Madison, 53707, WI,
United States
Fetch Rewards Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Fetch Rewards and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 550 Fetch Rewards employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Fetch Rewards has purchased the following applications: Greenhouse ATS for Applicant Tracking System in 2020, Hugging Face for ML and Data Science Platforms in 2022, Zendesk Chat for Chatbots and Conversational AI in 2018 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Fetch Rewards is running and its propensity to invest more and deepen its relationship with Greenhouse , Hugging Face , Zendesk 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 Fetch Rewards revenues, which have grown to $20.0 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 Fetch Rewards 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.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Greenhouse | Legacy | Greenhouse ATS | Applicant Tracking System | HCM | n/a | 2020 | 2020 |
In 2020, Fetch Rewards implemented Greenhouse ATS. The Greenhouse ATS Applicant Tracking System was deployed to manage recruiting and is surfaced on Fetch Rewards' public careers pages and application flows on their website.
The deployment leveraged Greenhouse's cloud-hosted architecture and standard Applicant Tracking System capabilities, configured for job requisition management, candidate sourcing and tracking, interview scheduling and scorecards, offer management, and recruitment reporting. Configuration work centered on embedding Greenhouse job listings and application forms into the corporate careers site, defining candidate pipelines and configurable hiring stages, and mapping custom fields to Fetch Rewards' role profiles.
Operationally the Greenhouse ATS supports talent acquisition and HR functions for Fetch Rewards, which employs approximately 550 people in the United States. Governance for the implementation emphasized role-based access, centralized pipeline ownership, structured interview scorecards, and standardized candidate evaluation workflows within Greenhouse ATS to enforce consistent hiring processes.
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Hugging Face | Legacy | Hugging Face | ML and Data Science Platforms | AI Development | n/a | 2022 | 2023 |
In 2022, Fetch Rewards implemented Hugging Face within the ML and Data Science Platforms category to rebuild its receipt document AI pipeline. Hugging Face supported Fetch Rewards through the AWS Expert Acceleration partner program on a project focused on receipt parsing and data ingestion across the United States.
The engagement centered on training in‑house transformer models for receipt parsing and analytics and on rearchitecting the document AI ingestion pipeline. Implementation work included standardized model fine tuning and evaluation workflows, model training orchestration, and production inference patterns to support high throughput document parsing.
Integration work leveraged Hugging Face model tooling alongside AWS support to operationalize model training and serving, enabling Fetch Rewards to process at production scale. Operational coverage spanned Fetch Rewards data engineering and machine learning teams, with the rebuilt pipeline instrumented for large scale ingestion and analytics.
The project delivered measurable improvements, cutting model development time by approximately 30 percent and reducing processing latency by approximately 50 percent, enabling production scale processing of millions of receipts per day. Hugging Face served as the application under the ML and Data Science Platforms category that enabled these document AI and data ingestion capabilities.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Zendesk | Legacy | Zendesk Chat | Chatbots and Conversational AI | AI-Powered Application | n/a | 2018 | 2018 |
In 2018 Fetch Rewards implemented Zendesk Chat on their website, deploying the Zendesk Chat application as its Chatbots and Conversational AI channel for customer support. The deployment targets web visitor engagement and real-time messaging workflows, and is positioned to support support agents and customer-facing operations across the company’s service organization.
The Zendesk Chat implementation leverages category-standard capabilities such as live chat widgets, real-time agent routing, automated greeting messages, canned responses, and chat transcript capture to structure conversational workflows. Configuration focuses on embedding the Zendesk Chat widget into the public website and aligning chat handling to customer support queues, with captured transcripts and message metadata available for service review and orchestration. Fetch Rewards Zendesk Chat Chatbots and Conversational AI supports their customer support function by centralizing web-based conversational interaction and enabling operational control over chat routing, agent response templates, and transcript retention for service quality and compliance.
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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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2014 | 2014 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Digital Signing | Content Management |
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2021 | 2021 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Customer Loyalty | CRM |
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2024 | 2024 |
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Customer Support | CRM |
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2021 | 2021 |
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Listing Management | CRM |
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2019 | 2019 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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AML, Fraud and Compliance | TRM |
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2019 | 2019 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2020 | 2020 |
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Transactional Email | PaaS |
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2021 | 2021 |
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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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2016 | 2016 |
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Cloud Storage | IaaS |
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2014 | 2014 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2016 | 2016 |
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Content Delivery Network | 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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Identity and Access Management (IAM) | CyberSecurity |
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2021 | 2021 |
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