From scattered transactions
to one network cockpit.
Six steps. No replacement of your current systems. This is how raw data from every store becomes a single management surface owners and operators can actually run a network on.
Quick answer
ecorgOS reads POS, ERP, accounting, e-commerce, and CSV or API exports, maps them into one chain-wide data model, computes daily KPIs and anomalies, and turns that into role-based cockpits and tracked store actions.
Access model
Read-only by default
Sources
POS + ERP + e-commerce + CSV/API
Replacement
No rip-and-replace
Time to value
First live view in 72h
What the flow produces
What owners see after the first sync.
This is not an integration diagram for its own sake. The flow produces a morning briefing, role-based cockpits, and an action layer the network can actually operate from.
What we read
Transactions, stock movements, invoices, prices, schedules
What we standardize
SKU, store, margin, labor, supplier, and compliance data
What the team gets
Morning briefing, alerts, cockpits, checklists, tracked actions
Morning briefing
Today · 08:30
Revenue vs plan target for the current month.
Gross margin across active stores. Review P&L if it keeps moving.
Average transaction value from connected POS data.
Average SKU lines per receipt. Below 2 can signal missed upsell.
Suggested action
Review stores below the chain margin average before the weekly order.
Read-only sync
POS connected · Accounting connected · No replacement
Sources connect
ERP · POS · E-commerce · WMS · 1C · Excel
ecorgOS plugs into the systems you already run. No replacement, no rip-and-replace. Read-only connectors pull transactions, stock movements, price lists, schedules, suppliers and HR data from every store and channel.
- SAP / Oracle / 1C
- Square / iiko / R-Keeper
- Shopify / WooCommerce
- Custom ERP via API
Data is normalized
One schema across the entire network
Every store calls a SKU something different. Every POS reports margin its own way. ecorgOS maps them into a single canonical model — products, stores, transactions, costs, headcount, suppliers — so cross-store comparisons actually mean something.
- SKU mapping & deduplication
- Currency & VAT handling
- Cost & margin reconciliation
- Time-zone alignment
Layers are built
From raw events to management metrics
On top of the unified data, ecorgOS computes the layers a network operator actually uses: real-time KPIs, daily P&L per store, margin per category, stock health, labor cost ratios, franchise compliance scores.
- Network KPI layer
- Margin & loss layer
- Operational tasks layer
- Franchise governance layer
Anomalies surface
Problems found before they hurt margin
Rules and statistical baselines flag what doesn't fit: a store dropping 18% week-over-week, shrinkage spike on a SKU, a manager skipping cash reconciliation, a franchisee out of compliance. Each anomaly comes with context, not just a red dot.
- Margin drift alerts
- Stock & shrinkage alerts
- SLA / checklist breaches
- Franchise audit flags
Manager sees the result
One cockpit · every role · every store
The owner sees the network. The COO sees operations. The store manager sees today's tasks and their numbers. The franchise lead sees compliance. Same data, different cockpits — no spreadsheets, no Monday-morning dashboard rebuilds.
- Owner / CEO view
- COO / Ops view
- Store manager view
- Franchise partner view
Decisions go back to stores
Playbooks · standards · actions
Insight without action is a dashboard. ecorgOS pushes standardized playbooks, daily checklists, price updates and operational corrections back into the network — and tracks whether they actually got done.
- Daily ops checklists
- Standardized playbooks
- Price & promo rollouts
- Compliance follow-ups
Data Flow FAQ
Questions buyers ask before they grant data access.
Ready to see your own data flow?
We will scope the least invasive connector path first, show the first live briefing in 72 hours, and expand it into a 7-day pilot if you want broader validation.