List of Fourth Workforce Analytics Customers
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Since 2010, our global team of researchers has been studying Fourth Workforce Analytics 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 Fourth Workforce Analytics for Workforce Analytics 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 Fourth Workforce Analytics for Workforce Analytics include: Noodles & Company, a United States based Leisure and Hospitality organisation with 7600 employees and revenues of $1.00 billion, PizzaExpress, a United Kingdom based Retail organisation with 14000 employees and revenues of $700.0 million, Smokey Bones, a United States based Leisure and Hospitality organisation with 1400 employees and revenues of $280.0 million and many others.
Contact us if you need a completed and verified list of companies using Fourth Workforce Analytics, 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 Fourth Workforce Analytics 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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Noodles & Company | Leisure and Hospitality | 7600 | $1.0B | United States | Fourth Enterprises | Fourth Workforce Analytics | Workforce Analytics | 2018 | n/a |
In 2018, Noodles & Company implemented Fourth Workforce Analytics, adopting Fourth Enterprises HotSchedules platform to centralize workforce management across its US restaurants. Fourth Workforce Analytics served as the companys Workforce Analytics solution for scheduling and labor optimisation across the estate.
The implementation included HotSchedules scheduling, analytics dashboards, and AI forecasting modules to drive labor demand prediction and shift planning. Configuration emphasized roster management, demand-based forecasting, schedule creation, and operational reporting to support store managers and regional operations teams.
Deployment scope covered Noodles & Company restaurants across the United States, with the project targeting store operations and labor planning functions. The customer case study credits approximately 20% lift in labour forecasting accuracy and about $4 million in labour cost savings after adopting Fourths scheduling and analytics tools.
Governance established centralized forecasting processes and manager-facing scheduling workflows to align operations teams around AI-driven forecasts and standardized scheduling policies. Fourth Workforce Analytics provided analytics instrumentation and decisioning capabilities that were operated by store managers and operations leadership to optimize labor deployment and compliance.
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PizzaExpress | Retail | 14000 | $700M | United Kingdom | Fourth Enterprises | Fourth Workforce Analytics | Workforce Analytics | 2023 | n/a |
In 2023, PizzaExpress implemented Fourth Workforce Analytics, deploying Workforce Analytics capabilities across its United Kingdom restaurant estate to align staffing to demand and support operational decision making. Fourth Workforce Analytics is positioned as the primary workforce analytics and forecasting layer for PizzaExpress, with a focus on demand based scheduling and manager level decision support.
The implementation leverages Fourth iQ / AI Forecasting as the core forecasting capability, driving AI driven demand forecasts, scheduling baselines, and scenario planning for shift coverage. Configuration emphasized forecast horizon tuning and automated baseline generation, combined with manager facing analytics to translate forecasts into actionable schedules and staffing guidance.
Operationally the system is used by operations teams and site managers across PizzaExpress UK locations, embedding forecast outputs into day to day scheduling and roster planning workflows. The deployment covers store level scheduling baselines and manager decision workflows, integrating forecast driven staffing signals into operational planning processes.
Governance was centered on embedding forecast outputs into manager workflows and updating scheduling baselines, with ongoing use to inform operational decisions at site level. PizzaExpress reported a c.25% improvement in revenue forecasting accuracy since implementing Fourth iQ / AI Forecasting, helping improve scheduling baselines and operational decision making.
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Smokey Bones | Leisure and Hospitality | 1400 | $280M | United States | Fourth Enterprises | Fourth Workforce Analytics | Workforce Analytics | 2023 | n/a |
In 2023 Smokey Bones implemented Fourth Workforce Analytics in a deployment targeting Workforce Analytics for its US casual dining estate. The implementation combined Fourth Workforce Analytics with Fourth HotSchedules scheduling, Labor Optimization and Fourth Analytics to centralize scheduling and forecasting capabilities across restaurants.
The configuration focused on scheduling automation and labor optimization modules, with HotSchedules used for roster and shift management, Labor Optimization for demand based labor planning, and Fourth Analytics for consolidated reporting and forecast accuracy. Fourth Workforce Analytics was configured to surface shift level labor recommendations and forecast variance reporting to store and regional managers.
Operational coverage extended across Smokey Bones US casual dining locations, affecting restaurant managers, regional operations teams, and labor planning functions. The deployment aligned scheduling and forecasting workflows with store level operations to standardize demand based staffing and to provide a single source of workforce performance data.
Governance changes included formalized workflows for forecast approval and schedule sign off, and role based access for managers and regional operators to enforce consistent scheduling policies. Rollout practices emphasized configuration of labor rules and forecasting cadence to align Fourth Workforce Analytics outputs with existing operational processes.
The rollout delivered explicit outcomes reported by the customer, including 30 plus hours saved per week per restaurant, under 1% variance to forecast and a 50 to 100 basis point improvement in direct labor cost. These outcomes were stated as results of the combined HotSchedules scheduling, Labor Optimization and Fourth Analytics deployment.
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