Master data
Products, variations, SKUs, contacts, categories, brands, units and locations.
commerce operating system
One commerce operating system behind every order.
One operating layer for products, contacts, transactions, stock, payments, reporting and the AI decisions that sit on top of them.
ShopiERP•••
ShopiERPCommerce Operating SystemProductsContactsPurchasesSalesStockPaymentsReportsAI
THE OPERATIONAL PROBLEM
What breaks when the operation starts scaling?
When every team works in a different dashboard, the business spends more time reconciling systems than improving operations.
INSIDE SHOPIERP
Not a feature list. Parts of the same operating context.
Transaction layer
Purchases, sales, returns, quotations, drafts, subscriptions and expenses.
Inventory movement
Opening stock, transfers, adjustments and location-level stock behavior.
Financial layer
Payment accounts, ledgers, balances, cash flow and trial balance.
Reporting
Operational reports across stock, sales, purchasing, tax, payments and activity.
Commerce intelligence
A connected data foundation for forecasting, anomaly detection and recommendations.
HOW THE WORKFLOW CONNECTS
From record to transaction to movement to management answer.
The value is not each module in isolation. It is the same product, contact and transaction context surviving every step.
Model the business
Define the objects and rules that operations depend on.
Run commerce
Capture purchasing, sales, stock and payment events.
Keep context connected
Every event remains attached to products, contacts and locations.
Turn data into decisions
Reporting and AI work from the same operating history.
01 • DEEPER DETAIL
The value is the connection between modules
A feature list is easy to copy. The operating advantage comes from preserving context as a product moves through purchasing, stock, sale, payment and reporting.
- One product master
- One contact history
- One stock movement trail
- One transaction history
ShopiERP•••
ShopiERPCommerce Operating SystemProductsContactsPurchasesSalesStockPaymentsReportsAI
02 • DEEPER DETAIL
Operational exceptions become visible
Returns, stock adjustments, delayed payments and balance differences are easier to investigate when the underlying events are connected.
- Stock discrepancies
- Purchase returns
- Sell returns
- Outstanding balances
- Activity history
ShopiERP•••
ShopiERPCommerce Operating SystemProductsContactsPurchasesSalesStockPaymentsReportsAI
03 • DEEPER DETAIL
AI needs an operating system underneath it
Useful AI requires structured operational context. A disconnected chatbot cannot replace a connected data model.
- Demand and stock risk
- Unusual transaction activity
- High-return products
- Margin changes
- Recommended next actions
ShopiERP•••
ShopiERPCommerce Operating SystemProductsContactsPurchasesSalesStockPaymentsReportsAI
THE ARCHITECTURE DIFFERENCE
The same feature can exist in two products. The difference is how it connects.
DimensionDisconnected / traditionalShopiERP
ArchitectureDepartment-firstCommerce-flow-first
ContextSplit across toolsShared operational data model
ExceptionsHandled manuallyVisible inside the operating flow
ManagementReads multiple reportsWorks from one connected operating layer
WHO THIS IS FOR
For teams where operational complexity is already expensive.
Scaling DTC brandsMulti-store operatorsRegional eCommerce teams
RELATED CAPABILITIES
Keep following the workflow instead of stopping at one feature.
FAQ
Questions before the demo
No. Shopify or WooCommerce remain customer-facing while ShopiERP manages the operating layer behind them.
The platform is designed for multi-warehouse inventory and fulfillment workflows.
It is designed to forecast, detect, explain and recommend using connected commerce data.
Make the demo start with this exact workflow.
Instead of a generic tour, walk through the scenario from source record to transaction, movement and reporting.
Request a Demo