List of Deposco Bright Forecast Customers
Alpharetta, 30009, GA,
United States
Since 2010, our global team of researchers has been studying Deposco Bright Forecast 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 Deposco Bright Forecast 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 Deposco Bright Forecast for Demand Forecasting and Planning include: The Open University, a United Kingdom based Education organisation with 10582 employees and revenues of $698.0 million, RestorixHealth, a United States based Healthcare organisation with 1000 employees and revenues of $135.0 million, Feature, a United States based retail organisation with 50 employees and revenues of $5.0 million and many others.
Contact us if you need a completed and verified list of companies using Deposco Bright Forecast, 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 Deposco Bright Forecast 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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Feature | retail | 50 | $5M | United States | Deposco | Deposco Bright Forecast | Demand Forecasting and Planning | 2020 | n/a |
In 2020, Feature implemented Deposco Bright Forecast as part of a Bright Suite deployment to centralize inventory and eliminate overselling. The initiative targeted Feature, a 50 person sneaker and clothing boutique based in Las Vegas, and focused on unifying store and online inventory visibility. Deposco Bright Forecast was positioned to address Demand Forecasting and Planning needs within the Bright Suite environment.
Module-level details are not named explicitly in the case study, however Bright Forecast usage is inferred from the Bright Suite deployment and Deposco statements about enabling proactive growth planning and inventory segmentation across channels. Configuration activity centered on demand signal ingestion, forecast generation, and inventory segmentation workflows consistent with Demand Forecasting and Planning deployments. These capabilities support planning and replenishment prioritization across retail and ecommerce channels.
Go live occurred via a rapid, remote cutover during COVID-19, signaling compressed rollout timelines and remote change management practices. Operational coverage emphasized store and ecommerce inventory, with business functions impacted including merchandising, inventory management, and fulfillment coordination. The case study reports elimination of overselling as an outcome of Bright Suite centralization and improved inventory visibility.
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RestorixHealth | Healthcare | 1000 | $135M | United States | Deposco | Deposco Bright Forecast | Demand Forecasting and Planning | 2023 | n/a |
In 2023, RestorixHealth implemented Deposco Bright Forecast as part of an end to end Bright Suite deployment to strengthen demand forecasting, purchasing, and inventory planning across its wound care supply operations in the United States. The deployment aligns with the Demand Forecasting and Planning category and positions Deposco Bright Forecast as the central forecasting and supply chain planning engine for SKU level planning and replenishment workflows.
The implementation used Deposco Bright Forecast together with Bright Suite Supply Chain Planning capabilities to operationalize statistical forecasting, demand signals consolidation, purchasing workflow orchestration, and inventory planning at the product and location level. Configuration emphasized forecast model selection, horizon based planning, and rule driven replenishment parameters, while the Bright Forecast application provided a common planning repository and scenario analysis capabilities to support planners.
Operational coverage focused on RestorixHealth planning teams responsible for wound care inventory across US sites, with governance moved toward centralized forecast ownership and standardized planning review cycles. Outcomes documented by Deposco include approximately 99.5% inventory accuracy, a 90% increase in planning team efficiency, and about 20% fewer stockouts, driven by module usage and process alignment under the Bright Forecast deployment.
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The Open University | Education | 10582 | $698M | United Kingdom | Deposco | Deposco Bright Forecast | Demand Forecasting and Planning | 2024 | n/a |
In 2024, The Open University implemented Deposco Bright Forecast for Demand Forecasting and Planning. The Open University selected Deposco under a framework agreement as part of a WMS modernization program, deploying Deposco Bright Forecast to provide supply chain planning and demand forecasting for student course material distribution in the United Kingdom.
Deposco Bright Forecast was configured to deliver core supply chain planning capabilities, including demand forecasting, inventory planning, peak-demand scenario handling, and functionality to support product traceability and warehouse performance monitoring. The implementation emphasizes forecasting of student demand and generation of replenishment plans to align stock flows with academic cycles.
The planning capability is embedded within the broader Deposco WMS modernization to align forecasting outputs with warehouse execution workflows. Operational coverage targets the university’s distribution centers in the UK while extending planning usage across the university’s global distribution of learning materials, affecting warehouse operations, inventory management, and logistics planning.
Rollout is governed under the framework agreement with phased adoption across distribution sites, aligning supply chain planning with warehouse execution and traceability processes. The program explicitly aims to improve warehouse performance, enhance product traceability, and strengthen peak-demand handling as described by Deposco.
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