Compare/ERP
DataGlass vs an ERP for marketplace decision-making
ERPs were built to keep the books, the warehouse, and the supply chain in one system. They are good at that. They are not, by design, the place where a seller decides which Shopee keyword to scale tomorrow.
01/Sufficient
When an ERP is the right tool
For finance, accounting, payroll, multi-warehouse inventory, and the structured operations of a manufacturer or distributor, an ERP is genuinely the right system of record.
- Multi-entity finance and consolidated reporting
- Warehouse and supply-chain management with structured workflows
- Procurement, purchase orders, vendor reconciliation
- Tax, payroll, and statutory reporting
02/Breakpoints
Where the ERP falls short for marketplace decisions
Marketplace commerce is too fast and too granular for an ERP to be the daily decision surface. The ERP records what already happened; the seller still needs to decide what to do tomorrow.
- Per-SKU true ROAS, broken down by campaign and ad group, is rarely a first-class ERP metric
- Stockout risk against the next 11.11 / 12.12 campaign window is not in the ERP's forecasting model
- Pricing decisions that connect to ad efficiency need the ad-platform data the ERP does not ingest
- Campaign-day pricing on a Shopee SKU does not fit the ERP's release cadence
03/Why
Why ERPs are not the marketplace decision layer
ERPs are built for system-of-record reliability, audit trails, and structured workflows. Marketplace decisions live on the opposite end of that trade-off — they are fast, fuzzy, and require connecting fast-moving ad and pricing signals to slow-moving cost and inventory ones. An ERP could in theory be extended to do this; in practice, the ERP integration roadmap, the IT cycle time, and the cost of customization make it the wrong tool for the speed of marketplace decisions.
04/DataGlass
How DataGlass differs
DataGlass is positioned as the decision layer that sits next to the ERP, not on top of it. The ERP keeps the books; DataGlass connects the marketplace, ad, and pricing data into the daily decision queue.
- Per-SKU true ROAS and break-even ROAS as first-class metrics, not ad-hoc reports
- Stockout-day projections that incorporate campaign-day demand, not just historical run-rate
- Pricing recommendations connected to current margin and ad efficiency
- Cleanly exports to ERP-friendly formats so the system of record stays the system of record
05/FAQ
Frequently asked
No. DataGlass is built to complement the ERP. The ERP remains the financial system of record; DataGlass becomes the daily marketplace decision layer.
Direct two-way ERP integration is on the roadmap. Today the workflow is export-driven: DataGlass surfaces the decisions, the operator approves and acts, and reconciled data can be exported back to ERP-friendly formats.
Most ERP marketplace modules focus on order ingestion and inventory sync. They do not surface true ROAS, ad waste, or per-SKU contribution margin. Those are what DataGlass adds.