List of SAP EIS Customers
Walldorf, 69190,
Germany
Since 2010, our global team of researchers has been studying SAP EIS customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased SAP EIS for Inventory Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using SAP EIS for Inventory Management include: Kellanova, a United States based Consumer Packaged Goods organisation with 23000 employees and revenues of $13.40 billion, ConAgra Foods, a United States based Consumer Packaged Goods organisation with 18300 employees and revenues of $11.61 billion, Celestica, a Canada based Manufacturing organisation with 21890 employees and revenues of $7.96 billion, Seoul Semiconductor, a South Korea based Manufacturing organisation with 3000 employees and revenues of $1.00 billion and many others.
Contact us if you need a completed and verified list of companies using SAP EIS, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The SAP EIS customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Celestica | Manufacturing | 21890 | $8.0B | Canada | SAP | SAP EIS | Inventory Management | 2008 | n/a |
In 2008, Celestica began using SmartOps to perform multi-stage inventory optimization and to integrate customer demand signals with ERP, an implementation that is now represented by SAP Enterprise Inventory and Service-Level Optimization, SAP EIS. This deployment aligns with the Inventory Management category and centered on service-level and inventory placement decisioning to support manufacturing throughput and order fulfillment requirements.
Celestica leveraged the SmartOps MIPO and EIO capability for multi-echelon inventory planning, safety stock and service-level optimization, and inventory allocation across production nodes. Configuration emphasized multi-stage inventory optimization workflows and rules-based placement logic to govern stock positioning across upstream and downstream stocking locations.
Integrations focused on ingesting customer demand signals into ERP and surfacing optimized replenishment instructions to plant-level planning and procurement processes, enabling inventory allocation across Celestica’s global manufacturing sites. Operational coverage included inventory allocation and production planning functions, tying demand signal inputs to inventory placement and replenishment decisions.
Governance changes aligned inventory policy, signal routing, and planning exception workflows to the new optimization engine, embedding service-level optimization into routine planning cycles. Reported outcomes from the implementation included improved visibility, lower inventory and optimized inventory placement, reflecting tighter alignment between demand signals and Inventory Management across the manufacturing footprint.
|
 |
ConAgra Foods | Consumer Packaged Goods | 18300 | $11.6B | United States | SAP | SAP EIS | Inventory Management | 2008 | n/a |
In 2008 ConAgra Foods deployed SmartOps Enterprise Inventory Optimization to establish demand-driven inventory policies and improve forecast accuracy, finished-goods in-stock rates and working-capital efficiency across its U.S. supply chain. The SmartOps functionality later became part of SAP Enterprise Inventory and Service-Level Optimization, SAP EIS, and ConAgra’s program is reported in the context of that application. This work addresses Inventory Management through centralized policy and service-level controls applied to finished-goods planning and replenishment.
ConAgra configured core inventory optimization capabilities within the SmartOps solution and the SAP EIS context, including safety-stock and target service-level policy configuration, scenario modeling for demand variability, and standardized replenishment rule sets. The implementation emphasized demand-driven inventory policy setting and forecast-aligned stocking parameters, consistent with Inventory Management functional workflows such as multi-echelon inventory planning and service-level optimization.
Operational coverage was across ConAgra’s U.S. supply chain, impacting supply chain planning, inventory management and retail replenishment processes. Governance changes focused on formalizing inventory policy ownership and cross-functional collaboration between planning and distribution teams. ConAgra reported improved collaboration, reduced finished-goods inventory of about 7 percent, and better case-fill and store in-stock performance as outcomes of the deployment.
|
 |
Kellanova | Consumer Packaged Goods | 23000 | $13.4B | United States | SAP | SAP EIS | Inventory Management | 2004 | n/a |
In 2004, Kellanova implemented SmartOps Multistage Inventory Planning and Optimization integrated with SAP, an effort that records treat as an SAP EIS related Inventory Management implementation. The program targeted multistage inventory planning and dynamic safety stock setting across the company supply chain in the United States.
The deployment leveraged SmartOps Multistage Inventory Planning and Optimization capabilities, inferred to align with SmartOps EIO and MIPO functionality which was later incorporated into SAP Enterprise Inventory and Service-Level Optimization SAP EIS. Module-level activity included multiechelon safety stock optimization, inventory target setting, and automated recalculation of inventory targets consistent with Inventory Management practice.
Integration architecture connected the planning engine to SAP transactional systems to ingest demand signals and inventory positions, enabling scheduled and event driven safety stock updates. Operational coverage was the United States supply chain, affecting inventory planning and supply chain planning functions across manufacturing and distribution nodes.
Governance and process changes centralized inventory target orchestration in the planning layer and increased cadence of safety stock updates, requiring model version control and cross functional approval workflows between inventory management and supply chain planning teams. Rollout implied standardized planning run cadence and controls for recalibration of optimization models to ensure consistent target setting.
Reported outcomes from the source include improved product availability and reduced total inventory in the United States, with more frequent, granular safety stock updates and lower inventory investment. The implementation is treated in historical records as an SAP EIS related Inventory Management deployment due to the later acquisition and incorporation of SmartOps functionality into SAP EIS.
|
 |
|
Manufacturing | 3000 | $1.0B | South Korea | SAP | SAP EIS | Inventory Management | 2017 | n/a |
|
Buyer Intent: Companies Evaluating SAP EIS
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||