List of Oracle Retail Demand Forecasting Customers
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Since 2010, our global team of researchers has been studying Oracle Retail Demand 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 Oracle Retail Demand 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 Oracle Retail Demand Forecasting for Demand Forecasting and Planning include: Kroger, a United States based Retail organisation with 409000 employees and revenues of $147.12 billion, Best Buy, a United States based Retail organisation with 85000 employees and revenues of $41.53 billion, Stop & Shop, a United States based Retail organisation with 60000 employees and revenues of $16.00 billion, Riachuelo, a Brazil based Retail organisation with 40000 employees and revenues of $9.20 billion, Office Depot, a United States based Retail organisation with 38000 employees and revenues of $8.60 billion and many others.
Contact us if you need a completed and verified list of companies using Oracle Retail Demand 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 Oracle Retail Demand 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 | Insight Source |
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Alkor And Co | Retail | 400 | $70M | Russia | Oracle | Oracle Retail Demand Forecasting | Demand Forecasting and Planning | 2012 | Weigandt Consulting | In 2012, Alkor And Co implemented Oracle Retail Demand Forecasting to support supply chain planning for the L'etoile cosmetics and fragrances business unit. The implementation targeted Demand Forecasting and Planning capabilities to standardize demand signal processing and replenish planning across retail assortments and store locations. The deployment emphasized Oracle Retail Demand Forecasting modules, together with Oracle Retail Order (RO) and a custom replenishment layer. Implementation activities included parameter calculation by RDF and RO on historical sales and inventory data, and the instrumenting of emulation processes to simulate replenishment and stock level outcomes based on those parameters. Weigandt Consulting served as the system integrator and supply chain consultant, executing emulation tests and analyzing emulation results as part of the validation workflow. The consulting role focused on using emulation outputs to confirm replenishment logic and to govern the configuration and rollout of the custom replenishment module within the Demand Forecasting and Planning environment. | |
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Best Buy | Retail | 85000 | $41.5B | United States | Oracle | Oracle Retail Demand Forecasting | Demand Forecasting and Planning | 2012 | n/a | In 2012, Best Buy deployed Oracle Retail Demand Forecasting for Demand Forecasting and Planning. The implementation was configured to generate forecasts for over 400 mobile phone accessories for each of Best Buy's stores, making Oracle Retail Demand Forecasting the central forecasting engine for that product subset. The implementation focused on SKU and store level demand models, time series decomposition, seasonality profiling, and parameterized smoothing and exception detection to support both item level and aggregated forecasts. Configuration included hierarchical forecast management and SKU clustering to manage a large accessory assortment, with forecast cadence and model parameter sets tuned for store by SKU forecasting workflows. Operational ownership centered on merchandising and inventory planning teams, with processes established for forecast review, exception handling, and forecast reconciliation across store level and category planning. Best Buy Oracle Retail Demand Forecasting Demand Forecasting and Planning supported merchandising planners and supply chain planners by providing structured, store level forecasts for assortment and replenishment planning. | |
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C&A Moda Mexico | Retail | 4000 | $350M | Mexico | Oracle | Oracle Retail Demand Forecasting | Demand Forecasting and Planning | 2019 | n/a | In 2019, C&A Moda Mexico deployed Oracle Retail Demand Forecasting to establish enterprise forecasting capability in the Demand Forecasting and Planning category across its retail planning organization. Oracle Retail Demand Forecasting was implemented as the statistical forecasting engine to standardize SKU level and store level forecasts for merchandising and supply chain planning teams. The implementation combined Oracle Retail Demand Forecasting with Oracle MFP/ LP for downstream planning workflows, and a reporting stack that included Reporting Services C&A and Tableau for visualization and analysis. Operational tools listed in the deployment included Paquetería Office for ad hoc spreadsheet work, Share Point for document and version control, and Yammer for cross-team collaboration and change communication. Integrations were configured to publish forecast outputs into Reporting Services C&A and Tableau dashboards, while Share Point and Yammer served as the collaboration and workflow repositories for planning cycles. The deployment supported merchandising, demand planning, allocation and replenishment functions within C&A Moda Mexico, aligning statistical forecasts with operational planning for a 4000 employee retail organization headquartered in Mexico. Forecast governance focused on centralized model management, scheduled forecast runs, promotion and seasonality calendars, and controlled forecast handoffs into Oracle MFP/ LP for allocation and replenishment processes. Versioning and approval workflows were anchored in Reporting Services C&A and Share Point to support recurring planning cadences and model change control. | |
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Retail | 14000 | $3.5B | Brazil | Oracle | Oracle Retail Demand Forecasting | Demand Forecasting and Planning | 2014 | n/a |
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Retail | 6300 | $1.2B | Chile | Oracle | Oracle Retail Demand Forecasting | Demand Forecasting and Planning | 2016 | n/a |
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Retail | 1000 | $300M | Spain | Oracle | Oracle Retail Demand Forecasting | Demand Forecasting and Planning | 2012 | n/a |
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Retail | 50000 | $6.0B | Spain | Oracle | Oracle Retail Demand Forecasting | Demand Forecasting and Planning | 2017 | n/a |
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Retail | 3450 | $450M | Bolivia | Oracle | Oracle Retail Demand Forecasting | Demand Forecasting and Planning | 2017 | Veltio |
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Retail | 11000 | $4.9B | United States | Oracle | Oracle Retail Demand Forecasting | Demand Forecasting and Planning | 2019 | n/a |
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Retail | 21500 | $4.4B | Germany | Oracle | Oracle Retail Demand Forecasting | Demand Forecasting and Planning | 2012 | Weigandt Consulting |
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Buyer Intent: Companies Evaluating Oracle Retail Demand Forecasting
- Spire, a India based Professional Services organization with 170 Employees
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