Max Fashion
77 ‘ Town Centre, Building # 3, East Wing, 5th Floor, Yemalur, Off Old Airport Road,
Bengaluru, 560037,
India
Bengaluru, 560037,
India
91 80 6999 9915
Retail
Max Fashion Technographics
Max Fashion Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Max Fashion and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 8000 Max 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 Max Fashion has purchased the following applications: Oracle Retail (ex Retek) for Retail Management in 2011, Zendesk Chat for Chatbots and Conversational AI in 2017, Google Workspace (Formerly Google G-Suite) 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 Max Fashion is running and its propensity to invest more and deepen its relationship with Oracle , Zendesk , Google 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 Max Fashion revenues, which have grown to $421.0 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 Max 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.
Max Fashion Tech Stack and Enterprise Applications
Max Fashion ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle Retail (ex Retek) | Retail Management | ERP Services and Operations | n/a | 2011 | 2012 |
In 2011, Max Fashion implemented Oracle Retail (ex Retek) for Retail Management. The implementation was centered on the Planning Division, where a subject matter expert represented planning as part of the core Oracle Retail implementation team, aligning merchandising strategy with the retail planning platform.
Oracle Retail (ex Retek) was configured to support merchandise planning, demand forecasting, assortment planning, allocation and replenishment workflows, and the planning data model including merchandise hierarchy and planning calendar structures. The Planning Division SME led functional specification work, business rule definition, scenario configuration, and validation of forecast and allocation logic.
The implementation connected planning outputs to operational execution by integrating with store level point of sale processes and central master data and purchasing workflows to enable order release and allocation execution. Operational coverage focused on planning and merchandising functions across Max Fashion’s retail organization, embedding planning workflows into merchandise lifecycle management.
Governance was provided by a core implementation team with the Planning Division SME driving acceptance criteria, test case development, and knowledge transfer. Deliverables included configured planning modules, process documentation, and user training for merchandising and category planning teams.
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Max Fashion AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Zendesk | Legacy | Zendesk Chat | Chatbots and Conversational AI | AI-Powered Application | n/a | 2017 | 2017 |
In 2017, Max Fashion deployed Zendesk Chat on its public website. The implementation embeds the Zendesk Chat widget directly in the storefront to enable real time customer conversations during online shopping. The deployment is oriented toward online customer support workflows for the retailer.
The Zendesk Chat deployment configures the web chat widget, agent console, proactive chat triggers, canned responses, transcript capture, and session routing to align with ecommerce support flows. Functional capabilities concentrate on live messaging, agent assisted resolution, chat transcripts for case creation, and canned response libraries to streamline repetitive inquiries.
Operational ownership is assigned to Max Fashion customer service and digital commerce teams, with governance focused on chat handling processes, agent routing rules, and transcript retention for escalation. This Max Fashion Zendesk Chat Chatbots and Conversational AI implementation supports customer service functions on the company website.
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Max Fashion Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2017 | 2017 |
In 2017, Max Fashion implemented Google Workspace (Formerly Google G-Suite) as its primary Collaboration platform. Public site assets show Google Workspace is active on Max Fashion web properties, supporting organization wide use across its corporate and retail operations in India for email and collaborative work.
The deployment centers on core Google Workspace components, including Gmail, Google Drive, Google Calendar, Google Meet, Google Docs, Google Sheets and Google Slides, administered via the Google Workspace Admin console to centralize account and security policy management. Functional coverage emphasizes Collaboration workflows for corporate communications, merchandising coordination, store operations and HR, with standard controls such as organizational units, group provisioning, mobile device management and data sharing policies applied through the admin console. Governance is implemented using native Google Workspace policy controls to manage access, external sharing and data governance, creating a cloud first collaboration architecture that consolidates messaging and document collaboration across Max Fashion.
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Max Fashion Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application, Web and Enterprise Search | Content Management |
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2017 | 2017 |
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Max Fashion eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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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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Max 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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2019 | 2019 |
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Data Management Platform | CRM |
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2019 | 2019 |
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Max Fashion ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2017 | 2017 |
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Max Fashion PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2017 | 2017 |
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Transactional Email | PaaS |
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2017 | 2017 |
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Max 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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2017 | 2017 |
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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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2020 | 2020 |
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IT Decision Makers and Key Stakeholders at Max Fashion
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
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Manager - Retail Operation | Manager | Finance | |
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National Head(Vice President) - Visual Merchandising | Director | Finance | |
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Merchandise Planner | Manager | Finance | |
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Apps Being Evaluated by Max Fashion Executives
APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Max Fashion IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Max Fashion digital transformation priorities and AI adoption trends.
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD Max Fashion Technographics
Max Fashion is a Retail organization based in India,
with around 8000 employees and annual revenues of $421.0 million.
Max Fashion operates a diverse technology stack with applications such as
Oracle Retail (ex Retek), Zendesk Chat and Google Workspace (Formerly Google G-Suite),
covering areas like Retail Management, Chatbots and Conversational AI and Collaboration.
Max Fashion has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Oracle, Zendesk and Google.
Max Fashion recently adopted applications including
MoEngage Enagage in 2021, Cloudflare CDN in 2020 and Hotjar in 2019,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Max Fashion’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Max Fashion’s profile with verified software purchases,
vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Max Fashion technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.