Apps Purchases: 10+ Million Software Purchases
Founded in 2010, APPS RUN THE WORLD is a leading technology intelligence and market-research company devoted to the application space. Leveraging a rigorous data-centric research methodology, we ask the simple B2B sales intelligence question: Who’s buying enterprise applications from whom and why?
Our global team of 50 researchers has been studying the digital transformation initiatives being undertaken by 2 million + companies including technographic segmentation of 10 million ERP, EPM, CRM, HCM, Procurement, SCM, Treasury software purchases, 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.
Apps Run The World Buyer Insight and Technographics Customer Database has over 100 data fields that detail company usage of emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database, and different on-prem and cloud apps by function, customer size (employees, revenues), industry, country, implementation status, year deal won, partner involvement, Line of Business Key Stakeholders and key decision-makers contact details, including the systems being used by Fortune 1000 and Global 2000 companies.
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- SCM
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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Brooks_x000D_ | Manufacturing | 1800 | $1.0B | United States | Business Forecast Systems | Forecast Pro | Demand Forecasting and Planning | 2001 | n/a | In 2001 Brooks implemented Forecast Pro as its statistical forecasting engine within a Demand Forecasting and Planning initiative focused on demand planning and S&OP in the United States. The deployment centralized SKU level forecast generation and established a formal collaborative forecasting process between planning, merchandising, and supply chain teams. Forecast Pro was configured to produce SKU level statistical forecasts and to support collaborative adjustments and consensus workflows, enabling planners to reconcile exceptions and finalize demand plans. Forecast Pro functioned as the primary demand model, driving forecast generation, scenario comparisons, and version control for S&OP cadence. Finalized forecasts from Forecast Pro were integrated into the company ERP system to feed production smoothing and replenishment processes, creating an operational link between statistical demand outputs and manufacturing and distribution planning. The operational scope covered demand planning and S&OP teams across Brooks operations in the United States, aligning merchandising, planning, and supply chain execution. Governance changes emphasized a collaborative forecasting process that handed off approved demand plans from Forecast Pro into ERP driven execution. According to the vendor case study the implementation delivered approximately 40 percent improved forecast accuracy and produced large reductions in unfulfilled demand and closeouts, while improving production smoothing and margins. | |
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Honeywell | Manufacturing | 95000 | $36.7B | United States | Business Forecast Systems | Forecast Pro | Demand Forecasting and Planning | 2010 | n/a | In 2010, Honeywell Safety Products ran a parallel trial and then deployed Forecast Pro TRAC to standardize forecasting across approximately 32,000 series and to support its SIOP process for North America. The deployment targeted Demand Forecasting and Planning for demand planning and SIOP in the United States, with Canada implemented about a year later. Forecast Pro TRAC was configured for series level statistical forecasting, exception-based review and consolidated SIOP inputs, aligning with Demand Forecasting and Planning workflows. The implementation centralized forecasting models across product series and introduced weighted error measurement to drive quarterly forecast review cadence. Operational coverage focused on Honeywell Safety Products in North America, covering the United States initially and Canada in a subsequent phase. The rollout followed a parallel validation period to operationalize model outputs into the SIOP cadence, and standardized demand planning inputs across sales, operations and inventory teams. Measured outcomes included a step change in forecast accuracy, weighted MAPE improving from approximately 24.4 percent to 12.9 percent across quarters, alongside reported gains in OTTR and inventory turns. Forecast Pro is documented as the application used to deliver these Demand Forecasting and Planning outcomes and to standardize series level forecasting in the region. | |
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Manufacturing | 633 | $194M | United States | John Galt | John Galt Atlas SCM | Supply Chain Management | 2024 | n/a |
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Manufacturing | 30 | $3M | United States | Katana Technologies | Katana MRP | Inventory Management | 2019 | n/a |
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Manufacturing | 300 | $30M | United States | Setlog | Setlog Osca | Supply Chain Management | 2023 | n/a |
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Manufacturing | 380 | $90M | United States | SYSPRO | Syspro Inventory Management | Inventory Management | 1996 | n/a |
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Manufacturing | 110 | $10M | United States | VAI | VAI S2K Material Requirements Planning (MRP) | Order Management | 2011 | n/a |
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Manufacturing | 500 | $50M | United States | Conexiom | Conexiom Sales Order Automation | Order Management | 2024 | n/a |
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Manufacturing | 2500 | $875M | United States | Plex Systems | Plex ERP - Inventory Management | Inventory Management | 2013 | n/a |
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Manufacturing | 200 | $76M | United States | Plex Systems | Plex ERP - Inventory Management | Inventory Management | 2020 | n/a |
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