Upload your data. Know exactly what to do next.
Connect Square or Shopify, or upload a CSV. Daybreak turns your sales data into clear reports, plain-language recommendations, and email and SMS follow-up that runs itself.
From a CSV to customers walking back in
Five steps, no setup project, no analyst required. The same flow you see in the video above.
Connect or upload your data
Connect Square or Shopify and your sales sync on their own. Or drop in any CSV export: orders, customers, products. Daybreak detects the columns and maps them for you.
On another system? We can connect to almost any database by API for an additional setup charge.
Reports build themselves
A Sales Overview appears instantly, with Customers, Locations, and Channels reports behind it. The numbers you run the business on, without building a single chart.
Filter, tag, and save views
Slice by location or date. Select the customers who matter, tag them, and save the view so your whole team sees the same list tomorrow.
The AI tells you what to do
Every day, Daybreak reads your numbers and flags what deserves attention: what changed, why it matters, and what to do about it. It connects to the tools you already use, so its advice is grounded in your real data.
Connections run on MCP, an open standard for linking AI to software.
Downtown's repeat customers are slipping
- What changed
- Repeat rate fell to 26.0% over the last 90 days, 8 points under its 12-month average.
Workflows act on it
One click turns the recommendation into a live email and SMS workflow and enrolls the matching customers. The follow-up you kept meaning to send, sent.
All numbers and customers shown are illustrative demo data.
Advice that shows its work
Not a dashboard you have to decode. An advisor that reads your real numbers every day, speaks plainly, and answers what you ask.
It checks your numbers daily
Sales, repeat rates, customer activity, by store and channel, against your own history.
It says what changed and why it matters
In plain language, with the dollars at stake. No chart-reading required.
It suggests the next move
Every recommendation comes with a concrete action and the customer list behind it.
It cites its sources
Every number traces back to your data. Agree, act, or dismiss with a reason. You stay in charge.
Downtown's repeat customers are slipping
Win-back workflow · Lapsed VIPs
- What changed
- Repeat rate fell to 26.0% over the last 90 days, 8 points under its 12-month average.
- Why it matters
- 312 high-value customers haven't ordered in 60+ days. At $410 a year each, about $128K is at risk.
- Recommended action
- Start a win-back workflow: email today, SMS follow-up in 2 days.
Talk to your data
Advice comes to you daily. Questions work the other way: ask in plain English, the way you would ask an analyst, and Daybreak queries your live numbers over MCP and answers with the chart or table, not a link to go build one.
The demo is live: when the follow-up chips appear, click one and it answers that too.
I pulled your Sales Overview and ran the 12-month trend. Q4 projects $412K profit, up 9% on Q3, with December pacing the quarter at $150K.
Here is Q4 by store. Downtown leads at $176K, about 43% of the quarter, and the mall kiosk is the fastest grower at +12% over Q3.
December's $150K is November's $134K plus three pushes. The biggest is holiday gifting, with gift cards running about twice their November pace.
From "we should follow up" to followed up
Recommendations end in action, not in a to-do list. One click builds the workflow, writes the first draft, and enrolls the right customers. You approve it, it runs.
- Email and SMS in one sequence, with waits and skip rules
- Customers who come back drop out automatically
- Opt-outs handled on every text, "Reply STOP" built in
Built for the people who run the store
Open Daybreak, see revenue, orders, and repeat customers across every location. The morning gut-check, without the spreadsheet.
A location slipping, a quiet weekday, a channel going cold. Daybreak flags it and hands you the fix, not just the chart.
Real segments built from real purchases: lapsed VIPs, first-timers, big spenders. Tag them once and the workflows do the rest.
- Your data is stuck in the register.Sales happen all day; the numbers stay locked in the POS.
- Reports take hours and still don't say what to do.A chart is not a decision.
- Good customers slip away before anyone notices.By the time it shows in revenue, they're gone.
- Follow-up only happens when someone remembers.And someone is usually busy.
