Bregenz, 6900,
Austria
Wolford Fashion Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Wolford Fashion and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1570 Wolford 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 Wolford Fashion has purchased the following applications: Microsoft Dynamics AX for ERP Financial in 2015, Microsoft Azure Bot Service (AI) for Chatbots and Conversational AI in 2018, Salesforce Commerce Cloud for eCommerce in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Wolford Fashion is running and its propensity to invest more and deepen its relationship with Microsoft , Adyen , Amazon Web Services (AWS) 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 Wolford Fashion revenues, which have grown to $180.0 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 Wolford 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.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Dynamics AX | ERP Financial | ERP Financial Management | n/a | 2015 | 2015 |
In 2015 Wolford Fashion implemented Microsoft Dynamics AX as its ERP Financial system to standardize core finance and accounting operations. The deployment was positioned to support corporate finance, accounts payable, accounts receivable, and financial reporting workflows for the Austria-based organization.
Microsoft Dynamics AX was configured with standard ERP Financial modules including general ledger, accounts payable, accounts receivable, cash management, and statutory reporting, aligned to central finance processes. Configuration work emphasized chart of accounts design, period close automation, and financial report templates to consolidate transactional accounting across business units.
The implementation was supported by Microsoft SQL Server with SQL Server DBAs providing database administration and performance tuning for the Dynamics AX environment. System architecture reflected a Microsoft stack orientation, with the database tier managed by dedicated DBAs and application services hosted under the company IT organization.
Operational ownership rested with finance and IT, with governance centered on centralized financial controls and workflow approvals within Microsoft Dynamics AX. Rollout focused on embedding ERP Financial processes into day to day accounting activities, and ongoing administration was routed through the SQL Server DBA and IT application support teams.
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Payment Processing | ERP Financial Management |
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2018 | 2018 |
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Payment Processing | ERP Financial Management |
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2019 | 2019 |
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Payment Processing | ERP Financial Management |
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2016 | 2016 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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| Microsoft | Legacy | Microsoft Azure Bot Service (AI) | Chatbots and Conversational AI | AI-Powered Application | n/a | 2018 | 2018 |
In 2018, Wolford Fashion implemented Microsoft Azure Bot Service (AI) to power a Chatbots and Conversational AI solution on its e-commerce site, aiming to create a luxury customer experience. The deployment focused on e-commerce customer service and digital shopping assistance on Wolfordshop.com.
AskSid.ai developed and deployed an AI-powered shopping assistant using an engine built on Microsoft Azure, leveraging Azure Cognitive Services, Microsoft Azure Bot Service and Bot Framework to enable knowledge extraction, metadata generation, intent data management and intent classification. AskSid.ai worked closely with Wolford Fashion to contextualize the engine for Wolford Fashion’s business and customer requirements so the Microsoft Azure Bot Service (AI) could support the brand’s specific service interactions.
The customer-facing layer delivers a simple, streamlined conversational interface while the back end captures customer interaction data and feeds continuous improvement cycles for intent classification and response tuning. AskSid.ai reported that Azure Cognitive Services and the integration capabilities of Azure enabled onboarding and deployment in four to six weeks, allowing Wolford Fashion to quickly build and launch a dedicated chatbot.
Operational scope centered on the e-commerce channel and customer service functions, providing around the clock question answering and digital shopping support. Governance and workflow restructuring emphasized iterative contextualization of intent data and ongoing refinement of the chatbot by AskSid.ai and Wolford Fashion, with captured interaction data used to improve how the Microsoft Azure Bot Service (AI) communicates and delivers service.
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Cognitive Computing | AI-Powered Application |
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2018 | 2018 |
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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| Salesforce | Legacy | Salesforce Commerce Cloud | eCommerce | eCommerce | n/a | 2016 | 2016 |
In 2016, Wolford Fashion implemented Salesforce Commerce Cloud for eCommerce on its public website. The deployment places Salesforce Commerce Cloud at the center of the company website, wolfordshop.com, to support consumer-facing online retail for the Austria-based apparel and CPG brand.
The implementation leverages core Commerce Cloud capabilities typical of the eCommerce category, including storefront management, product catalog and merchandising, promotions and checkout configuration, and content management for editorial pages. Salesforce Commerce Cloud is used to configure site templates, product detail pages, and promotional catalogs, aligning digital merchandising and content workflows with the online storefront.
Operational responsibility centers on the eCommerce, merchandising, marketing, and customer support functions, with the platform powering day-to-day online assortment and promotional activity. Integrations with other backend systems are not specified in the source, the explicit signal is that Salesforce Commerce Cloud runs the consumer-facing commerce experience on the Wolford website.
Governance around the implementation emphasizes centralized storefront control and business user tooling within Salesforce Commerce Cloud, enabling editorial scheduling, promotion staging, and merchandising rule configuration by digital and merchandising teams. Implementation details focus on site-level configuration and operational ownership rather than named system-to-system integrations.
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Personalization and Product Recommendations | eCommerce |
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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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CRM | CRM |
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2020 | 2020 |
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Customer Engagement | CRM |
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2021 | 2021 |
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Customer Experience | CRM |
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2020 | 2020 |
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Customer Experience | CRM |
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2020 | 2020 |
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Data Management Platform | CRM |
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2016 | 2016 |
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Marketing Analytics | CRM |
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2019 | 2019 |
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Marketing Analytics, Data Management Platform | CRM |
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2023 | 2023 |
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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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2021 | 2021 |
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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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2021 | 2021 |
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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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2020 | 2020 |
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Content Delivery Network | IaaS |
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2015 | 2015 |
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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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2018 | 2018 |
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