Real-time stock status
Red, amber and green per SKU and store, from the latest ERP import, with days of coverage.
Stock
See the red, amber and green before the write-off
Real-time stock status per SKU and store, stock-out management, lot and expiry-date tracking, and transfers to the store that will sell a lot in time.
Red, amber and green per SKU and store, from the latest ERP import, with days of coverage.
Current and predicted stock-outs, lost-sales estimate, root cause: late supplier, wrong forecast, missing transfer.
Stock by lot with expiry date, alerts before a lot becomes unsellable, sell-through by lot.
Proposed transfers from stores with excess to stores with demand, created as transfer orders in the ERP.
Goods in transit between the central warehouse and stores are tracked and deducted from the need.
Your own rules: coverage below X days, lot expiring in Y weeks, overstock above Z, sent by email or in IRIS.
Real-time stock status per SKU and store, with a twelve-month projection of stock levels from the forecast and the planned orders.
Red, amber and green by coverage
Twelve-month stock projection
Filters by city, brand, store, category and ABC class
Total SKUs, units, value, critical and warning counts, plus stock by lifecycle and by ABC class. The charts show where value is sitting and how healthy it is.
Stock by lifecycle: growth, mature, end of life
Stock by ABC class
Export to Excel
Current and critical stock-outs, lost revenue estimate and the monthly trend, with root causes: late supplier, missing forecast, missing transfer.
Lost revenue estimated per stock-out
Root cause per SKU
Trend by month and by store
Stock by lot with expiry dates, near-expiry counts and value at risk, with batch upload from Excel for networks whose ERP does not manage lots.
Lots with expiry date per store
Near-expiry and expired counters
Batch upload from Excel
Projected stock-outs per SKU and store from the forecast and the open orders.
Lots are tracked with their dates; alerts fire weeks before a lot becomes unsellable.
Excess in one store is moved to the store that will sell it in time.
Every manager sees the status of their own store; the network sees the whole picture.
Coverage in days and value by lifecycle and ABC class, per store.
Lot and expiry per pharmacy, from receipt to sale.
-30 to -50 %
overstock and expiry loss
31 days
of stock on the pilot, target 30
Per lot
traceability for skincare and pharma
Stock by warehouse, transit and lot is imported several times a day.
Status and coverage are recomputed per SKU and store.
Alerts and transfer proposals reach the planner before the loss.
Connected to your ERP
Stock by warehouse and transit stock are imported every four hours. Lot numbers and expiry dates come from the ERP when it manages them, or from a CSV / SFTP file or the REST API when it does not.
Implementation
The same plan on every project. Your team spends a few hours a week; IRISYS does the rest.
ERP connector or CSV / SFTP export. Item master, stock by warehouse, sales history, open purchase orders. Data quality report.
Models trained on 12 to 24 months of history. Accuracy reviewed by category with the planner. Rules set: safety stock, service-level targets, case packs.
IRIS proposals compared every morning with the current process. Differences explained; rules and events added.
Proposals validated in IRIS and created in the ERP. Thresholds opened category by category. On-site or remote training.
Lot tracking uses the lot data your ERP already holds. Without lots, IRIS still manages status, coverage and stock-outs.
Every four hours by default; hourly for statuses. Intraday POS feeds are possible.
Yes. The Manager role sees its stores only; planners and executives see the network.
Yes. Alert rules on coverage, expiry window, overstock and stock-outs are defined per category and sent in IRIS or by email.
Yes. Central warehouse, regional warehouses, transit warehouses and stores are all locations with their own stock and rules.
Send us an anonymised sales export. We show you your forecasts and order proposals within 10 days.