SAP S/4HANA | SAP ECC

GIB Inventory

Inventory Control Built Directly into SAP

 

GIB Inventory interface in SAP displaying inventory analytics, ABC classification, and stock optimization dashboards with metrics highlighting $2M reduction in inventory and ROI achieved in 6 months.

Align safety stock, service targets, and replenishment logic inside SAP. 

GIB Inventory is the inventory control layer for SAP ECC and SAP S/4HANA. It analyzes historical material movements to calculate stock, consumption, and variability metrics, classifies materials based on value and demand variability, and assigns MRP and service level logic systematically. Instead of relying on static master data settings, planners can evaluate coverage against replenishment lead time, simulate parameter changes before execution, and apply approved updates directly within SAP. 

Continuously Monitor Inventory Performance

with complete control over your inventory strategy

  • Establish Inventory Transparency
  • Classify Materials Based on Value, Variability, and Lifecycle
  • Set MRP and Service Levels by Material Classification
  • Stabilize Replenishment and Coverage Logic
  • Simulate Inventory and Service-Level Adjustments
  • Match and Apply Corrected Parameters to SAP Master Data (MRP Matching)
  • Establish Inventory Transparency

    SAP inventory transparency dashboard within GIB showing stock value, safety stock, slow movers, dead stock, and controlling group analysis calculated from historical material movement data.
    GIB analyzes SAP material document history (movement data) to build statistically accurate inventory key figures across defined time horizons. Metrics such as stock value, average stock, slow movers, dead stock, and consumption variability are calculated directly from historical movements.

    Instead of reviewing what inventory looks like today, planners see how inventory behaves across plants, MRP areas, and Controlling Groups over time. Controlling Groups are categorically unique material groupings where different MRP strategies can be applied. These groupings are defined using different combinations of SAP material master fields and can vary by plant. 

  • Classify Materials Based on Value, Variability, and Lifecycle

    SAP inventory classification dashboard in GIB showing ABC and XYZ matrix analysis with product lifecycle (LRODI) segmentation by plant and Controlling Group.

    Through ABC, XYZ, and Product Life Cycle (LRODI) classification, GIB segments materials based on consumption value, demand regularity, and lifecycle stage. Classification logic is maintained centrally and applied consistently across plants or Controlling Groups.

    Planning strategies are then aligned to these classifications. For example, stable high-volume materials follow different safety stock and replenishment logic than irregular or slow-moving items. This prevents uniform planning rules from creating excess inventory or service risk. 

  • Set MRP and Service Levels by Material Classification

    SAP MRP Parameters and Service Level matrix in GIB showing rule-based assignment of MRP type, safety stock, and service levels by ABC/XYZ classification.

    GIB allows you to assign MRP parameters and service levels based on ABC/XYZ classification and Controlling Group.

    Instead of changing safety stock, MRP type, lot size, or service level one material at a time, you define the rules once in the GIB MRP Parameters matrix and GIB Service Level matrix. For example, A/X materials can follow one planning logic, while C/Z materials follow another.

    These rules are then applied consistently across all materials in that category. The defined service levels are used in both simulation and MRP matching, so calculated safety stock values and replenishment behavior follow the planning strategy you’ve set. This reduces manual master data maintenance and ensures proper inventory alignment with demand.

  • Stabilize Replenishment and Coverage Logic

    SAP inventory optimization screen with Range of Coverage (RoC) matrix comparing Replenishment Lead Time (RLT) analysis in GIB, highlighting supply risk and excess stock based on days of supply versus lead time.

    Replenishment Lead Time (RLT) is calculated using defined priority logic and compared to forward-looking Range of Coverage (RoC). This makes it possible to identify materials where coverage is too short relative to replenishment time, or excessively long relative to demand. Inventory availability is evaluated using days of supply versus actual lead time performance — not stock quantity alone.

    For example, if a material has 10-20 days of supply but requires 51-60 days to replenish based on the RLT, then it is immediately flagged as a supply risk (red section). Materials are positioned within a structured RoC matrix, allowing planners to identify exposure at a glance and drill into detailed analysis directly within SAP. 

  • Simulate Inventory and Service-Level Adjustments

    SAP MRP simulation screen in GIB showing safety stock and service level adjustments with projected impact on coverage, stock levels, and MRP proposals.

    Planners can simulate changes to safety stock levels, service targets, lot sizes, and reorder logic without immediately updating SAP master data. The impact on coverage, stock value, and MRP proposals can be reviewed before parameters are transferred. This allows adjustments to be tested and validated before they affect live planning runs. 

  • Match and Apply Corrected Parameters to SAP Master Data (MRP Matching)

    SAP MRP matching screen in GIB comparing recalculated safety stock, lot sizes, and service levels against current SAP material master data before transfer.GIB compares recalculated MRP parameters — including safety stock, lot-sizing procedures, MRP types, and service levels — against existing SAP material master data. Differences between current and proposed values are clearly identified, allowing planners to review and approve adjustments before they are written back. Updates follow a controlled process aligned with defined policy rules, ensuring parameter changes are deliberate and consistent across materials.

"By using GIB Inventory and GIB Operations, we have sped up our material planning processes by more than 67%. We have been able to reduce our scrapping by 73% - the interaction with GIB Forecast has played a significant role here - and last but not least, we have been able to increase our delivery readiness by 3%. "

Mehmet Kozan | Manager, Supply Chain Management at Baier & Schneider (Brunnen)

GIB Inventory interface in SAP showing safety stock simulation, MRP parameters, and ABC/XYZ segmentation with visual analysis of inventory issue, receipt, and stock quantities.

The Inventory Control Layer for SAP

Validate safety stock buffers using real consumption variability and lead time deviation 

Recalculate replenishment lead time (RLT) based on actual supplier performance 

Classify materials using dynamic ABC/XYZ segmentation to align planning effort with value and demand behavior

Simulate service level, safety stock, and replenishment adjustments before executing changes in ECC or S/4HANA

Part of the GIB Platform

 

Designed to increase the operational effectiveness of your SAP system, GIB delivers a unique set of solution applications purpose-built for supply chain performance. Embedded directly within SAP ECC and SAP S/4HANA, the GIB platform introduces built-in cross-functional intelligence, connecting data and decisions across demand, inventory, MRP, procurement, and production.

GIB Module Rotating Circle

Why Our Customers Love GIB Inventory

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inventory reduction in 11 months
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reduction in inventory while maintaining service levels
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inventory reduction in 12 months
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ROI achieved

We urgently needed a solution that would provide us with the necessary stock transparency by first identifying slow movers and determining dead stocks, second performing ABC/XYZ analysis quickly and reliably – until now we had been using Microsoft Excel for this – and third, reliably checking the level of safety stocks and reorder points. [...] GIB makes it easy to meet our customers' requirements as precisely as possible and at the same time always be at the cutting edge of technology.

Linda Wismeth

Materials Management & Analytics | BHS Corrugated

Stock value fell from 62M€ to 54M€ over an 18-month period - the main contributor was GIB.

Gunnar Glavey

Head of Tactical and Commercial Planning | Airbus

Thanks to company-wide visibility, the GIB Inventory module now supports inventory-optimized purchasing decisions and has significantly improved our delivery reliability. 

Udo Wessbecher

Head of IT, Supply Chain Management | ZF

The deciding factor for our choice of GIB Operations and GIB Inventory modules were, on one hand, the comparison that made it glaringly obvious to us how much we needed such a solution, and on the other hand, the consistent data transparency that this add-on ensures.

Industrial Machinery Manufacturer

+6B Revenue | 10,000+ Headcount

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