List of Zira.ai Customers
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Since 2010, our global team of researchers has been studying Zira.ai 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 Zira.ai for Workforce Scheduling 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 Zira.ai for Workforce Scheduling include: TPBank, a Vietnam based Banking and Financial Services organisation with 7939 employees and revenues of $664.0 million, Boathouse Asian Eatery, a United States based Retail organisation with 25 employees and revenues of $3.0 million, Plaza Azteca, a United States based Retail organisation with 27 employees and revenues of $3.0 million, Chicken as Cluck, a United States based Retail organisation with 22 employees and revenues of $2.0 million and many others.
Contact us if you need a completed and verified list of companies using Zira.ai, 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 Zira.ai 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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Boathouse Asian Eatery | Retail | 25 | $3M | United States | Zira.ai | Zira.ai | Workforce Scheduling | 2019 | n/a |
In 2019, Boathouse Asian Eatery implemented Zira.ai for Workforce Scheduling. The 25 employee retail restaurant in the United States adopted Zira.ai as a cloud hosted Workforce Scheduling application to centralize shift rostering, availability management and mobile schedule access for front of house and kitchen staff at a single site.
Configuration emphasized manager driven schedule creation, employee self service for shift swaps and time off requests, and recurring shift templates to simplify weekly rostering. Operational governance was maintained by the restaurant manager who controlled schedule approvals and policy enforcement, reflecting a lean rollout suited to a small business. The deployment used standard SaaS architecture in Zira.ai, minimizing local infrastructure and focusing on hourly workforce scheduling, communications and compliance workflows.
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Chicken as Cluck | Retail | 22 | $2M | United States | Zira.ai | Zira.ai | Workforce Scheduling | 2020 | n/a |
In 2020, Chicken as Cluck implemented Zira.ai to manage hourly rostering and shift operations. Chicken as Cluck is a United States retail company with 22 employees and is listed as a customer on Zira.ai's website. The deployment used Zira.ai in a cloud-hosted SaaS configuration tailored to small business operations, provisioning schedule access for managers and hourly staff.
The Zira.ai implementation leveraged core Workforce Scheduling capabilities including shift creation and publishing, time-off and swap workflows, manager approval routing, and mobile schedule access, configured for store-level retail operations. Configurations focused on role-based scheduling for store managers and frontline employees, roster visibility, and automated schedule distribution to reduce manual coordination. Governance was implemented through manager approval workflows and centralized schedule ownership by store operations, aligning scheduling processes with daily retail staffing needs. The vendor customer listing confirms the implementation, public details do not specify integrations or measured outcomes.
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Plaza Azteca | Retail | 27 | $3M | United States | Zira.ai | Zira.ai | Workforce Scheduling | 2019 | n/a |
In 2019, Plaza Azteca implemented Zira.ai, a Workforce Scheduling application. The deployment addressed frontline workforce scheduling for Plaza Azteca, centralizing shift creation and publication for managers and hourly staff across its operations.
Configuration emphasized schedule templates, recurring shift patterns, time off and availability workflows, and mobile employee self service. Zira.ai was set up to automate roster generation, support shift swaps and manager-led schedule edits, and enforce published schedule windows aligned with daily operational needs.
Rollout focused on manager approval workflows and operational governance for schedule changes, embedding schedule publication and change controls into store-level processes. The implementation positioned Zira.ai as the primary Workforce Scheduling tool supporting scheduling, shift management, and workforce coordination functions.
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TPBank | Banking and Financial Services | 7939 | $664M | Vietnam | Zira.ai | Zira.ai | Workforce Scheduling | 2019 | n/a |
In 2019 TPBank implemented Zira.ai as a Workforce Scheduling application to standardize scheduling and resource allocation across its banking operations. TPBank is a Vietnam based banking and financial services firm with 7,939 employees, and the Zira.ai deployment was positioned to support operational staffing and project planning workflows within the bank.
Zira.ai was configured to deliver core Workforce Scheduling capabilities including rostering, shift planning, schedule automation, and capacity planning consistent with category expectations. The implementation leveraged the Zira Suite for project management as part of the configuration, and technical work referenced microservices design patterns and containerization approaches common to the banks IT stack.
Integration work emphasized API based connections into existing project management and IT service management workflows, with explicit attention to enterprise content management and application level API integration. The technical approach drew on Spring Boot and Spring Cloud style service components and Docker oriented microservices deployment patterns as part of the overall integration and runtime architecture.
Governance and rollout were managed through Scrum Agile software development practices, change management, and structured issues tracking, with vendor collaboration to optimize the core system and training for staff. Operational ownership aligned with IT project management and operations teams, and reporting and analytics requirements were captured to support ongoing scheduling and capacity decisions.
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