How Arvind Fashions Ltd leads the fashion industry with powerful data analytics on BigQuery

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Arvind Ltd has been in the apparel industry for more than 90 years, with its retail powerhouse Arvind Fashions Ltd being the backbone of well-known names in the retail fashion industry in India.
Arvind Fashions Ltd (Arvind) has seen significant growth in its portfolio with new franchises being added every year. The six high conviction brands include Tommy Hilfiger, Calvin Klein, Sephora, Arrow, U.S. Polo Assn. & Flying Machine.
To secure a foundation for future growth, the company has embarked on a digital transformation (DX) journey, focusing on profitability and improving the customer experience. The key objectives for Arvind’s DX is to unlock the value of existing applications, gain new insights, and build a solid workflow with resilient systems.
Getting Google Cloud to address the challenges around insights & analytics was a natural step forward, since Arvind had already formed a relationship with Google Cloud, starting with its productivity and collaboration tools during the pandemic.
Key Challenges
Arvind’s enterprise applications estate is a mix of SAP, Oracle POS, logistics management systems and other applications. Having so many different applications made it a challenge for the company to bring all of this data together to drive retail insights and at the same time maintain the freshness of its products.
As a case in point, the existing sales reporting and inventory reconciliation process had been enabled by a mix of automated and semi-automated desktop applications. There were challenges to scale the infrastructure in order to process large amounts of data at a low latency.
The synchronization of master data across functions was critical to build the data platform that provides consistent insights to multiple stakeholders across the organization.
Solution Approach – Modern Data Platform
There are several ways to solve the challenges above and do more by building a modern data analytics platform. For example, using a data lake based approach that builds use case by use case, hybrid data estates and so on. Regardless of the approach, it is important to define the solution based on certain principles.
In Arvind’s scenario, the key business principles considered are that data platforms should support Variety, Variability, Velocity and Volume. Each of these 4 V’s are critical business pivots to successful fashion retailing. Variety in SKU’s to deal with myriad fashion trends every season, Variability in shopping footfalls due to different festivities, weekends and special occasions, Velocity to be agile and responsive to customer needs, and Volumes of data that bring richer insights.
This is where Google BigQuery enabled data platform comes in, as it is able to meet the needs above.

Solution Architecture – Current Capabilities & Future Vision
BigQuery is the mothership of the data and analytics platform on Google Cloud. Its serverless construct ensures that data engineering teams focus only on insights & analytics. Storage and compute is decoupled and can be independently scaled. BigQuery has been leveraged to service both the raw as well as the curated data zones.
With BigQuery procedures, it is possible to process the data natively within the data warehouse itself. Procedures have been leveraged to process the data in a low latency manner with the familiar SQL.
But then what happens to advanced analytics and insights? With simplicity being our key guiding principle, BigQuery machine learning ensures that data analysts can create, train and deploy analytics models even with complex requirements. It can also consume data from Looker Studio, which is seamlessly integrated with BigQuery.
Here are the key principles and highlights of the data platform that have been achieved:
- Simple, yet exhaustive – We needed a solution with vast technical capabilities such as data lake & data warehouse, data processing, data consumption, analytics amongst others. And at the same time it needed to be simple to implement and run ongoing operations.
- Agility – High quality analytics use cases typically require a significant amount of time, effort and skill set. While building a simple solution we ensured that the selection of technology services ensured agility in the long term.
- Security – An organization can be truly successful if the insights and analytics operations are democratized. But while data is made available to a wider community, we need to ensure data governance and security.
- Ease of operations – Data engineering teams spend a lot of time doing infrastructure setting and management operations. With BigQuery, teams can put in more effort on building the data pipelines and models to feed into analytics instead of worrying about the infrastructure operations.
- Costs – Decoupling storage and compute allows for flexible pricing. A pay-as-you-go model is the ideal solution to managing costs.
Business Impact
The ingestion frequency of the store level inventory (~800 stores) has now been changed to daily. With the additional data volumes and processing the scaling on BigQuery has been seamless. There are new processes and dashboards to address the reconciliation and root cause analysis. Operational efficiencies have improved leading to better productivity and turn around time of critical processes.
