Calvin Klein Inc. Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Calvin Klein Inc. and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 11500 Calvin Klein Inc. employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Calvin Klein Inc. has purchased the following applications: PhenomPeople ATS for Applicant Tracking System in 2015, IBM Watson Commerce Insights for Cognitive Computing in 2018, Forter for eCommerce Fraud Protection in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Calvin Klein Inc. is running and its propensity to invest more and deepen its relationship with Phenom , IBM , Forter 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 Calvin Klein Inc. revenues, which have grown to $3.66 billion 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 Calvin Klein Inc. 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 |
|---|---|---|---|---|---|---|---|---|
| Phenom | Legacy | PhenomPeople ATS | Applicant Tracking System | HCM | n/a | 2015 | 2015 |
In 2015, Calvin Klein Inc. implemented PhenomPeople ATS on its careers website. The company uses PhenomPeople ATS as an Applicant Tracking System to centralize job postings, candidate applications, and recruiter workflows for the Calvin Klein brand.
Configuration prioritized career site integration and requisition management, enabling standard Applicant Tracking System capabilities such as candidate sourcing, application intake, applicant tracking, and interview scheduling. The implementation includes candidate profile storage and role based recruiter access to enforce requisition ownership and hiring workflow responsibilities. Reporting and analytics modules are used to provide visibility into pipeline status and requisition progress.
Integrations are focused on embedding PhenomPeople ATS into the public careers experience, the system is exposed on the brand level careers site and serves as the primary application channel for external candidates. Operational coverage centers on the recruiting and human resources functions that manage talent acquisition across the brand's global careers site, with governance organized around job requisition approvals and orchestrated applicant handoffs to standardize screening and interview processes.
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Candidate Relationship Management | HCM |
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2016 | 2016 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| IBM | Legacy | IBM Watson Commerce Insights | Cognitive Computing | AI-Powered Application | n/a | 2018 | 2018 |
In 2018 Calvin Klein Inc. implemented IBM Watson Commerce Insights, a Cognitive Computing application to support e commerce merchandising and customer experience. IBM Watson Commerce Insights was applied to drive merchandising decisions on the Calvin Klein website by analyzing price points and inventory levels and by surfacing product performance and customer behavior signals for merchandisers and marketers.
The implementation focused on analytics driven merchandising and personalization capabilities, including product performance analytics, segmentation and decisioning workflows used by the e commerce merchandising team. Operational workflows incorporated price and inventory driven merchandising rules, creation of color swatches through Adobe Scene7, assignment of products to filter taxonomies via the PIM, and construction of seasonal buy sheets using IP Production to coordinate merchandising and assortment planning.
Integrations declared in the implementation included Adobe Scene7 for visual asset management, the PIM for taxonomy and filter assignment, and IP Production for buy sheet and production coordination. Operational scope covered e commerce merchandising, content production, marketing analytics for preferred customer and loyalty program analysis, and daily site quality assurance activities that verified copy, imagery and product assignments.
Governance and workflow changes centered on instituting daily QA routines, catalog taxonomy control for filter assignment, and analytics driven merchandising review cycles that used IBM Watson Commerce Insights outputs to prioritize product placements and promotional decisions. The deployment emphasized embedding cognitive analytics into existing merchandising and content production processes rather than creating separate reporting silos.
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SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Demand Forecasting and Planning | SCM |
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2016 | 2016 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Support | CRM |
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2021 | 2021 |
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Customer Support | CRM |
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2017 | 2017 |
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Data Management Platform | CRM |
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2017 | 2017 |
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Data Management Platform | CRM |
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2016 | 2016 |
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Data Management Platform | CRM |
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2017 | 2017 |
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Digital Advertising Platform | CRM |
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2016 | 2016 |
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Digital Advertising Platform | CRM |
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2016 | 2016 |
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Digital Advertising Platform | CRM |
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2016 | 2016 |
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Marketing Analytics | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2016 | 2016 |
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Marketing Automation | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2017 | 2017 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2015 | 2015 |
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Tag Management | CRM |
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2016 | 2016 |
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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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2021 | 2021 |
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Procurement
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Procurement | Procurement |
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2016 | 2016 |
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Supplier Relationship Management | Procurement |
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2016 | 2016 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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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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2016 | 2016 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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