List of ML Work Orders Customers
Follett Software Company
2233 West St,
River Grove, 60171, IL,
United States
River Grove, 60171, IL,
United States
1 815-344-8700
Retail
10
$1M
Since 2010, our global team of researchers has been studying ML Work Orders 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 Work Orders for Facility 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 Work Orders for Facility Management include: Lindbergh Schools, a United States based Education organisation with 752 employees and revenues of $80.0 million, North Tonawanda City Schools, a United States based Education organisation with 600 employees and revenues of $77.0 million, Jacksonville School District 117, a United States based Education organisation with 37 employees and revenues of $3.0 million and many others.
Contact us if you need a completed and verified list of companies using ML Work Orders, 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 ML Work Orders 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 | Insight Source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Jacksonville School District 117 | Education | 37 | $3M | United States | Follett School Solutions | ML Work Orders | Facility Management | 2022 | n/a | In 2022 Jacksonville School District 117 implemented ML Work Orders, the Follett School Solutions application in the Facility Management category. The deployment was scoped to support the district's Illinois K–12 facilities team, with a primary focus on facilities and operations process areas across district sites. The implementation configured ML Work Orders for streamlined maintenance request intake, automated assignment workflows, and consolidated reporting. The district is rolling out ML Work Orders' Assets and Inventory modules and has begun implementing preventative maintenance protocols, using the application to formalize scheduled maintenance work and asset tracking. Operational coverage centers on facilities operations staff and school site technicians in Illinois, with workflows designed to route requests from intake through work assignment to closure and reporting. No named integrations were provided, the implementation narrative focuses on internal process orchestration within facilities and operations. Governance changes included establishing standardized request routing, accountability for work order assignment, and the introduction of preventive maintenance scheduling to replace paper based processes. Rollout sequencing prioritizes work order stabilization before full Assets and Inventory adoption to align operational procedures and auditing. Jacksonville School District 117 used ML Work Orders to reduce manual paper handling and to improve responsiveness and support for its facilities team, strengthening routine maintenance management and asset visibility in the Facility Management application. | |
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Lindbergh Schools | Education | 752 | $80M | United States | Follett School Solutions | ML Work Orders | Facility Management | 2025 | n/a | In 2025 Lindbergh Schools adopted ML Work Orders from Follett School Solutions as part of the Follett Facilities Suite to centralize facilities scheduling, maintenance, and inventory across its Missouri K through 12 district, categorizing the deployment under Facility Management. The choice positioned ML Work Orders as the district standard for work order intake and maintenance scheduling alongside ML Schedules for coordinated space and equipment booking. The implementation configured ML Work Orders to use the asset and inventory modules to tie physical assets to rooms, track repair histories, and manage consumable inventory, while ML Schedules supplied HVAC scheduling capabilities. Automated workflows were established for work order routing, status updates, and approval gates to streamline the work order lifecycle from request to close. Operational coverage focused on facilities and operations teams within the Missouri district, with asset-to-room mapping enabling technicians to identify service points and inventory locations rapidly. The deployment centralized maintenance records and consumables tracking so repairs, parts usage, and asset histories are available to cross functional teams responsible for school site operations. Governance changes included formalized workflow rules and role based assignments to support consistent dispatching and escalation, and preventive HVAC schedules to regularize maintenance windows. Rollout targeted district facilities and was structured to standardize scheduling and maintenance processes across sites within Lindbergh Schools. The implementation of ML Work Orders delivered immediate visibility into maintenance activity, automated routine work order handling, and HVAC scheduling that improved energy and operations. The district reported faster response times and reduced manual work across facilities and operations as a result of centralizing asset, inventory, and scheduling functionality. | |
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North Tonawanda City Schools | Education | 600 | $77M | United States | Follett School Solutions | ML Work Orders | Facility Management | 2021 | n/a | In 2021, North Tonawanda City Schools implemented ML Work Orders, integrating the application with ML Schedules to consolidate separate work-order and scheduling systems as a Facility Management deployment supporting facilities and operations. The deployment positioned ML Work Orders as the districts central work-order engine to coordinate event-driven maintenance and routine maintenance tasking. The implementation configured automated handoffs from event scheduling to maintenance, and established priority-based tasking workflows for custodial and maintenance staff. The district leveraged ML Work Orders for COVID-era cleaning request workflows and is in the process of adding the inventory module to better track consumables and spending, with configuration focused on tying inventory receipts and consumption to work-order records. Integration with ML Schedules is a core architectural element, enabling event schedules to trigger maintenance work orders and assign tasks to operations teams across the New York district. Operational coverage centers on facilities and operations functions, including custodial, maintenance, and site coordination, with work-order and schedule linkage streamlining cross-team coordination. Governance and process change prioritized workflow orchestration, with new procedures for automated handoffs, priority escalation, and task assignment to front-line facilities staff. Explicit outcomes include clearer priority-based tasking for staff, use of ML Work Orders during COVID cleaning workflows, and improved operational transparency through the planned inventory module and consolidated work-order records. |
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD ML Work Orders Coverage
ML Work Orders is a Facility Management solution from Follett School Solutions.
Companies worldwide use ML Work Orders, from small firms to large enterprises across 21+ industries.
Organizations such as Lindbergh Schools, North Tonawanda City Schools and Jacksonville School District 117 are recorded users of
ML Work Orders for Facility Management.
Companies using ML Work Orders are most concentrated in Education, with adoption spanning over 21 industries.
Companies using ML Work Orders are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of ML Work Orders across Americas, EMEA, and APAC.
Companies using ML Work Orders range from small businesses with 0-100 employees - 33.33%, to mid-sized firms with 101-1,000 employees - 66.67%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 0%.
Customers of ML Work Orders include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified ML Work Orders customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Facility Management.