SABSUS module
Analytics connected to the rest of the operating system
Dashboards for revenue, orders, stock, team output, customer behavior, locations, funnels and operational exceptions.
Capture
Capture activity in Analytics and keep it attached to the customer, order, product or location record.
Route
Push the next action to the correct team, screen or automation flow for owners who need one version of operational truth.
Automate
Send the resulting data into analytics, AI prompts and follow-up workflows without manual copying.
Core
Analytics
Shared records, status changes, permissions, triggers and reporting.
Analytics
Finance
CRM
Inventory
Trigger
Analytics: Trigger tasks and notifications when Analytics changes status.
AI decision
Analytics: Use AI to classify, summarize or prioritize records before a manager reviews them.
Action
Analytics: Create follow-ups, approvals and customer messages from operational events.
Evidence
Analytics: Trigger tasks and notifications when Analytics changes status.
What this module actually controls
Analytics is not a standalone screen: Dashboards for revenue, orders, stock, team output, customer behavior, locations, funnels and operational exceptions.
4
Data
3
Flows
4
Links
3
Automations
Data it stores and governs
- Analytics stores metrics, dashboards, branch comparisons and operational events so teams work from one operational record.
- Analytics stores orders, modifiers, checks, payments and refunds so teams work from one operational record.
- Analytics stores customer profiles, segments and communication history so teams work from one operational record.
- Analytics stores invoices, payments, taxes, balances and payout status so teams work from one operational record.
Workflows it controls
- Analytics controls the step: Capture activity in Analytics and keep it attached to the customer, order, product or location record.
- Analytics controls the step: Push the next action to the correct team, screen or automation flow for owners who need one version of operational truth.
- Analytics controls the step: Send the resulting data into analytics, AI prompts and follow-up workflows without manual copying.
Modules it connects with
- Analytics shares context with Finance so the next team does not re-enter the same data.
- Analytics shares context with CRM so the next team does not re-enter the same data.
- Analytics shares context with Inventory so the next team does not re-enter the same data.
- Analytics shares context with Multi-location Management so the next team does not re-enter the same data.
Examples by industry
- Restaurants use Analytics to connect orders, kitchen status, inventory and repeat visits.
- Retail teams use Analytics for product, customer, discount and channel sales context.
- Franchises use Analytics to standardize process execution and branch reporting.
Operational workflow
Dashboards for revenue, orders, stock, team output, customer behavior, locations, funnels and operational exceptions.
Capture activity in Analytics and keep it attached to the customer, order, product or location record.
Push the next action to the correct team, screen or automation flow for owners who need one version of operational truth.
Send the resulting data into analytics, AI prompts and follow-up workflows without manual copying.
Automation layer
- Analytics: Trigger tasks and notifications when Analytics changes status.
- Analytics: Use AI to classify, summarize or prioritize records before a manager reviews them.
- Analytics: Create follow-ups, approvals and customer messages from operational events.
Business outcomes
- Less duplicate entry between systems.
- Clearer ownership across teams and locations.
- Operational data that is ready for reporting and automation.
Related pages
Implementation
A practical launch path
Analytics launches in operational stages: data model first, process control second, automation and reporting after that.
Define the records: metrics, dashboards, branch comparisons and operational events; orders, modifiers, checks, payments and refunds.
Connect roles, statuses and modules: Analytics shares context with Finance so the next team does not re-enter the same data. Analytics shares context with CRM so the next team does not re-enter the same data.
Turn on rules, alerts, AI prompts and reporting for Analytics.
Questions teams ask before implementation
Can Analytics work without the other modules?
Yes, Analytics can start as a focused module, but its value grows when it shares data with the adjacent workflow modules: customer records, inventory, analytics, AI automations and customer-facing experiences.
Can it be adapted to custom workflows?
SABSUS is modular: fields, stages, automations, permissions and customer-facing screens can be shaped around the way your team actually works.
SABSUS
Talk to a product architect
Dashboards for revenue, orders, stock, team output, customer behavior, locations, funnels and operational exceptions.