Tucson, 85711, AZ,
United States
A Maid To Order Technographics
A Maid To Order Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by A Maid To Order and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 10 A Maid To Order employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that A Maid To Order has purchased the following applications: Housecall Pro Scheduling and Dispatching for Workforce Scheduling in 2022, CallRail Call Tracking for Call Tracking and Recording in 2022, Google Cloud Platform (GCP) for Application Hosting and Computing Services in 2023 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems A Maid To Order is running and its propensity to invest more and deepen its relationship with Housecall Pro , CallRail , Intuit or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing A Maid To Order revenues, which have grown to $1.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for A Maid To Order intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
A Maid To Order Tech Stack and Enterprise Applications
A Maid To Order HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Housecall Pro | Legacy | Housecall Pro Scheduling and Dispatching | Workforce Scheduling | HCM | n/a | 2022 | 2022 |
In 2022, A Maid To Order deployed Housecall Pro Scheduling and Dispatching. A Maid To Order is a United States based professional services firm of about 10 employees and the company uses Housecall Pro Scheduling and Dispatching on their website to handle client bookings and visible appointment scheduling.
The implementation centers on core Workforce Scheduling capabilities, including appointment booking, a dispatch board for assigning cleaning teams, calendar management, and customer notifications, aligning operational scheduling with front desk and field staff workflows. Configuration emphasizes simple crew assignment and time slot management appropriate for a small workforce, with the Housecall Pro Scheduling and Dispatching application serving as the primary tool for coordinating field operations and customer communications. A Maid To Order uses Housecall Pro Scheduling and Dispatching for Workforce Scheduling to support field operations and customer appointment management, with governance kept within the operations function to consolidate booking intake from the website into the scheduling system.
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A Maid To Order CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| CallRail | Legacy | CallRail Call Tracking | Call Tracking and Recording | CRM | n/a | 2022 | 2022 |
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Marketing Automation | CRM |
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2022 | 2022 |
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Tag Management | CRM |
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2023 | 2023 |
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A Maid To Order IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Cloud Platform (GCP) | Application Hosting and Computing Services | IaaS | n/a | 2023 | 2023 |
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IT Decision Makers and Key Stakeholders at A Maid To Order
| First Name | Last Name | Title | Function | Department | Phone | |
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Apps Being Evaluated by A Maid To Order Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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