AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Fetch Rewards Data, Technology Stack, and Enterprise 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.
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.
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.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2014 2014
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Digital Signing Content Management 2021 2021
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Customer Loyalty CRM 2024 2024
Customer Support CRM 2021 2021
Listing Management CRM 2019 2019
Marketing Analytics CRM 2021 2021
Marketing Analytics CRM 2021 2021
TRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
AML, Fraud and Compliance TRM 2019 2019
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transactional Email PaaS 2020 2020
Transactional Email PaaS 2021 2021
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2016 2016
Cloud Storage IaaS 2014 2014
Content Delivery Network IaaS 2019 2019
Content Delivery Network IaaS 2016 2016
Content Delivery Network IaaS 2021 2021
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Identity and Access Management (IAM) CyberSecurity 2021 2021
IT Decision Makers and Key Stakeholders at Fetch Rewards
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Fetch Rewards Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Fetch Rewards Technographics

Fetch Rewards is a Professional Services organization based in United States, with around 550 employees and annual revenues of $20.0 million.

Fetch Rewards operates a diverse technology stack with applications such as Greenhouse ATS, Hugging Face and Zendesk Chat, covering areas like Applicant Tracking System, ML and Data Science Platforms and Chatbots and Conversational AI.

Fetch Rewards has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Greenhouse, Hugging Face and Zendesk.

Fetch Rewards recently adopted applications including AdAction Platform in 2024, Hugging Face in 2022 and DocuSign eSignature in 2021, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Fetch Rewards’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Fetch Rewards’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete Fetch Rewards technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.