The discrepancies in various reconciliation activities have drastically reduced by an order of magnitude of 300X due to the capabilities offered by the data platform. Not only is it possible to identify discrepancies but the data platform has also enabled in identifying the root causes for the same as well.
Arvind Fashions Ltd have also been able to enhance some of the existing business processes and systems with insight from the data platform.
It’s going to be an exciting journey for Arvind Fashions Ltd and Google Cloud. There are several initiatives ready for kick off such as getting more apps on the edge devices, warehouse analytics, advanced customer data platforms, predicting the lifecycle of designs, style codes and other exciting initiatives.
Google’s Intelligent Products Essentials Assist Manufacturers in Product Development Journey

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Expectations for both consumer and commercial products have changed. Consumers want products that evolve with their needs, adapt to their preferences, and stay up-to-date over time. Manufacturers, in turn, need to create products that provide engaging customer experiences not only to better compete in the marketplace, but also to provide new monetization opportunities.
However, embedding intelligence into new and existing products is challenging. Updating hardware is costly, and existing connected products do not have the capability to add new features. Furthermore, manufacturers do not have sufficient customer insights due to product telemetry and customer data silos, and may lack the AI expertise to quickly develop and deploy these features.
That’s why today we’re launching Intelligent Products Essentials, a solution that allows manufacturers to rapidly deliver products that adapt to their owners, update features over-the-air using AI at the edge, and provide customer insights using analytics in the cloud. The solution is designed to assist manufacturers in their product development journeys—whether developing a new product or enhancing existing ones.
With Intelligent Products Essentials, manufacturers can:
- Personalize customer experiences: Provide a compelling ownership experience that evolves over the lifetime of the product. For example, a chatbot that contextualizes responses based on product status and customer profile.
- Manage and update products over-the-air: Deploy updates to products in the field, gather performance insights and evolve capabilities over time with monetization opportunities.
- Predict parts and service issues: Detect operating thresholds, anomalies and predict failures to proactively recommend service using AI, reducing warranty claims, decreasing parts shortages and increasing customer satisfaction.
In order to help manufacturers quickly deploy these use cases and many more, Intelligent Products Essentials provides the following:
- Edge connections: Connect and ingest raw or time-series product telemetry from various device platforms utilizing IoT Core or Pub/Sub and enable deployment and management of firmware over-the-air and machine learning models with Vertex AI at the edge.
- Ownership App Template: Easily build connected product companion apps that work on smartphones, tablets, and computers. Use a pre-built API and accompanying sample app that can incorporate product or device registration, identity management, and provide application behavior analytics using Firebase.
- Product fleet management: Manage, update and analyze fleets of connected products via APIs, Google Kubernetes Engine, and Looker.
- AI services: Create new features or capabilities for your products using AI and machine learning products such as DialogFlow, Vision AI, AutoML, all from Vertex AI.
Enterprise data integration: Integrate data sources such as Enterprise Asset Management (EAM), Enterprise Resource Planning (ERP), Customer Relationship Management (CRM) systems and others using Dataflow and BigQuery.

Intelligent Products Essentials helps manufacturers build new features across consumer, industrial, enterprise, and transportation products. Manufacturers can implement the solution in-house, or work with one of our certified solution integration partners like Quantifi and Softserve.
“The focus on intelligent products that Google Cloud is deploying provides a digital option for manufacturers and users. At its heart, systems like Intelligent Product Essentials are all about decision making. IDC sees faster and more effective decision-making as the fundamental reason for the drive to digitize products and processes. It’s how you can make faster and more effective decisions to meet heightened customer expectations, generate faster cash flow, and better revenue realization,” said Kevin Prouty, Group Vice President at IDC. “Digital offerings like Google’s Intelligent Product Essentials potentially go the last mile with the ability to connect the digital thread all the way through to the final user.”
Customers adopting Intelligent Products Essentials
GE Appliances, a Haier company, are enhancing their appliances using new AI-powered intelligent features to enable:
- Intelligent cooking: Help cook the perfect meal to personal preferences, regardless of your expertise and abilities in the kitchen.
- Frictionless service: Build smart appliances that know when they need maintenance and make it simple to take action or schedule services.
