Money / Product / Customer × You / Peers / City
An AI analysis advisor for local business
Turn “I think”
into “I know”
The costliest decisions are made on a hunch. Waino separates each business question into evidence—whether spending pays off, why customers come and go, and what still needs validation across the market. Move when the evidence is clear; label uncertainty when it is not.
Walk through prepared sample data · no card · no live-result claim
Las Vegas driving-school samplePrepared demonstration data · not a live merchant result
Market penetrationYour actual
6.2%
You've served 80Folks nearby who'd want you ≈ 1,240
YouActual
PeersEstimate
CityEnvironment
Bad-review alert
New 1-star review, draft ready · 38 min left
A person confirms suggestions before the next step
See the sample, then fill your data by source
Driving sample now; other trades are not yet open
Sound familiar?
Business is moving,
but certainty is not
You work harder than anyone, yet the important calls still come down to instinct. Questions without evidence should be separated, labeled, and filled in step by step.
How much of the market do I own?
Who could become a customer, which areas are covered, and which remain unclear? Unsourced data cannot become a conclusion.
Does my spending pay off?
Ads, promotions, and services need real transactions and source records before the question can be answered.
Who exactly are my customers?
Who buys, returns, and refers? Start with your own traceable records, then compare outside context.
Data is scattered and unused
Customers, payments, and enrollments live in different places. First map the sources and gaps instead of guessing.
What it does for you
See · Think · Act
See the current state, identify what deserves validation, and turn suggestions into confirmable actions. Open a view to explore the original daily workflow.
Business check-up · dashboardDriving sample
One question · three lenses
You · Actual6.2%
The market you've already won
Peers · Est.≈4.8%
Roughly where nearby rivals sit
City · Env.12k
Total annual demand here
Customer profile · This month
Core segment · Age 25–34 · mostly women54%
High-value · Top 30% spenders28%
Top source · Referrals from regulars42%
Repeat · Returned within 6 mo36%
8 regulars haven't been in for 30+ days. We flag them for you—a heads-up, not auto-texting.
Las Vegas · Driving school sample
City map · territory and opportunity
Your turfRivalsWorth going after
Missed demand here532 /yr
Few rivals, thin coverage — hit this first
AI plugins · one sentence, clear steps
“When a new review arrives, assess the risk and draft a response”
Sample requestWaino breaks it into
Trigger
A configured source receives a new review
Analyze
Identify sentiment, themes, and attention items
Draft
Prepare a suggestion and wait for approval
Sample review organized
ReviewA response draft is ready, but it will not auto-publish.
How we think
Every local business
deserves evidence from every angle
Three questions—Money, Product, Customer; three lenses—You, local peers, the whole city. Nine cells form the question framework for a business check-up.
Your businessActual · traceable records
Local peersBenchmark · estimated range
City contextEnvironment · spatial backdrop
Money
Monthly target · gap
Calculate after costs and payments connect
Peer operating range
A reference from public and industry inputs
City demand context
Environmental data explains market space
Product
Your revenue mix
See which courses are chosen and completed
Visible peer products
Public courses and prices remain a reference
Category and area conditions
Observe changes in the city environment
Customer
Your customer profile
Use traceable customer records
Peer audience outline
Only a reference without direct evidence
Convertible audience by area
No fixed size when evidence is missing
We never pass guesses off as facts
Every number should carry a confidence label, so you know whether it is traceable, a reasonable range, city context, or still missing.
ActualYour own traceable business data
EstimateA reasonable range from public inputs
FogNo conclusion where evidence is missing
EnvironmentCity and spatial context
From sample to truly yours
Understand the method on a sample, then fill the gaps source by source—without handing over everything at the start.
1
The Las Vegas driving sample walks through the full structure
2
Spreadsheets, records, or manual confirmation keep a source label
3
Each addition makes the “You” column more grounded
Our red lines
An advisor, not the boss
The smarter the tool, the clearer the rules. These are product boundaries—not demonstration statistics.
Advises, never chases
It can flag records to review, but never mass-messages or chases customers for you. Acting stays your decision.
AI only drafts
Suggestions wait at an approval gate. Accepted writes should be traceable and reversible.
Your data stays yours
Business data is not shared with peers; permissions, export, and deletion still require release-grade security validation.
One analysis framework, more trades over time
The public demonstration currently uses the Las Vegas driving-school sample. Other trades keep the original design entry but are clearly marked unavailable.
🚗DrivingSample open💠Med-spaNot open🍜DiningNot open✂️BeautyNot open⋯MorePlanned
Start with the sample
and understand a business check-up
A demonstration is not a result. See the method and its boundaries before connecting your own business data.