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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Panda Express | Retail | 39000 | $3.0B | United States | WorkEasy Software | WorkEasy Scheduling | Workforce Scheduling | 2022 | n/a | In 2022, Panda Express implemented WorkEasy Scheduling, deploying the vendor application in the Workforce Scheduling category to address restaurant and hospitality workforce scheduling needs in the United States. This placement is documented on the WorkEasy Software site where Panda Express appears as a customer logo on the vendor scheduling product page, while Panda Express specific deployment details and measurable outcomes are not publicly disclosed. WorkEasy Scheduling is presented as a workforce scheduling solution and the implementation narrative is therefore centered on standard Workforce Scheduling capabilities, including shift creation and publishing, employee availability and time off management, mobile schedule access for hourly staff, and schedule change notifications. Module usage for Panda Express is inferred from the presence of the Panda Express logo on the vendor site and the vendor's scheduling product page rather than from a dedicated Panda Express case study, so specific configured modules and customizations are not publicly documented. Public information does not list named integrations or an implementation services partner for the Panda Express listing, and Panda Express specific integration points are not disclosed. WorkEasy Scheduling as a Workforce Scheduling product typically operates alongside point of sale systems, payroll and HR systems, and store-level operations workflows, however any integrations with Panda Express payroll, HRIS, or POS systems are not publicly stated. Governance, rollout sequencing, and operational ownership for the Panda Express deployment are not described in available vendor materials, so details on change management and governance models remain undisclosed. | |
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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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Retail | 3000 | $550M | United States | TimeForge | TimeForge Employee Scheduling | Workforce Scheduling | 2023 | n/a |
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Retail | 342 | $60M | Norway | Timegrip | Timegrip Scheduling | Workforce Scheduling | 2025 | n/a |
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Retail | 719 | $344M | Sweden | Valsoft Corporation | Valsoft Tiltid | Workforce Management,Workforce Scheduling | 2021 | n/a |
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Retail | 90 | $5M | Hong Kong | Workstem | Workstem Rostering | Workforce Scheduling | 2024 | n/a |
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Retail | 1725 | $372M | United States | Zebra Technologies | Zebra Workcloud Scheduling | Workforce Scheduling | 2021 | n/a |
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Retail | 13000 | $3.8B | United States | Zebra Technologies | Zebra Workcloud Scheduling | Workforce Scheduling | 2022 | n/a |
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Retail | 650 | $220M | United States | Zebra Technologies | Zebra Workcloud Scheduling | Workforce Scheduling | 2022 | n/a |
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Retail | 38000 | $8.6B | United States | Zebra Technologies | Zebra Workcloud Workforce Optimization Suite | Workforce Management | 2015 | n/a |
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