Recommends and sells, right in the app

The salesperson who's always on shift.

Saig is the automated sales agent for gyms, studios, spas, and salons, built for businesses of any size, from a single storefront to multi-location chains. It surfaces the right recommendation at check-in, in-app, or by reminder, and lets members buy right where they see it. White-labeled under your brand.

No developer required — just configure and go.

Built for owners and operators. We're onboarding a small number of pilot businesses directly — we'll follow up personally, not just an email blast.

Live in the product

Every check-in surfaces what's already decided.

Check-in
Recommendation
Purchased
Why now

Every membership business runs the same losing math.

Scheduling and check-in software tells you who showed up. It doesn't tell you what to sell them, so every visit becomes a missed sale instead of one.

The visit

A member checks in for the ninth time this month and no one on the floor happens to mention the product that would keep them coming back.

The staff

Your best salesperson knows exactly what to recommend and when. They're not on shift every hour your doors are open, and if they leave, that instinct leaves with them. The software doesn't turn over.

The review

Someone reviews member activity every day in a spreadsheet, but nobody's cross-referencing it against what's happening at the front desk right now. Every missed upsell happens in that gap, one check-in at a time.

Why this matters
60%
average annual frontline turnover in service industries
$8,400
average cost to replace one frontline employee
$42,000+
lost over 5 years, per role, per location

Industry benchmarks for frontline/service-industry hiring and retention — general research, not measured results for Saig.

What if every check-in triggered the same instinct your best employee has, automatically, for every location, in every brand, without writing a single line of code?

How it works

Built to sell like your best employee. Accurate from day one.

Saig runs on transparent business rules, not a black box, so it works accurately from day one, with zero historical data, and every recommendation can be explained in plain language. Real machine intelligence gets layered in later, once your data can make it meaningful.

Check in

One QR code per member, recognized instantly at any location, on any branded app.

Recommend

Rules fire on visit frequency, purchase history, and personal goals, then surface at check-in, inside the app, or by reminder, whichever moment fits.

Sell

When a member acts on a recommendation, the purchase happens right in the app and gets logged against that member and the recommendation that led to it.

Understand

One dashboard covering revenue, retention, and what's actually selling for your business.

Under the hood

Three inputs. One agent. Three possible outcomes.

Input
Visit history data
Input
Product purchase history
Input
Client rule set
Recommendation
engine
Outcome
Service recommendation
Outcome
Product recommendation
Outcome
Results

One automated sales agent. Every kind of membership business.

White-label from day one

Your logo. Your colors. Your app name. Our sales agent, underneath.

  • No shared branding. Members never see "Saig." They see your business, your app icon, your voice.
  • Configuration, not custom code. New businesses launch on the same core, styled to match.
  • Optional modules. Scheduling, SMS, and marketing automation are add-ons you turn on when you need them, not baked into the base price.
Sun Paradise Tanning
Same agent
Iron Forge Gym
Same agent
Lumen Recovery Spa
Same agent
Apex Martial Arts
Same agent
See it in action

What your business, and your members, actually see.

yourbusiness.saig.app/dashboard
UI

Client dashboard

Coming soon
UI

Member app

Coming soon
Already have your own app?

Saig can run underneath what you've already built.

You don't have to replace your app to use Saig. Point us at your existing check-in and purchase data, and Saig hands back the recommendation — you decide where it shows up.

  • Keep your login, keep your app. Your customers keep using the app and credentials they already have. Saig never becomes the front end.
  • You send the data, Saig sends back the decision. Visit history, purchase history — whatever your rules need — flows to Saig's API, and Saig returns what to recommend and why.
  • Same engine underneath. Full white-label app or bolt-on API, the recommendation logic is the exact same engine — just a different front door.
POST /v1/checkins
Authorization: Bearer <your API key>
{ "external_ref_id": "...", "location_id": "..." }
200 OK
{ "recommendation": "Accelerator lotion", "reason": "..." }
Common questions

Before you apply.

Do I need to hire a developer to use Saig?

No. You configure your recommendation logic through rule sets — if this happens, recommend that — built to feel like filling out a checklist, not writing code. Saig's team builds and maintains the actual software underneath; you just tell it how you want to sell.

I already have my own app. Do I have to switch?

No — Saig doesn't have to be your whole app. If you've already built (or paid someone to build) your own branded app with your own login, Saig can run purely as the engine behind it: you send visit and purchase data over, Saig sends back what to recommend. See how the API-only option works.

Built for owners who want every check-in to be a chance to sell.

Apply for the pilot program and be one of the first businesses running Saig.