Three ways to work with us
Daybreak
By Data Does Not LieThe product above: your sales data in, clear reports and customer segments out, with an AI advisor that tells you what to do and workflows that do it.
- Square and Shopify integrations, or CSV upload
- Reports build themselves from your sales data
- Filter, tag, and save customer views for your team
- Daily AI recommendations grounded in your data
- One-click email + SMS follow-up workflows
- Connects to the tools you already use
- API connection to almost any database, for an additional setup charge
Custom Development
When off-the-shelf doesn't fit: bespoke apps, dashboards, integrations, and AI assistants built on your own data.
- Custom dashboards and reporting platforms
- Integrations with the systems you run on
- AI assistants over your own database
Website Development AEO built in
Fast, hand-built marketing sites, made to be found. This site is one.
- AEO, answer engine optimization: structured answers, FAQ schema, and llms.txt so AI assistants like ChatGPT and Claude can find, quote, and recommend your business
- SEO foundations: structured data, sitemaps, social cards
- Lead capture wired in from day one
Replacing a Spreadsheet That Ran a Construction Company
One Excel workbook forecast an entire construction business. We rebuilt it as a tested web platform with a live Procore integration and an AI layer that answers plain-English questions, and gave the CEO back 8 to 10 hours a month.
Read the case study →More use cases on the way
We're writing up how retail teams use Daybreak to spot slipping locations and win back lapsed customers. Check back soon.
Data Does Not Lie was founded by Cameron Patalano, a founder and author who builds tools that help small businesses automate with ease. His CRM background runs deep: years of hands-on work in HubSpot and GoHighLevel, owner of Revenue Rebranded, a marketing agency that sold a white-label version of HighLevel, and CRM projects for small businesses as an independent contractor.
Today he is an AI & Automation advisor at Stature Advisors, where he develops custom software and helps businesses implement AI systems at scale. He built Daybreak after seeing the same gap across retail: businesses sitting on years of sales data with nothing telling them what to do about it.
He is also the author of Radical Transparency, an honest, educational approach to sales and marketing.
Common questions
What is Daybreak?
Daybreak is the AI-powered CRM for retail by Data Does Not Lie. Connect Square or Shopify, or upload a CSV, and it turns your sales data into clear reports, daily plain-language recommendations, and email and SMS follow-up workflows you launch in one click.
What data sources does Daybreak support?
Square and Shopify connect out of the box, and any CSV export uploads in seconds with columns detected automatically. We can also connect almost any other system by API, like the SPOT point of sale for dry cleaners, for an additional setup charge.
Do I need an analyst to use Daybreak?
No. Reports build themselves from your data, the AI explains what changed and why it matters in plain language, and every recommendation comes with a one-click action. It is built for owners, operators, and marketers, not data teams.
What does the AI actually do?
Every day it reads your numbers, by store and channel, against your own history. When something deserves attention it tells you what changed, why it matters in dollars, and what to do about it, and it cites the data behind every number. Over MCP, an open standard for connecting AI to software, it can also build reports, workflows, smart lists, email templates, and SMS snippets on request.
Can Daybreak send email and SMS?
Yes. Recommendations turn into live email and SMS workflows in one click: sequences with waits and skip rules, customers who come back drop out automatically, and opt-outs are handled on every text.
What does Daybreak cost?
We walk through pricing on the demo call. Square, Shopify, and CSV setups are turnkey; connecting another system by API carries an additional setup charge.
Who is behind Daybreak?
Data Does Not Lie, which also offers Custom Development (bespoke apps, dashboards, integrations, and AI assistants built on a company's own data) and Website Development: fast marketing sites with SEO and AEO built in, so search engines and AI assistants can find and quote your business.
See your own data tell the truth
On Square or Shopify, we'll connect your store live. Otherwise bring a sales export, and we'll load it on the spot, show you the reports it builds, and the first recommendation it makes.
- 30-minute walkthrough on your data, not slides
- Works for stores, restaurants, and service shops
- Honest fit assessment. If it's not for you, we'll say so.