Every store. Every SKU.
One cockpit.
ecorgOS connects your POS, ERP and e-commerce into one daily operating view for your retail chain. Track store P&L, category margin, shrinkage and stock health across every location — without replacing anything you already use.
SmartBill · Lightspeed · 1C · Shopify · WooCommerce · WizPOS
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
Quick answer
ecorgOS connects POS, ERP, accounting, and e-commerce into one daily retail operating view. Owners and operators see store P&L, category margin, shrinkage signals, and cross-store anomalies before month-end, without replacing the current stack.
Best fit
2+ stores, retail chains, mixed-system networks
Inputs
POS + ERP + accounting + e-commerce
Access model
Read-only by default
Time to first live briefing
72 hours
Without ecorgOS / With ecorgOS
Without ecorgOS
- Each store's POS data locked in a separate system
- Category margin unknown until the accountant consolidates
- Shrinkage discovered at year-end inventory, not during the season
- No way to benchmark store performance without a data analyst
With ecorgOS
- All stores in one live view: revenue, margin, stock, anomalies
- Category margin by store — updated daily from POS and accounting
- Shrinkage flagged as soon as stock levels diverge from sales
- Automatic cross-store benchmarking — which store is dragging the chain
What you get
What you get
Store-level P&L every day
Revenue, margin and cost per store — consolidated daily from your POS and accounting systems. No manual aggregation, no end-of-week calls with store managers.
Category margin and SKU visibility
See margin by product category across the whole chain. Identify which SKUs are pulling your margin down and in which stores — without an analyst.
Cross-store benchmarking
See which store is outperforming the chain average and by exactly how much per month. Replicate what's working across locations before the advantage is lost.
Why teams switch
ecorgOS vs spreadsheets, month-end accounting, and generic BI
The core question is not whether each store can export data. The question is whether the whole chain gets one usable operating model, one daily briefing, and one set of actions before margin leakage becomes a month-end problem.
| Criteria | ecorgOS | Spreadsheets / month-end accounting / generic BI |
|---|---|---|
| Time to first useful view | First live briefing in 72 hours from the first confirmed source path. | Usually weeks or months of exports, cleanup, mappings, and report setup before operators can trust the view. |
| Store and SKU visibility | Store P&L, category margin, and SKU performance in one shared chain model. | Store numbers, category reports, and cost files often sit in separate places and rarely reconcile cleanly. |
| Mixed-system networks | Built to normalize POS, ERP, accounting, and e-commerce data across different store setups. | Every extra system usually adds another export path, mapping file, and reporting exception. |
| Shrinkage and margin signals | Same-day anomaly detection tied to sales, stock, and margin behavior. | Shrinkage or margin drift is usually found during reconciliation, accounting close, or inventory review. |
| Actionability | Morning briefing, role-based cockpits, and repeatable follow-up across stores. | Mostly reporting. The action layer stays in calls, chat threads, and ad hoc manager work. |
Retail FAQ
Questions retail chain operators ask before going live.
See what your first chain briefing would look like.
In 20 minutes we scope the first POS path, the ERP or accounting path, and the first live retail briefing. Then we show which stores, categories, and margin signals your team should start with.