing, edge sharpening, and binding adjustments each need sequencing — but there's no system tracking who's doing what in what order
Binding adjustments require the customer's boots, a certified tech, and the right jig — multi-step dependencies that paper orders can't manage
Customer pickup notifications are manual calls and texts — unclaimed skis pile up and block workflow
A single lost work order during peak week costs you the job and the customer relationship
03

You buy inventory in August for a season that starts in November.

Ski shop inventory decisions are made 3–4 months before you know whether it's a good snow year. Overbuy and you're carrying dead stock through spring. Underbuy and you're stocked out during your only profitable window. Meanwhile, independent outdoor shops average just 2% net profit margin — there's no cushion for a bad guess.

Warm or shortened winters can collapse demand with no warning — the capital you committed in August is already spent
Supplier minimum order quantities push you to buy deeper than you need, making the dead stock problem structurally worse
Off-season fixed costs (rent, insurance, payroll) continue regardless of snow — cash flow gets tight by February
Without sell-through data by SKU and size, next season's order is still largely educated guesswork
04

You train them for two weeks. They're gone by Christmas.

Seasonal hiring is a sprint against competitors chasing the same limited pool. Hire 15 in September, lose 4 by December — right when the volume peaks. The ones who stay are doing their best, but two weeks of training doesn't produce consistent boot fitters, and your best customers notice the difference.

No standardized fitting process means each tech fits differently — one aggressive, one loose, all inconsistent
Institutional knowledge walks out the door every spring — next October you're rebuilding from scratch
Binding adjustment mistakes carry real liability — incorrect DIN settings are a safety and legal issue, not just a service issue
Policy inconsistency: one employee honors a free size swap, another charges — customers notice and post about it
Rental fleet & tune shop management

Every ski.
Every order.
Every status — visible.

StokeOS manages your entire rental fleet and tune shop workflow in real time — tracking equipment through every stage from return to re-rental, queuing work orders intelligently, and notifying customers automatically when their skis are ready.

  • Live rental fleet status — every unit tracked as out, returned, in service, or ready to rent — no manual counting
  • Work order queue management — waxing, edging, and binding jobs queued and assigned with dependencies handled automatically
  • Binding adjustment tracking — logs tech, DIN settings, and customer data for every adjustment, creating a compliance record
  • Automated pickup notifications — texts the customer the moment their skis are done; unclaimed gear gets a follow-up
  • Peak demand forecasting — monitors snow forecasts and booking trends to alert you before a surge so you can staff and prep accordingly
  • Return turnaround workflow — guides staff through clean, inspect, wax, binding check before a unit re-enters the available fleet
Tune shop — work queue 14 orders pending
142
Units in fleet
38
Currently rented
9
In service queue
Work order #1042 — Wax + edge
Rossignol Experience 88 · Drop-off: 9:15am · Tech: Ryan K.
In progress
Work order #1043 — Binding adjustment
Waiting on customer boots · DIN: pending · Tech: unassigned
Awaiting boots
Work order #1039 — Full tune
Complete · Customer notified via text 11:42am
Ready for pickup
⚡
Forecast shows 8" overnight. Based on historical booking patterns, expect 60–80 rental requests tomorrow morning. You currently have 31 units available. I can send a prep checklist to your evening crew and a staff availability check for an early start. Approve?
Seasonal planning & staff intelligence

Smarter buys.
Stronger team.
Better season.

StokeOS gives you the data to make August inventory decisions confidently, flags cash flow risks before they become emergencies, and helps you build a seasonal staff operation that doesn't start from zero every October.

  • Sell-through tracking — records exactly which SKUs, sizes, and models moved last season so your next buy is data-driven, not gut feel
  • Cash flow forecasting — models your seasonal revenue curve against fixed costs, flagging tight periods before they arrive
  • Inventory aging alerts — identifies slow movers early and suggests markdowns or promotions before they become dead stock
  • Staff onboarding playbooks — standardizes your fitting process, binding procedures, and service policies so every hire performs consistently
  • Demand alerts — watches forecasts and resort opening announcements to give you lead time on staffing and prep
  • Season-over-season reporting — compares this year to last across revenue, rental volume, tune throughput, and staff performance
Season snapshot — mid-January On pace
$184k
Revenue to date
+12%
vs. last season
Volkl Mantra M6 — 177cm
Sell-through: 94% · Reorder recommended for next season
Top mover
K2 Disruption 76C — 163cm
Sell-through: 31% · 8 units remaining · 74 days in store
Aging — act now
Staff: 11 active seasonal hires
3 completed boot-fitting certification · 2 binding-qualified techs
2 certs pending
⚡
K2 Disruption 76C is 74 days old with 69% left unsold. At current pace, it won't clear before season end. I've drafted a Presidents' Week bundle offer and a clearance email. Want me to send, or adjust the discount first?

Make this
your best season yet.

StokeOS is in early access. Join the list and be the first ski shop in your area to run a season that actually runs itself.

You're on the list. We'll be in touch before the season.

No credit card. We'll reach out before your next season starts.