- Ad platforms, CRM and ERP connected into one warehouse
- True ROAS reconciled against closed revenue, not platform-reported conversions
- A live report the team actually opens — see an example
Transparent pricing.
Starting prices for each kind of project, what moves the number, and a quick estimator. No "contact us for pricing" wall.
- A bot or ops agent inside the chat tool you already use (Slack, Teams, email)
- Connected to your ERP or CRM, with a human approval step before anything is written
- Every action logged, so any run can be traced and reversed
- Marketplace orders flow into the ERP, fulfilment confirms back automatically
- Inventory kept in sync across every channel
- Monitoring and alerts, so a silent failure doesn't become an oversold SKU
- Review of your pipelines and warehouse: where cost and failures actually come from
- Structural fixes, verified by comparing values, not just row counts
- Daily reconciliation between your source of truth and your reports, with alerts
- Technical SEO and a content structure built around how people actually search
- Automation that publishes pages on a schedule instead of whenever someone remembers
- Bulk edits across a whole network of sites at once
Get a rough number in 20 seconds
Pick what you need and how big it is. You'll get an indicative range, and we'll come back with an exact one after a short call.
1 · What do you need?
2 · How many systems are involved?
What moves the price
The same four things decide whether a project lands near the starting price or well above it.
Number of systems
Every extra platform, ERP or CRM to connect is its own set of rules, limits and edge cases.
Standard or custom APIs
A documented connector is quick. An old system with a half-documented API takes longer to get right.
Data volume and history
More history and bigger tables mean more work to load, verify and keep cheap to run.
Monitoring and support
Alerts that name the failing file or order, plus support after launch, are scoped separately from the build.
What's billed separately
So nothing turns a quoted price into a surprise.
Cloud infrastructure
Runs in your own cloud account, at your cost. For scale: the hourly ad-reporting pipeline in our case study costs roughly $80 a month to run.
Third-party fees
Licences and API usage charged by the tools involved (ad platforms, document AI, marketplaces) are paid to them, not to us.
Ongoing maintenance
Keeping a system healthy after launch is quoted on its own, so you only pay for the support you actually want.
How a project runs
Short, and you deal with the engineers who build it.
A 30-minute call
You tell us what hurts. We tell you honestly whether we're the right fit.
Written scope
What gets built, how long it takes, and the price, in writing, before we start.
Build
Production-grade from day one, tested against your real data, not a demo.
Launch with alerts
It goes live with monitoring, so when something breaks you hear about it first.
Questions
Are these fixed prices?
They're starting points. After a short call we scope the work and confirm the exact figure in writing. The estimator above shows the range most projects fall into.
What do I get at the end?
A working system running in production, in your own cloud account, with monitoring and alerts, not a slide deck or a prototype.
Do you work with our stack?
The approach is the same on NetSuite, SAP, Oracle, Odoo, Shopify, Slack, Teams and most ad platforms. What changes is the connector, not the method.
Can we start small?
Yes. Marketing analytics starts at $2,000 and takes about two weeks, which makes it a natural first step before something larger.
Who will I work with?
The engineers who build it. No account managers and no layers between you and the person writing the code.
How do I know the numbers are right?
We reconcile against a source of truth before anything goes live, down to the individual entity rather than just the total. Our case studies show examples of what that catches.
Not sure which one you need?
Tell us where it hurts, and we'll point you to the right starting point, even if that's not us.