List of Phenom AI Scheduling Customers
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Since 2010, our global team of researchers has been studying Phenom AI Scheduling 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 Phenom AI Scheduling for Interview 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 Phenom AI Scheduling for Interview Scheduling include: United Airlines, a United States based Transportation organisation with 107300 employees and revenues of $57.06 billion, General Electric, a United States based Utilities organisation with 76800 employees and revenues of $34.94 billion, Coles, a Australia based Retail organisation with 120000 employees and revenues of $26.05 billion, Bread Financial, a United States based Banking and Financial Services organisation with 6000 employees and revenues of $3.84 billion, Banfield Pet Hospital, a United States based Healthcare organisation with 19000 employees and revenues of $2.00 billion and many others.
Contact us if you need a completed and verified list of companies using Phenom AI Scheduling, 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 Phenom AI Scheduling 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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Banfield Pet Hospital | Healthcare | 19000 | $2.0B | United States | Phenom | Phenom AI Scheduling | Interview Scheduling | 2019 | n/a |
In 2019, Banfield Pet Hospital implemented Phenom AI Scheduling. Phenom AI Scheduling, deployed as an Interview Scheduling solution, was introduced to streamline interview coordination within Banfield’s talent acquisition and recruiting functions.
Deployment emphasized scheduling automation capabilities commonly associated with Interview Scheduling, including candidate self-scheduling, calendar synchronization, automated interviewer availability matching, and configurable interview types and time slots. Configuration work focused on recruiter workflow alignment and automated confirmation and reminder communications to standardize interview orchestration across hiring teams.
Banfield maintained an externally facing Acuity Scheduling calendar on its website for candidate bookings, indicating coexistence between the public booking layer and Phenom AI Scheduling for centralized coordination. Operational scope centered on recruiting and HR operations across the United States, with governance established around centralized scheduling policies and recruiter-managed configuration and workflow controls.
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Bread Financial | Banking and Financial Services | 6000 | $3.8B | United States | Phenom | Phenom AI Scheduling | Interview Scheduling | 2021 | n/a |
In 2021, Bread Financial implemented Phenom AI Scheduling as part of a broader rollout of Phenom AI products. Phenom AI Scheduling, classified under the Interview Scheduling category, was deployed to support talent acquisition scheduling workflows and candidate experience orchestration within the hiring lifecycle.
The implementation included configuration of scheduling workflows and automation to reduce manual coordination, integration with the Phenom CRM and the Phenom Digital Interview Platform, and instrumentation by the Phenom Analytics module. The Phenom AI Scheduling deployment was integrated into the Phenom-hosted careers site and linked to Bread Financials Workday integration to align interview booking with applicant tracking and requisition data.
Operational ownership covered Talent Acquisition teams in the United States and India, recruiters, and hiring managers, with the Talent Experience and Engagement Program Manager overseeing the technical implementation and operational rollout. Training and governance were formalized through a redesigned Interviewer Certification Program using self-paced eLearning and a Live Lab component, aligning interview conduct and scheduling policies across certified interviewers.
The Phenom AI Scheduling deployment was delivered as part of a multi-module Phenom stack that produced workflow automations and improved analytics for recruiters and hiring managers. As part of the broader Phenom implementation, the organization reported certifying 800 plus interviewers, a 60 percent reduction in training time and an 18 percent reduction in training cost from the new certification approach, and improvements in candidate engagement and reporting that supported higher application volume on the Phenom-hosted careers site.
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Coles | Retail | 120000 | $26.1B | Australia | Phenom | Phenom AI Scheduling | Interview Scheduling | 2023 | n/a |
In 2023, Coles implemented Phenom AI Scheduling as part of its Interview Scheduling capability to support high volume hiring across retail operations and to improve candidate self-scheduling and recruiter coordination. The deployment was embedded into a broader Phenom Intelligent Talent Experience platform selected by Coles, and it addresses a candidate flow that receives nearly 1 million applications each year.
