Rag & Bone Technographics
Rag & Bone Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Rag & Bone and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 700 Rag & Bone employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Rag & Bone has purchased the following applications: Microsoft Dynamics 365 for Finance and Operations for ERP Financial in 2018, Greenhouse ATS for Applicant Tracking System in 2018, Salesforce Chat (formerly Salesforce Live Agent) for Chatbots and Conversational AI 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 Rag & Bone is running and its propensity to invest more and deepen its relationship with Microsoft , Affirm , Apple 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 Rag & Bone revenues, which have grown to $100.0 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 Rag & Bone 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.
Rag & Bone Tech Stack and Enterprise Applications
Rag & Bone ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Dynamics 365 for Finance and Operations | ERP Financial | ERP | n/a | 2018 | 2019 |
In 2018 Rag & Bone implemented Microsoft Dynamics 365 for Finance and Operations to serve as its core ERP Financial system supporting finance, product design, production, planning, and logistics business functions. The deployment positioned Microsoft Dynamics 365 for Finance and Operations as the central transactional and master data platform for retail and apparel operations across its New York technology footprint.
The implementation covered explicit Dynamics 365 modules including F&O, point of sale POS, digital order management DOM, and Customer Service, with configuration focused on financial management, inventory planning, production orchestration, and product data flows. Architecture guidance emphasized N tier enterprise design and service orientation including loose coupling and orchestration to enable scalable, fault tolerant business processes within Microsoft Dynamics 365 for Finance and Operations.
Integrations were built to connect Dynamics 365 with Power Platform components and Azure Integration Services, using Azure API Apps, Azure Logic Apps, Azure Functions, and REST services to exchange data with various third party partners and custom application platforms. The technical stack included Microsoft Visual Studio for development, Azure DevOps for source control and build pipelines, and SQL for data persistence, reflecting an integrated cloud and on premise connectivity pattern.
Operational governance was defined through technical design documentation, agile delivery practices, and coordinated testing and deployment activities across on site and offshore teams. A Lead D365 senior developer role drove application design, development, troubleshooting, and code quality standards, with responsibilities for breaking business specifications into technical tasks, mentoring teams, and maintaining release discipline using branching and merging strategies in Azure DevOps.
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Payment Processing | ERP |
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2019 | 2019 |
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Payment Processing | ERP |
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2020 | 2020 |
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Rag & Bone HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Greenhouse | Legacy | Greenhouse ATS | Applicant Tracking System | HCM | n/a | 2018 | 2018 |
In 2018, Rag & Bone deployed Greenhouse ATS as its Applicant Tracking System and embedded the Greenhouse ATS career flows on its public website. The implementation uses Greenhouse ATS to publish job postings, capture candidate applications through the brand career page, and manage candidate pipelines across defined recruiting stages. The configuration positions Greenhouse ATS as the primary sourcing and selection platform for Rag & Bone recruiting and HR functions.
Architecturally the deployment follows a cloud SaaS model, with Greenhouse ATS handling applicant intake, interview scheduling, structured interview scorecards, and offer tracking consistent with standard Applicant Tracking System capabilities. Operational ownership is centralized within talent acquisition and HR teams supporting the United States workforce, with the website integration enabling direct apply flows and candidate data capture. Governance centers on standardized job templates and hiring stage workflows to ensure consistent selection processes across roles.
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Rag & Bone AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Salesforce | Legacy | Salesforce Chat (formerly Salesforce Live Agent) | Chatbots and Conversational AI | AI-Powered Application | n/a | 2017 | 2017 |
In 2017 Rag & Bone implemented Salesforce Chat (formerly Salesforce Live Agent) on its customer-facing website to enable real-time conversational support on rag-bone.com. The deployment targeted online retail interactions supporting e-commerce customer service workflows for the brand, aligning technology with web storefront engagement and customer care functions.
Salesforce Chat (formerly Salesforce Live Agent) was configured as an embedded web chat widget, using typical Chatbots and Conversational AI capabilities such as live agent routing, pre-chat capture, canned responses, presence awareness, and transcript capture. The implementation emphasized agent console visibility and session handoff, supporting synchronous chat handling and asynchronous follow-up when required.
The solution was integrated directly into the rag-bone.com site to surface visitor context and product page metadata to chat sessions, keeping interactions localized to the digital storefront environment. Operational coverage focused on e-commerce and customer support touchpoints rather than enterprise-wide IT systems, preserving the deployment as a web-channel engagement layer.
Governance and workflow adjustments included formalizing chat routing rules, defining agent shift and availability patterns, and establishing transcript retention and handoff procedures into existing support workflows. Operational control was centered on customer service and e-commerce teams, with the chat implementation serving as the primary conversational layer for online customer engagements.
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Rag & Bone Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2018 | 2018 |
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Rag & Bone Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Content Management | Content Management |
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2015 | 2015 |
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Rag & Bone eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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eCommerce Fraud Protection | eCommerce |
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2022 | 2022 |
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eCommerce Fraud Protection | eCommerce |
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2022 | 2022 |
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eCommerce | eCommerce |
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2015 | 2015 |
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eCommerce | eCommerce |
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2019 | 2019 |
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Personalization and Product Recommendations | eCommerce |
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2016 | 2016 |
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Shipping Management | eCommerce |
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2018 | 2018 |
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Rag & Bone CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Support | CRM |
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2016 | 2016 |
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Customer Support | CRM |
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2022 | 2022 |
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Marketing Analytics | 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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2022 | 2022 |
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Marketing Automation | CRM |
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2019 | 2019 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2017 | 2017 |
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Rag & Bone ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2013 | 2013 |
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Rag & Bone PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Transactional Email | PaaS |
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2021 | 2021 |
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Rag & Bone 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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2012 | 2012 |
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2011 | 2011 |
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Content Delivery Network | IaaS |
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2014 | 2014 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2012 | 2012 |
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Rag & Bone CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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IT Decision Makers and Key Stakeholders at Rag & Bone
Apps Being Evaluated by Rag & Bone Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| 2025-11-17 | Rag & Bone | Evaluated | Lectra | Lectra Fashion PLM | Fashion PLM | PLM and Engineering |