List of ML Schedules Customers
River Grove, 60171, IL,
United States
Since 2010, our global team of researchers has been studying ML Schedules 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 ML Schedules for Reservation and Booking Management 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 ML Schedules for Reservation and Booking Management include: Metropolitan School District Of Warren Township United States, a United States based Education organisation with 1200 employees and revenues of $120.0 million, North Tonawanda City Schools, a United States based Education organisation with 600 employees and revenues of $77.0 million, Port Byron Central School District, a United States based Education organisation with 127 employees and revenues of $26.0 million and many others.
Contact us if you need a completed and verified list of companies using ML Schedules, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Metropolitan School District Of Warren Township United States | Education | 1200 | $120M | United States | Follett School Solutions | ML Schedules | Reservation and Booking Management | 2021 | n/a |
In 2021, Metropolitan School District Of Warren Township United States deployed ML Schedules to manage facility and community bookings across its Indianapolis-area schools. The deployment used ML Schedules as the district's Reservation and Booking Management platform to consolidate requests from more than 600 distinct community and school groups and to provide a centralized calendar for site-level and district-level events.
The implementation configured core functional modules common to Reservation and Booking Management, including request submission forms, calendar scheduling, automated approval workflows, resource assignment for rooms and equipment, and recurring event handling. User roles and delegated booking rights were established so school staff and external community groups could submit requests and manage approvals while district facilities personnel retained administrative controls and visibility.
ML Schedules was integrated with the district's building automation systems to schedule door unlocks and other facilities actions tied to booked events, enabling event-triggered building access and coordination with security and mechanical systems. Operational coverage included multiple district sites and over 600 groups using the system to submit requests and manage approvals, aligning facilities scheduling with building operations across the district.
Governance changes accompanied the rollout, standardizing booking policies and approval processes and centralizing oversight of community usage while delegating day-to-day scheduling to site and group administrators. The district reported that the combination of ML Schedules and the building automation integration improved operational efficiency and event security.
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North Tonawanda City Schools | Education | 600 | $77M | United States | Follett School Solutions | ML Schedules | Reservation and Booking Management | 2020 | n/a |
In 2020, North Tonawanda City Schools implemented ML Schedules as part of Follett School Solutions Facilities Suite. ML Schedules was deployed to provide Reservation and Booking Management for district facilities and event coordination.
The implementation configured ML Schedules to manage facility use requests and scheduling for athletics and custodial coordination, and to consolidate maintenance intake workflows previously handled through separate vendor processes. Functional capabilities implemented included centralized reservation calendars, approval routing for facility requests, and schedule-driven controls aligned to school calendars.
The district integrated ML Work Orders with ML Schedules to automate task assignment and reporting, reducing manual follow-ups and paper processes. That integration linked schedule-triggered maintenance needs to work order creation and consolidated reporting across facilities, improving operational handoffs between athletics and custodial teams in New York state.
Governance changes focused on unifying request approval workflows and instrumenting custodial coordination procedures to leverage the ML Work Orders integration. The rollout centralized facility requests and maintenance orchestration under the Follett Facilities Suite, explicitly connecting ML Schedules and ML Work Orders to streamline assignment and reporting.
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Port Byron Central School District | Education | 127 | $26M | United States | Follett School Solutions | ML Schedules | Reservation and Booking Management | 2019 | n/a |
In 2019, Port Byron Central School District implemented ML Schedules from Follett School Solutions in the Reservation and Booking Management category. The district adopted ML Schedules alongside ML Work Orders and ML Drawings to simplify facility reservations and integrate scheduling with maintenance and floorplan-driven asset mapping across New York state.
ML Schedules was configured to provide centralized reservation workflows, calendar management, resource booking, and approval routing, while ML Work Orders linked maintenance tasks to scheduled events and ML Drawings provided floorplan and asset location context. The district reported an easy data migration and strong customer support during configuration and bring-up, reinforcing the interconnected use of scheduling, work order, and drawing modules.
Operationally the implementation targeted facilities and maintenance functions across the district, enabling staff to associate bookings with work orders and mapped assets to reduce coordination friction between scheduling and maintenance teams. Governance and process changes focused on centralizing reservation approvals and aligning maintenance intake with scheduled events, supported by vendor customer support during rollout. The district cited simplified facility reservations and improved integration between scheduling, work orders, and drawings as primary benefits.
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