Measure

Analytics and BI for supply chain directors

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.

Who uses it
  • CEO and CFO
  • Supply chain director
  • Retail operations

What is inside

01

KPI dashboards

Service level, fill rate, forecast accuracy, days of stock, stock-outs and overstock, per store, brand and category.

02

Business analysis

Store performance, category performance, ABC, sell-through, margin and turnover, with drill-down.

03

AI insights

Plain-language findings on what changed and why, generated from your data, with the figures behind them.

04

What-if scenarios

Change lead time, service-level target or budget and see the effect on stock and stock-outs before you decide.

05

Exportable reports

Every table exports to Excel and CSV; scheduled reports by email.

06

Alerts and alert rules

Rules on any KPI, sent in IRIS or by email, with severity and owner.

The module, screen by screen

01

Business overview

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

Business overview
02

Operations dashboard

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

Operations dashboard
03

What-if scenarios

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

What-if scenarios
04

Network parameters

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

Network parameters

Key benefits

  • One source of truth

    Service level, accuracy, stock health and sales in one place for the weekly review.

  • Per store, per brand

    Every KPI drills down to the store and the reference behind it.

  • Decisions tested first

    What-if scenarios show the effect of a rule change before it is applied.

  • Alerts, not reports

    Rules on any KPI notify the right person instead of waiting for Monday.

  • Insights in plain language

    AI insights explain what changed and why, with the figures behind.

  • Exports for your BI

    CSV, Excel and the REST API feed Power BI or Tableau.

What it changes

1

source of truth for the Monday review

Per store

service level and forecast accuracy

Excel / CSV

export of every table

How it works

  1. Forecast, stock and orders feed the KPIs automatically.

  2. Dashboards and reports are filtered by role and scope.

  3. Alerts and scenarios turn findings into actions.

Connected to your ERP

Your data, your BI

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.

Integrations

Your data, your BI

Implementation

Implementation

The same plan on every project. Your team spends a few hours a week; IRISYS does the rest.

  1. Week 1

    Connect and check

    ERP connector or CSV / SFTP export. Item master, stock by warehouse, sales history, open purchase orders. Data quality report.

  2. Week 2

    Calibrate

    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.

  3. Week 3

    Run in parallel

    IRIS proposals compared every morning with the current process. Differences explained; rules and events added.

  4. Week 4

    Go live

    Proposals validated in IRIS and created in the ERP. Thresholds opened category by category. On-site or remote training.

Questions about this module

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