Willmar, 56201, MN,
United States
Team Honey Badger Technographics
Team Honey Badger Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Team Honey Badger and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 3000 Team Honey Badger employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Team Honey Badger has purchased the following applications: PayPal Braintree for Payment Processing in 2023, Emi Labs Interview Scheduling for Interview Scheduling in 2023, Tidio Live Chat for Chatbots and Conversational AI 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 Team Honey Badger is running and its propensity to invest more and deepen its relationship with PayPal , Emi Labs , Tidio 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 Team Honey Badger revenues, which have grown to $150.0 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 Team Honey Badger 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.
Team Honey Badger Tech Stack and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| PayPal | Legacy | PayPal Braintree | Payment Processing | ERP Financial Management | n/a | 2023 | 2023 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Emi Labs | Legacy | Emi Labs Interview Scheduling | Interview Scheduling | HCM | n/a | 2023 | 2023 |
In 2023, Team Honey Badger deployed Emi Labs Interview Scheduling to automate interview scheduling and candidate communications for high-volume frontline hiring across its United States Domino's franchise operations. The engagement centered on Interview Scheduling as a functional capability for store-level recruiting, aligning Emi Labs Interview Scheduling with hourly hiring workflows and candidate touchpoints.
The implementation configured modules for automated interview booking, two way candidate messaging, time slot management, and automated reminders, and it embedded background check automation into the pre hire workflow. Scheduling rules and templates were tuned to store shift patterns and peak hiring windows, enabling automated candidate self scheduling and recruiter override controls.
Architecturally the solution served as a cloud scheduling layer that synchronized candidate bookings with recruiter and store manager calendars and routed candidate communications through automated messaging channels. Integrations focused on orchestrating background check workflows and handing candidate status into internal recruiting processes, preserving recruiter visibility while minimizing manual scheduling tasks.
Governance established central HR oversight and standardized scheduling templates for store hiring, with a rollout oriented to high volume stores and frontline recruiting teams. In six months the Emi Labs Interview Scheduling deployment automatically scheduled 5,500 interviews and delivered an explicitly reported reduction of 2,750 recruiter hours.
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Video Interviewing | HCM |
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2023 | 2023 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Tidio | Legacy | Tidio Live Chat | Chatbots and Conversational AI | AI-Powered Application | n/a | 2023 | 2023 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Collaboration | Collaboration |
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2019 | 2019 |
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Collaboration | Collaboration |
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2023 | 2023 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Web Content Management | Content Management |
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2025 | 2025 |
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Web Content Management | Content Management |
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2023 | 2023 |
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Web Content Management | Content Management |
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2025 | 2025 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2023 | 2023 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Apps Development | PaaS |
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2023 | 2023 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2023 | 2023 |
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Application Hosting and Computing Services | IaaS |
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2025 | 2025 |
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Content Delivery Network | IaaS |
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2023 | 2023 |
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Domain Name System (DNS) | IaaS |
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2021 | 2021 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Secure Sockets Layer (SSL) | CyberSecurity |
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2023 | 2023 |
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IT Decision Makers and Key Stakeholders at Team Honey Badger
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Team Honey Badger Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||