- Integrated digital lifestyle: Make appliances useful at every step of the way by integrating them with digital lifestyle services – for example, automating appliance behaviors according to customer calendars, such as oven preheating or scheduling the dishwasher to run in the late evening.
“Intelligent Products Essentials enhances our smart appliances ecosystem, offering richer consumer habit insights. This enables us to develop and offer new features and experiences to integrate with their digital lifestyle.“ —Shawn Stover, Vice-president Smart Home Solutions at GE Appliances.https://www.youtube.com/embed/zaWAJN8aKOw?enablejsapi=1&
Serial 1, Powered by Harley-Davidson, is using Intelligent Product Essentials to manage and update its next generation eBicycles, and personalize its customers’ digital ownership experiences.
“At Serial 1, we are dedicated to creating the easiest and most intuitive way to experience the fun, freedom, and adventure of riding a pedal-assist electric bicycle. Connectivity is a key component of delivering that mission, and working together to integrate Intelligent Product Essentials into our eBicycles will ensure that our customers enjoy the best possible user experience.”— Jason Huntsman, President, Serial 1.
Magic Leap, an augmented reality pioneer with industry-leading hardware and software, is building field service solutions with Intelligent Products Essentials with the goal of connecting manufacturers, dealers, and customers to more proactive and intelligent service.
“We look forward to using Intelligent Products Essentials to enable us to rapidly integrate manufacturers’ product data with dealer service partners into our field service solution. We’re excited to partner with Google Cloud as we continue to push the boundaries of physical interaction with the digital world.” — Walter Delph, Chief Business Officer, Magic Leap
Intelligent Product Essentials is available today. To learn more, visit our website.
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FFF Enterprises See 80% Improvements in Speed at Lower Cost by Moving SAP Data to Google Cloud
FFF Enterprises, a pharmaceutical distributor of lifesaving biopharma products, vaccines and plasma products deployed SAP on Google Cloud to leverage its ability to scale server demands, reduce costs and improve speed and performance. Learn how the migration helps FFF empower healthcare to care!
Fortune 500 Electronics Manufacturer Makes Collaboration a Competitive Advantage…and Saves $2 Million A Year

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When electronics manufacturer Sanmina adopted G Suite several years ago, its goals were clear: reduce licensing costs, simplify management—particularly of its messaging tools—and cut hardware expenditures.
Fast forward several years and the Fortune 500 company has achieved those goals and more. By moving to Gmail, Sanmina reduced more than 110 email servers by over 90%, freed up its IT support function from basic administration to focus on more valuable tasks, and saved $2 million a year on total cost of ownership (including over $1.5 million a year on IT licensing).
A long-term plan: cloud collaboration
For Sanmina CIO Manesh Patel, the impressive returns are part of a bigger plan. From the beginning, Manesh recognized the potential of moving to the cloud to facilitate collaboration across Sanmina’s global operations. With more than 45,000 employees across 26 countries delivering different elements of a global value chain from design to delivery, the benefits of improving collaboration were clear. It could open up innovation by drawing on ideas from different locations and teams and enhance quality control throughout the manufacturing process.
As the first step towards this compelling vision, Manesh focused on rolling out Gmail and Calendar. Both applications were already familiar to many employees and offered a straightforward route to embrace cloud services. With cost savings quickly following, colleagues across Sanmina could see clear benefits from the shift to the cloud.
At the same time, Sanmina made the full suite of tools available and allowed adoption to occur organically across the organization.
Driving adoption
As interest in cloud computing grew, G Suite provided an ideal platform for employees to explore new ways of working together—with some parts of the business swift to develop effective uses for the collaborative tools. Building on the work of these leaders, Manesh has promoted adoption of the suite on several fronts over the past 18 months. Manufacturing, Quality, Engineering, and Supply Chain are a few examples of early adopters that benefit from the improved collaboration in G Suite.
The company also looked to build greater awareness of new G Suite features and functions. It engaged with Google partner Maven Wave. “Maven Wave has been a terrific and responsive partner,” he says. “They’re open and adapted their approach to our needs, while bringing a core competency on G Suite.” Maven Wave brought the experience of working with other global companies on similar initiatives, and an effective change management methodology that was tailored to fit Sanmina’s culture.
