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.
Apply Filters For 10+ Million Software Purchases
- Workforce Management
- Workforce Scheduling
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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University of Arkansas | Education | 4850 | $708M | United States | WorkEasy Software | WorkEasy Scheduling | Workforce Scheduling | 2022 | n/a | In 2022, the University of Arkansas is listed by WorkEasy Software as a customer of WorkEasy Scheduling, the vendor application in the Workforce Scheduling category. The vendor listing indicates likely use of WorkEasy Scheduling for HR and academic workforce scheduling and time management within the United States, and the university’s scale of roughly 4,850 employees frames the deployment for campus HR and departmental scheduler roles rather than a single-point tool. Specific implementation documentation is not published by the vendor, so module selection and architecture are inferred from product portfolio placement rather than an explicit case study. Because explicit integration and rollout details are not disclosed, module usage is inferred to follow standard Workforce Scheduling capabilities, including schedule creation and publishing, shift assignment and swap workflows, employee self-service for availability and requests, and time capture interfaces that support payroll or time and attendance processes. WorkEasy Scheduling is therefore likely positioned as the scheduling and time management layer for HR and academic operations, with governance and workflow ownership residing in campus HR and department scheduling teams. | |
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Dairy Farm Group | Retail | 230000 | $27.0B | Hong Kong | Workforce Optimizer | Workforce Optimization | Workforce Management | 2021 | n/a | In 2021, Dairy Farm Group implemented Workforce Optimization from Workforce Optimizer, deploying an AI powered workforce scheduling, time and attendance and labor demand forecasting solution across 900 stores covering 9,000 staff. The implementation targeted retail and HR operations across Asia with the stated goals to reduce payroll errors and improve rostering fairness. Workforce Optimization included explicit modules for time and attendance, labor demand forecasting, shift and task optimization, and employee self-service. The configuration centralized schedule generation using AI driven demand signals, automated time capture to improve payroll accuracy, and applied shift and task optimization to better align staffing to forecasted store demand. Operational coverage focused on store managers and HR teams across the 900 store footprint, with the employee self-service module enabling shift viewing, basic roster interactions, and self-managed availability for store level staff. Governance was structured to retain regional HR oversight while surfacing automated rosters and exception alerts to store managers for approval and reconciliation. Workforce Optimization for Dairy Farm Group is categorized as Workforce Management and was positioned to reduce payroll errors and improve rostering fairness as primary outcomes. The deployment emphasized AI powered scheduling, integrated time capture, and demand forecasting as core functional changes to retail workforce operations. | |
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Government | 2200 | $8.6B | Singapore | Workforce Optimizer | Workforce Optimization | Workforce Management | 2020 | n/a |
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Aerospace and Defense | 6000 | $2.5B | United States | Workforce Optimizer | Workforce Optimization | Workforce Management | 2003 | n/a |
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Transportation | 16697 | $11.1B | United Kingdom | Workia | Workia | Workforce Management | 2024 | n/a |
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Professional Services | 450 | $650M | Switzerland | Workia | Workia | Workforce Management | 2024 | n/a |
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Professional Services | 27345 | $14.0B | United States | Workia | Workia | Workforce Management | 2024 | n/a |
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Construction and Real Estate | 1167 | $201M | France | SIGMA RH | SIGMA Workforce Management | Workforce Management | 2021 | n/a |
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Construction and Real Estate | 150 | $25M | Australia | simPRO Group | simPRO Scheduling and Dispatch | Workforce Scheduling | 2014 | n/a |
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Construction and Real Estate | 20 | $3M | New Zealand | simPRO Group | simPRO Scheduling and Dispatch | Workforce Scheduling | 2022 | n/a |
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