List of GAINS Demand Planning & Forecasting Customers
Atlanta, 30309, GA,
United States
Since 2010, our global team of researchers has been studying GAINS Demand Planning & Forecasting 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 GAINS Demand Planning & Forecasting for Demand Forecasting and Planning 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 GAINS Demand Planning & Forecasting for Demand Forecasting and Planning include: L'Oreal, a France based Retail organisation with 90000 employees and revenues of $47.83 billion, McNaughton-McKay, a United States based Distribution organisation with 900 employees and revenues of $7.00 billion, Invacare, a United States based Life Sciences organisation with 3000 employees and revenues of $872.5 million and many others.
Contact us if you need a completed and verified list of companies using GAINS Demand Planning & Forecasting, 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 GAINS Demand Planning & Forecasting 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!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Invacare | Life Sciences | 3000 | $873M | United States | GAINSystems | GAINS Demand Planning & Forecasting | Demand Forecasting and Planning | 2021 | n/a |
In 2021, Invacare implemented GAINS Demand Planning & Forecasting for Demand Forecasting and Planning to centralize SKU level demand forecasting and inventory planning across its distribution footprint. The project targeted inventory planning, order management, and customer service functions to support operations across more than 100 markets.
The implementation emphasized dynamic forecast model selection and synchronized SKU by location planning as core functional capabilities of GAINS Demand Planning & Forecasting. The deployment included configuration of inventory planning rules, multi echelon economic order logic as reflected by MEIO, and automated selection of forecasting algorithms to match SKU demand profiles and replenishment cadence.
GAINS Demand Planning & Forecasting was implemented alongside MEIO to align demand signals with inventory optimization, creating a synchronized SKU by location planning process. Operational coverage included supply chain planning, distribution centers, and customer service workflows, enabling inventory policy enforcement at the SKU by location level across the companys market footprint.
The case study documents outcomes explicitly, noting inventory investment was reduced by over 55 percent and customer service levels increased from approximately 60 percent to 97 percent across more than 100 markets. The deployment also reduced receiving and handling costs and lowered expediting activity, outcomes described as key benefits of the GAINS Demand Planning & Forecasting implementation.
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L'Oreal | Retail | 90000 | $47.8B | France | GAINSystems | GAINS Demand Planning & Forecasting | Demand Forecasting and Planning | 2025 | n/a |
In 2025, L'Oreal implemented GAINS Demand Planning & Forecasting. The deployment targeted Demand Forecasting and Planning to improve product availability and reduce expired, excess and obsolete inventory across L'Oreal's global supply chain.
The implementation configured AI powered demand planning, multi echelon inventory optimization MEIO and inventory optimization capabilities within GAINS Demand Planning & Forecasting. Functional modules included forecast generation, MEIO enabled safety stock optimization and inventory replenishment logic aligned to SKU echelon and the distribution network. The configuration emphasized automated forecast signals and inventory rules to balance availability and waste.
Operational scope covered four divisions globally, with supply chain planning and inventory management teams using the application to align demand forecasts and stocking decisions. The deployment standardized forecasting and inventory practices across divisional planning teams and distribution operations to create a consistent Demand Forecasting and Planning capability.
The program was fully implemented in under 12 months and delivered improved service levels while reducing expired, excess and obsolete inventory across L'Oreal's global supply chain. Rollout included configuring planning workflows and inventory policy rules to operationalize MEIO outputs within existing planning processes.
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McNaughton-McKay | Distribution | 900 | $7.0B | United States | GAINSystems | GAINS Demand Planning & Forecasting | Demand Forecasting and Planning | 2021 | n/a |
In 2021, McNaughton-McKay implemented GAINS Demand Planning & Forecasting in a Demand Forecasting and Planning deployment aimed at improving distribution supply chain responsiveness and inventory efficiency. The GAINS Demand Planning & Forecasting deployment focused on demand planning, replenishment planning, and multi echelon inventory optimization across the company's distribution operations.
The implementation included modules for demand forecasting, statistical forecast automation, multi echelon inventory optimization MEIO, and replenishment planning, configured to enforce service level driven safety stock and automated order recommendations. Configuration emphasized forecast model selection by SKU and location, replenishment rules, and rule based order release to support higher service performance.
The solution integrated with SAP ERP to exchange sales orders, inventory balances, and purchase orders, creating closed loop planning between GAINS Demand Planning & Forecasting and transactional systems. Operational coverage centered on supply chain and distribution planning functions, and the rollout delivered near term measurable outcomes documented in the GAINS case study, including service levels at 97 percent, a 70 percent faster response to customer order changes, and a 30 percent increase in inventory turns, while governance aligned replenishment workflows to the new planning outputs.
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