“Hangouts Meet fundamentally changes how people interact; you can put a face to a name and really engage with your team. It’s as close as you can get to meeting in person.”
– Manesh Patel, CIO, Sanmina
The messaging tools were not being used to full effect either. When Gmail was first introduced, training was optional; some of the teams were therefore not familiar with features such as attaching documents from Google Drive or archiving content. To help ensure the whole business was using Gmail to its full potential, there has been strong internal promotion of Google’s easy-to-use, online G Suite Training tools. “It’s very easy to consume and very effective,” says Manesh.
Embracing collaboration
Today, Sanmina employees rely daily on several G Suite tools, including Docs, Sheets, Slides, and most recently Hangouts Meet.
“More and more of our employees use Hangouts Meet. Our employees often work as part of teams that are dispersed around the world, so they don’t have the chance to actually meet their colleagues,” Manesh explains. “Hangouts Meet fundamentally changes how people interact; you can put a face to a name and really engage with your team. It’s as close as you can get to meeting in person.”
Manesh acknowledges that this is not simply a result of technological change, but a cultural shift as people grow more comfortable with video calls in their personal lives. Hangouts Meet brings that same ease of use to professional settings—and even well-traveled executives are adopting Hangouts Meet, appreciating its versatility across multiple platforms.
To encourage further use, the IT team has committed to equipping at least one room in every Sanmina facility around the world with Hangouts Meet hardware. “We definitely expect to save time and reduce travel costs with Hangouts Meet,” Manesh confirms. “But the bigger benefit for us is definitely the way it brings people together.”
Collaborating across teams and communities
With that goal in mind, Manesh has also promoted several other collaboration tools—in particular Hangouts Chat, Reveal, and Team Drives.
“More and more of our communications take place via Chat, whether in a team environment or one-to-one setting,” he says. “It’s the asynchronous tool that works alongside Hangouts Meet, for synchronous collaboration.”
Similarly, the use of Reveal—a corporate video sharing platform developed by Maven Wave and Google—is growing. “We’ve just started using Reveal to distribute regular video messages from the CEO to our employees and we also expect it to be a big part of our internal communications,” Manesh says. These videos help keep Sanmina employees aligned with company goals and increase a sense of connectedness across the global organization.
Sharing files between dispersed teams
The move to increase use of Team Drives, meanwhile, is one of Manesh’s priorities. “In every one of our factories worldwide, we have a shared drive on a shared server. We’re in the process of moving those to Team Drives, which will provide a big benefit in terms of infrastructure and in terms of how we work.”
“G Suite enables us to collaborate efficiently and create complex process documents that help us adhere to strict quality control requirements.”
– Manesh Patel, CIO, Sanmina
Manesh and his team have spent a lot of time and effort improving capacity, redundancy, and failover capabilities in preparation for the change. Team Drives should reduce storage requirements and remove challenges and costs tied to back-up and maintenance.
More importantly, the use of Team Drives will mean that files can be shared across multiple sites to further improve collaboration across teams.
Bringing collaboration to the factory floor
The power of G Suite is evident across the organization—from its corporate offices to its factories worldwide. “We’ve had employees creating a Google Sheet, sharing it with five team members, and then displaying it on a big screen on the manufacturing floor so everyone can see the project status,” he explains.
Another key process that is being transformed is quality reporting. The quality team has identified that moving large quantities of required documentation from legacy technologies to G Suite can assist with transparency and version control, routing, and approvals. “G Suite enables us to collaborate efficiently and create complex process documents that help us adhere to strict quality control requirements,” Manesh says.
“We need to empower employees to get the information they need, when they need it, on any device. G Suite makes that happen.”
– Manesh Patel, CIO, Sanmina
Gaining a competitive edge
Sanmina continues to achieve solid year-over-year returns on its investment in G Suite, and those returns will grow with increased adoption. “G Suite really is at the heart of our efforts to get people to work in ways that are more efficient and effective,” Manesh says.
For a company with a rich history of innovation and service, the expanded use of G Suite is another way that Sanmina stands out from competitors. “We need employees to be empowered to get the information they need, when they need it, and on any device. G Suite makes that happen.”
