KPI dashboards
Service level, fill rate, forecast accuracy, days of stock, stock-outs and overstock, per store, brand and category.
Measure
Service level, forecast accuracy, stock health, in one place
KPI dashboards, business analysis by store and category, AI insights, what-if scenarios, exportable reports and alert rules. Built for the Monday morning review, not for a data team.
Service level, fill rate, forecast accuracy, days of stock, stock-outs and overstock, per store, brand and category.
Store performance, category performance, ABC, sell-through, margin and turnover, with drill-down.
Plain-language findings on what changed and why, generated from your data, with the figures behind them.
Change lead time, service-level target or budget and see the effect on stock and stock-outs before you decide.
Every table exports to Excel and CSV; scheduled reports by email.
Rules on any KPI, sent in IRIS or by email, with severity and owner.
Revenue, units, full-year projection, forecast, gross margin and inventory value for the period, compared with the previous year and with budget, per brand, category, city and store.
Actuals vs forecast vs budget
Period and scope filters
Export report to Excel
Forecasts, orders, inventory and sales anomalies ranked by business impact, each opening the SKUs and stores behind it.
Immediate action, watch out, under control
Anomaly snapshot updated with each import
Top-10 brands view
Change lead time, service-level target, budget or supply constraints and see the effect on stock, stock-outs and cost before deciding.
Sensitivity analysis on one parameter
Demand, supply and budget scenarios
Service-level trade-off
Coverage targets, service-level targets and forecasting defaults are set once per network and overridden per store, category or product when needed.
Global, store and product parameters
Change history
Templates for new stores
Service level, accuracy, stock health and sales in one place for the weekly review.
Every KPI drills down to the store and the reference behind it.
What-if scenarios show the effect of a rule change before it is applied.
Rules on any KPI notify the right person instead of waiting for Monday.
AI insights explain what changed and why, with the figures behind.
CSV, Excel and the REST API feed Power BI or Tableau.
1
source of truth for the Monday review
Per store
service level and forecast accuracy
Excel / CSV
export of every table
Forecast, stock and orders feed the KPIs automatically.
Dashboards and reports are filtered by role and scope.
Alerts and scenarios turn findings into actions.
Connected to your ERP
Every report exports to CSV and Excel, and the REST API exposes forecasts, stock, orders and KPIs for Power BI, Tableau or your data warehouse. Scheduled reports arrive by email.
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.
Yes. Reports export to CSV and the REST API exposes forecasts, stock and KPIs for Power BI or Tableau.
Executives see the network; managers see their stores; planners see their scope. Roles are configured per user.
From your own data, with the underlying figures shown next to each finding. Nothing leaves your instance.
Yes. Scheduled reports send the KPI summary, per scope, at the frequency you choose.
Yes. The interface is available in English, French and Arabic with right-to-left layout.
Send us an anonymised sales export. We show you your forecasts and order proposals within 10 days.