AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Catch Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Stripe Legacy Stripe Payments Payment Processing ERP Financial Management n/a 2015 2015
In 2015, Catch implemented Stripe Payments on its website to provide a centralized online payment acceptance and checkout processing layer. Catch implemented Stripe Payments as its Payment Processing engine for ecommerce checkout and finance operations, integrating the vendor's tokenization and hosted payment components into the web storefront. The implementation focused on standard Payment Processing capabilities, including card acceptance, digital wallet support, tokenization to reduce PCI scope, and configuration of native fraud controls and dispute handling workflows. Stripe Payments was configured to support transaction routing and settlement into Catch merchant accounts, and to surface payment event data for reconciliation and billing processes. Operationally the Stripe Payments deployment is scoped to Catch's ecommerce channel in Australia, supporting the online sales function and downstream finance and operations teams. Governance and process changes centered on merchant onboarding, payment reconciliation procedures, dispute case workflows, and operational ownership by the payments and finance stakeholders.
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Workable Legacy Workable ATS Applicant Tracking System HCM n/a 2020 2020
In 2020, Catch implemented Workable ATS to manage its recruiting processes and candidate lifecycle. Using Workable on their website, Catch powered the public careers page and embedded job posting flows directly on catch.com.au, connecting external applicants to the ATS intake. The Workable ATS deployment centralized core Applicant Tracking System capabilities. It included job requisition publishing, candidate sourcing and application intake, structured screening workflows, resume and candidate profile storage, and interview scheduling to support end to end hiring processes. Operationally the system supported Catch's Talent Acquisition and HR teams, consolidating hiring activity for corporate functions and retail staffing under a single ATS. Governance work established role based access for recruiters and hiring managers, defined requisition approval steps, and standardized pipeline stages to enforce consistent screening and interview processes.
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Sift Science Legacy Sift Science Digital Trust Platform ML and Data Science Platforms AI Development n/a 2021 2021
In 2021 Catch implemented the Sift Science Digital Trust Platform on its website to instrument digital trust and fraud prevention across its online retail flows. The Sift Science Digital Trust Platform is deployed as an ML and Data Science Platforms solution and is positioned to provide real-time risk scoring and decisioning for checkout, account creation, and order validation workflows that support e-commerce business functions. Deployment is centered on website event instrumentation with a combination of client-side event capture and server-side event APIs feeding the platform's machine learning models and policy engine. Configuration focuses on risk scoring, automated decision rules, and analyst-facing signal surfacing to integrate fraud detection into commerce operations and account protection workflows, with governance handled through rule configuration and model tuning inside the Sift Science Digital Trust Platform.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2017 2017
Survey and Questionnaire Collaboration 2019 2019
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application, Web and Enterprise Search Content Management 2016 2016
Digital Signing Content Management 2023 2023
eCommerce
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
eCommerce Fraud Protection eCommerce 2019 2019
eCommerce eCommerce 2023 2023
Personalization and Product Recommendations eCommerce 2016 2016
Personalization and Product Recommendations eCommerce 2020 2020
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Account Based Marketing CRM 2019 2019
Customer Data Platform CRM 2019 2019
Customer Engagement CRM 2021 2021
Customer Experience CRM 2020 2020
Digital Advertising Platform CRM 2016 2016
Marketing Analytics CRM 2016 2016
Marketing Analytics CRM 2019 2019
Marketing Analytics CRM 2021 2021
Marketing Automation CRM 2020 2020
Marketing Automation CRM 2020 2020
Tag Management CRM 2021 2021
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Apps Development PaaS 2018 2018
Transactional Email PaaS 2017 2017
Transactional Email PaaS 2020 2020
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2014 2014
Application Hosting and Computing Services IaaS 2014 2014
Content Delivery Network IaaS 2019 2019
Content Delivery Network IaaS 2020 2020
Content Delivery Network IaaS 2021 2021
IT Decision Makers and Key Stakeholders at Catch
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Catch Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Catch Technographics

Catch is a Retail organization based in Australia, with around 650 employees and annual revenues of $70.0 million.

Catch operates a diverse technology stack with applications such as Stripe Payments, Workable ATS and Sift Science Digital Trust Platform, covering areas like Payment Processing, Applicant Tracking System and ML and Data Science Platforms.

Catch has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Stripe, Workable and Sift Science.

Catch recently adopted applications including DocuSign eSignature in 2023, Mirakl Marketplace Platform in 2023 and Sift Science Digital Trust Platform in 2021, highlighting its ongoing modernization strategy.

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

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

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