Google Cloud CCAI’s Support for the Public Sector Soars during the Pandemic

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Scaling Virtual Support in the Pandemic Era: The AI Connection
Since the early days of the pandemic, we’ve partnered with government organizations and academic institutions to serve communities at scale with Contact Center Artificial Intelligence (CCAI). I sat down with Bill MacKenzie, IT liaison for the Upper Grand School District in Ontario, and Marco Palermo, director of digital government and modernization, to discuss how they embraced CCAI to introduce scalable service delivery to residents and students alike. I’m sharing more on their stories below, and for the full overview, check out our Google Cloud Public Sector Summit session, Scaling Virtual Support in the Pandemic Era: The AI Connection.
Upper Grand School District: Answering questions with speed and accuracy
Bill MacKenzie described the Upper Grand School District’s struggles at the beginning of the pandemic, particularly helping parents with IT issues. The staff-oriented help desk was not equipped to assist parents trying to securely login for students as young as kindergarten. Without sufficient support for parents, the District was struggling to handle thousands of phone calls a day.
To alleviate the manual strain, they turned to Quantiphi, a Google Cloud partner, to implement Google Cloud Dialogflow. They were fully functional within a few weeks. The new website provided real-time responses as well as clear documentation to help parents get up and running quickly.
“In the first 10 days, we had over 5,000 hits, and the accuracy rate was 92%,” MacKenzie said.
The district doesn’t know what the future holds, but now that they have been through the process, they are confident they now understand how to create their own bots to meet critical needs.
City of Toronto: Getting critical information to the community
Marco Palermo explained how the city of Toronto was facing a very rapid and fluid situation at the beginning of the pandemic. Getting information to constituents was extremely important, and they needed alternative channels to deliver that information.
Toronto has been committed to workforce equity and inclusivity in order to best represent the diversity of its residents. As a result, solutions had to be accessible to all. The bot handled 25,330 unique users and addressed 20,174 total questions with an 80% accurate response rate in the first four months. It’s been a huge success for the city, with plans to expand its capabilities.
Personalized response to the pandemic challenge
I noted that even before the pandemic, government leaders were asking for a way to provide more flexible personal experiences and better support outside of normal business hours. Around 60% of constituents want more self-service options and 75% would happily interact with digital resources if they could get the answers they needed.
Google Cloud CCAI addresses these needs with a single core of intelligence that provides a consistently high-quality conversational experience—human or virtual—across all channels and platforms. It can be deployed on legacy infrastructure without upgrades in an average of two weeks.
CCAI operates with a conversational core that centralizes the ability to talk, understand, and interact, orchestrating high-quality conversations at scale. It provides services in three different ways:
- Virtual Agent AI allows natural conversation with customers to identify and address their issues effectively
- Agent Assist AI helps human agents by providing real-time turn-by-turn guidance so they can better serve constituents
- Insight AI determines metrics and trends in real-time to enable faster and more accurate insights
CCAI provides consistency across every application. It can go off-script when answering complex questions, adjusting human conversation with the capacity to handle unexpected stops and starts, odd word choices, or implied meanings. It can also handle multiple use cases for the customer, such as taking payments, updating information, providing information, and more. By allowing agencies to automate routine tasks and reduce the amount of time employees need to dedicate to answering calls, the solution created cost savings for the agency.
Explore more on this session by visiting the Public Sector Summit on-demand video.
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Work beyond borders: How to use G Suite with Microsoft and your favorite third-party applications
The average enterprise uses 129 different applications on a day to day basis. These applications enable critical workflows that drive businesses forward. But when these apps don’t work well together that leads to lost time, frustration, and missed opportunities.
Professionals have access to dozens of applications in their organization. Apps like DocuSign, Box, or Trello can simplify individual processes and drive businesses to adopt newer ways of work. It’s really great that there seems to be an app specifically designed for what we need to get done for each task.
But there’s a downside to this proliferation of apps. The flood of notifications and disconnected processes frustrates users. Our work is spread across more apps than ever before, which inevitably leads to lots of apps switching, and reduces our ability to focus. Context-switching between applications cuts into time spent on value-additive work.
Learn how G Suite works seamlessly with Microsoft and other third-party applications to support key workflows, enhance collaboration, and help teams get to impact quickly.
*Google Workspace, formerly known as G Suite.
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