Phenom AI Scheduling was configured to provide mobile-enabled candidate self-booking and automated hiring team calendar coordination, while Phenom modules for candidate attraction and engagement power the Coles career site, AI chatbot, Hosted Apply process, Expression of Interest intake, and always-on talent marketing. The implementation also leverages Phenom Fit Score to surface best matched candidates for recruiters and enables in-store managers to collaborate with recruiters for faster hiring decisions.
The solution architecture includes a two-way integration with SAP SuccessFactors, ensuring job requisitions created in SAP SuccessFactors are replicated into Phenom and candidate and interview data are synchronized back to SAP SuccessFactors. Coles also deployed robotic process automation bots named Ashbotty and Usain Bot to process working rights and onboarding tasks, which operate in the background to complete transactional work and feed compliance data such as working rights, contract generation, and onboarding records into SAP SuccessFactors.
Governance and process restructuring focused on maintaining SAP SuccessFactors as the single source of truth for candidate and compliance data while operating Phenom as the candidate engagement and scheduling layer. Coles reported operational benefits including higher application conversion through a consistent Hosted Apply experience, reduced manual transaction work via RPA operating 24 hours a day for a seven days a week business, and an improved recruiter experience through automated interview management and AI assisted candidate matching.
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General Electric | Utilities | 76800 | $34.9B | United States | Phenom | Phenom AI Scheduling | Interview Scheduling | 2020 | n/a |
In 2020 General Electric deployed Phenom AI Scheduling on its careers website to manage candidate interview bookings, adopting a solution in the Interview Scheduling category. The deployment embeds Phenom AI Scheduling into the GE Careers portal at jobs.gecareers.com to provide scheduling capabilities directly in the candidate application flow, aligning the tool with recruiting and talent acquisition activities across the hiring portal.
The implementation configures AI-driven candidate self-scheduling, interviewer availability matching, timezone normalization, and automated confirmation and reminder workflows, reflecting core Interview Scheduling functionality. Operational ownership is centered in corporate recruiting and talent operations, with configuration work focused on career site embedding, scheduler logic, and standardized communication templates to govern interview orchestration and ensure consistent scheduling workflows.
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Set and Service Resources | Professional Services | 500 | $50M | United States | Phenom | Phenom AI Scheduling | Interview Scheduling | 2020 | n/a |
In 2020, Set and Service Resources implemented Phenom AI Scheduling as part of a broader deployment of the Phenom Intelligent Talent Experience platform. The deployment targeted recruiting and HR operations within the professional services firm, concentrating on candidate engagement, scheduling, and centralized talent pipeline management.
Set and Service Resources configured multiple Phenom modules including Phenom Career Site and CMS to deliver dynamic career site content and personalized job alerts, Phenom CRM to centralize active and passive talent, Phenom Campaigns to orchestrate targeted candidate communications, Phenom Talent Analytics to measure source quality and funnel behavior, and Phenom AI Scheduling for Interview Scheduling to automate and accelerate interview coordination. The configuration supported video assessments, candidate nurturing workflows, and automated scheduling logic that reduced manual coordination work for recruiters.
Integrations were scoped to streamline connections with third-party vendors and to provide an experience dedicated to HRIS teams, enabling the platform to act as the single entry point for referrals, social media marketing, job marketing, and job board traffic. Operational coverage included recruiting and HR functions, candidate and client-facing workflows, and centralized tracking across the hiring lifecycle, aligning career site interactions, CRM records, campaign touchpoints, and scheduling events into one system of record.
Governance and process changes emphasized centralized candidate routing, standardized nurture and scheduling workflows, and analytics-driven optimization of source and stage performance. Outcomes explicitly cited by the customer include increased efficiency, faster hiring cadence, and a more cohesive, personalized experience for candidates and internal stakeholders through the combined use of Phenom AI Scheduling and the Intelligent Talent Experience platform.
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Transportation | 107300 | $57.1B | United States | Phenom | Phenom AI Scheduling | Interview Scheduling | 2022 | n/a |
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Buyer Intent: Companies Evaluating Phenom AI Scheduling
- Swiss Re Group, a Switzerland based Insurance organization with 15000 Employees
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