London, SW6 3HH,
United Kingdom
Jospeh Fashion Technographics
Jospeh Fashion Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Jospeh Fashion and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 203 Jospeh Fashion employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Jospeh Fashion has purchased the following applications: Microsoft Dynamics NAV for ERP Financial in 2017, Salesforce Chat (formerly Salesforce Live Agent) for Chatbots and Conversational AI in 2018, Oracle NetSuite Commerce for eCommerce in 2012 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Jospeh Fashion is running and its propensity to invest more and deepen its relationship with Microsoft , Adyen , 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 Jospeh Fashion revenues, which have grown to $60.0 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 Jospeh Fashion 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.
Jospeh Fashion Tech Stack and Enterprise Applications
Jospeh Fashion ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Dynamics NAV | ERP Financial | ERP | n/a | 2017 | 2017 |
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Payment Processing | ERP |
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2018 | 2018 |
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Payment Processing | ERP |
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2020 | 2020 |
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Jospeh Fashion 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 | 2018 | 2018 |
In 2018, Joseph Luxury deployed Salesforce Chat (formerly Salesforce Live Agent) to its ecommerce website to enable real-time customer engagement. The implementation is aligned with Chatbots and Conversational AI capabilities and focused on web-based conversational support for sales and customer service functions, embedding the Salesforce Chat widget across transactional site pages. Deployment scope was sized to a 50-employee retail organization and prioritized web channel interactions rather than broader multi-channel voice or email orchestration.
Configuration emphasized standard Salesforce Chat modules including the web chat widget, agent console for live handling, canned responses, and chat transcript capture to support downstream service workflows. Routing used presence and queueing logic to assign conversations to retail customer service agents during staffed hours, and transcripts were persisted for service review and association with customer records. Governance and rollout were operated by the customer service organization, with iterative tuning of chat scripts and response templates to align conversational flows with ecommerce support processes.
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Jospeh Fashion eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle NetSuite Commerce | eCommerce | eCommerce | n/a | 2012 | 2012 |
In 2012, Joseph Luxury implemented Oracle NetSuite Commerce to establish a cloud-hosted eCommerce platform for its United Kingdom retail operations. The Oracle NetSuite Commerce deployment consolidated a storefront and catalog management layer with order management and inventory-aware checkout, configuring product catalog, pricing, promotions, customer account management and content management modules to support online merchandising and sales.
Operational scope centered on retail and eCommerce functions within the 50-employee organization, standardizing product data and order-to-cash workflows across merchandising, customer service and finance teams. Governance and process changes included centralized catalog and content governance, rule-based pricing and promotions configuration, and automated order routing inside the Oracle NetSuite Commerce environment to streamline operational workflows.
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eCommerce | eCommerce |
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2017 | 2017 |
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Personalization and Product Recommendations | eCommerce |
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2017 | 2017 |
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Personalization and Product Recommendations | eCommerce |
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2017 | 2017 |
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Personalization and Product Recommendations | eCommerce |
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2024 | 2024 |
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Shipping Management | eCommerce |
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2020 | 2020 |
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Jospeh Fashion CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Engagement | CRM |
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2021 | 2021 |
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Customer Experience | CRM |
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2017 | 2017 |
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Digital Advertising Platform | CRM |
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2015 | 2015 |
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Digital Advertising Platform | CRM |
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2013 | 2013 |
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Digital Advertising Platform | CRM |
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2017 | 2017 |
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Marketing Analytics | CRM |
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2017 | 2017 |
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Partner Relationship Management | CRM |
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2021 | 2021 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2019 | 2019 |
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Jospeh Fashion 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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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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IT Decision Makers and Key Stakeholders at Jospeh Fashion
Apps Being Evaluated by Jospeh Fashion Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||