Mississauga, L4W 4Y6, ON,
Canada
redtag.ca Technographics
redtag.ca Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by redtag.ca and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1400 redtag.ca employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that redtag.ca has purchased the following applications: Sift Science Digital Trust Platform for ML and Data Science Platforms in 2020, Adobe Sensei for Artificial Intelligence Marketing in 2017, Microsoft 365 for Collaboration in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems redtag.ca is running and its propensity to invest more and deepen its relationship with Sift Science , Adobe Systems , MobileMonkey 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 redtag.ca revenues, which have grown to $200.0 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 redtag.ca 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.
redtag.ca Tech Stack and Enterprise Applications
redtag.ca 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 | 2020 | 2020 |
In 2020 redtag.ca deployed Sift Science Digital Trust Platform on its public website to strengthen digital trust and real time online risk evaluation for customer interactions. The Sift Science Digital Trust Platform is implemented as an ML and Data Science Platforms solution to support online fraud risk management and e-commerce customer journeys for the company.
Implementation focused on web instrumentation and behavioral analytics, with client side event collection feeding session and transaction signals into the Sift Science Digital Trust Platform. The deployment uses typical platform capabilities such as behavioral scoring, real time risk scoring, and rule orchestration to evaluate checkout, account creation, and login events. Configuration work emphasized event taxonomy alignment and scoring thresholds consistent with retail commerce risk workflows.
Operational integration was centered on website instrumentation, combining JavaScript event capture with server side API calls to surface risk decisions into transactional flows. The platform is consumed by payments, fraud operations, and customer service workflows to centralize decisioning and investigations, with administrative consoles and analytics used for monitoring and tuning. Redtag.ca Sift Science Digital Trust Platform ML and Data Science Platforms relationship is explicitly focused on embedding automated risk signals into online retail operations.
|
redtag.ca AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Adobe Systems | Legacy | Adobe Sensei | Artificial Intelligence Marketing | AI-Powered Application | x | 2017 | 2018 |
In 2017, redtag.ca implemented Adobe Sensei as part of an Adobe Experience Cloud deployment to bring machine learning into its customer experience stack, using Artificial Intelligence Marketing capabilities to create smarter, more targeted experiences that help drive conversion and encourage brand engagement. The implementation centers on Adobe Sensei as the AI inference layer embedded in Experience Cloud workflows, aligning the application with marketing and commerce business functions at redtag.ca.
The deployment focused on category-aligned capabilities including automated audience segmentation, predictive scoring, real-time personalization, and content optimization. Adobe Sensei was configured to surface recommendations and predictive insights into campaign decisioning and site experience orchestration, pairing model-driven personalization with existing digital experience modules in the Experience Cloud.
Architecturally the solution is implemented as a cloud hosted SaaS stack with Adobe Sensei providing machine learning models and inference integrated into front-end personalization and backend marketing workflows. Operational coverage emphasized digital marketing and e-commerce touchpoints, with AI outputs feeding targeting, promotional treatments, and experience variants across the online storefront and campaign execution flows.
Governance was organized through centralized marketing operations, with model validation, audience governance, and staged experimentation used to control rollout and measure behavioral lift. The implementation narrative ties redtag.ca, Adobe Sensei, Artificial Intelligence Marketing, and Adobe Experience Cloud directly to ongoing efforts to improve targeting, conversion, and brand engagement.
|
|
|
|
|
Chatbots and Conversational AI | AI-Powered Application |
|
2020 | 2020 |
|
redtag.ca Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2017 | 2017 |
In 2017 redtag.ca deployed Microsoft 365 as its Collaboration platform. The deployment positioned Microsoft 365 to standardize productivity tooling and team collaboration across the companys Canada operations.
The implementation leverages Microsoft 365 core services including Exchange Online for enterprise email, SharePoint Online for intranet and document management, Microsoft Teams for real time collaboration and meetings, OneDrive for personal file storage, and Office client applications for desktop productivity. Tenant configuration includes Azure Active Directory identity and role based access controls, centralized user provisioning workflows, and policy driven data classification and retention capabilities consistent with Collaboration platform practices.
Redtag.ca references Microsoft 365 artifacts in its public website source, indicating that tenant hosted resources or embedded Office content are surfaced on the site. This presence aligns with collaboration patterns that connect corporate content repositories and communication channels with external facing touchpoints.
Operational coverage spans corporate functions including sales, marketing, finance, HR and customer service across Canada, with governance organized around a centralized Microsoft 365 tenant administration model. Governance and operational controls focus on mailbox and SharePoint site provisioning, Teams lifecycle processes, and standardized library and template configurations to support consistent collaboration workflows.
|
redtag.ca eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Personalization and Product Recommendations | eCommerce |
|
2017 | 2017 |
|
redtag.ca CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Customer Analytics | CRM |
|
2020 | 2020 |
|
|
|
|
|
Customer Experience | CRM |
|
2019 | 2019 |
|
|
|
|
|
Customer Experience | CRM |
|
2020 | 2020 |
|
|
|
|
|
Data Management Platform | CRM |
|
2017 | 2017 |
|
|
|
|
|
Data Management Platform | CRM |
|
2020 | 2020 |
|
|
|
|
|
Digital Advertising Platform | CRM |
|
2014 | 2014 |
|
|
|
|
|
Marketing Analytics | CRM |
|
2013 | 2013 |
|
|
|
|
|
Marketing Analytics | CRM |
|
2020 | 2020 |
|
|
|
|
|
Marketing Analytics | CRM |
|
2016 | 2016 |
|
|
|
|
|
Marketing Analytics | CRM |
|
2020 | 2020 |
|
|
|
|
|
Marketing Automation | CRM |
|
2016 | 2016 |
|
|
|
|
|
Marketing Automation | CRM |
|
2021 | 2021 |
|
|
|
|
|
Tag Management | CRM |
|
2020 | 2020 |
|
redtag.ca ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Performance Management | ITSM |
|
2012 | 2012 |
|
|
|
|
|
Application Performance Management | ITSM |
|
2014 | 2014 |
|
redtag.ca IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2017 | 2017 |
|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2020 | 2020 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2012 | 2012 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2014 | 2014 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2016 | 2016 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2020 | 2020 |
|
redtag.ca CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Secure Sockets Layer (SSL) | CyberSecurity |
|
2014 | 2014 |
|
|
|
|
|
Web Application Firewalls (WAF) | CyberSecurity |
|
2021 | 2021 |
|
IT Decision Makers and Key Stakeholders at redtag.ca
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| Chief Digital Officer | CXO | IT | ||||
| President | CXO | Finance |
Apps Being Evaluated by redtag.ca Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||