Manufacturing · S&OP ·

Supply chain & S&OP

Balance supply and demand: service level, work-in-progress, lead times and inventory turnover.

Illustrative preview of the SAP Analytics Cloud dashboard Supply chain & S&OP for the Manufacturing industry: metrics Service level, WIP inventory, Lead time, Turnover, analyzed by SKU, Supplier, Site.
Illustrative preview of a possible rendering in SAC. Brand colors and structure; synthetic figures.

KPIs included

  • Service level
  • WIP inventory
  • Lead time
  • Turnover

Analysis dimensions

  • SKU
  • Supplier
  • Site

About this template

Balance supply and demand: service level, work-in-progress, lead times and inventory turnover. Designed for teams in the Manufacturing industry, the model pre-wires 4 key metrics — including Service level and WIP inventory — analyzable across 3 analysis axes (SKU, Supplier, Site). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.

After downloading, import Supply chain & S&OP into SAC Modeler (Files → New Model → Import data from a file), map the 3 dimensions and 4 measures, then build your Story. The provided dataset contains 720 to 960 rows with realistic values for the Manufacturing industry, available as .xlsx (multi-sheet workbook), .csv (flat table) and .package (ZIP bundle with model.json, data.csv and README).

FAQ

What is the "Supply chain & S&OP" template for?

It provides a ready-to-use SAC structure to drive s&op in the Manufacturing industry. The standard business KPIs and dimensions are already defined, saving you the modeling phase.

Which KPIs are included?

The template includes 4 metrics: Service level, WIP inventory, Lead time, Turnover. Each is computed across the dimensions SKU, Supplier, Site.

How do I import it into SAP Analytics Cloud?

Download the .csv or .xlsx format, then in SAC: Files → New Model → Import data from a file. Map the columns (Dimensions then Measures), validate the types and build your Story. Allow 5 to 10 minutes for an operational model.