Introduction: Leading Transformation in Retail
In an era where digital transformation and customer-centric strategies define the future of retail, true leaders embody the intersection of innovation, people-first leadership, and pragmatic execution, leveraging data and AI to drive meaningful change.
My way: I bring a human-centric perspective to technology and transformation, prioritizing people over tools, ensuring that business strategies align with both employee and customer needs.
In my interview with Globant, I shared my insights on composable architecture, AI’s role in retail, legacy system integration, and the importance of data consistency – all while emphasizing the critical role of human collaboration in driving successful transformation.
Balancing Composable Architecture with System Integration
Question: How do you balance the need for composable architecture with the complexities of system integration in your retail technology stack?
Giovanna: “I am, above all, a pragmatic leader focused on business outcomes and people. Technology – whether it’s Excel, AI, or blockchain – is merely a tool to serve a purpose. The true asset in any business is its people: internal teams and external customers.
When I began the transformation journey at Auchan in 2022, I started with people first. I examined the experience and processes of my internal teams, then identified the gap between what marketing was delivering and what customers truly expected. Tools help bridge that gap, but they are not a plug-and-play solution.
My approach is technology-agnostic. Coming from a political science background rather than engineering, I focus on asking the right questions of any tool – including AI. For example, I might use ChatGPT to streamline redundancy in presentations, but I always retain control over the final output. AI helps me optimize time and energy, allowing me to focus on strategic reviews and deeper analysis – like interpreting survey data or refining customer insights.”
The Role of AI in Reshaping Retail Architecture
Question: How do you see AI reshaping retail architecture, particularly in real-time decision-making and personalization?
Giovanna: “I envision AI as an enhancer of human skills, both online and offline.
Online, AI helps create smarter customer profiles. For instance, it can track whether a customer has been searching for specific products over months or how they’ve interacted with our campaigns since the last promotion. This enables my e-commerce team to refine presentations, communications, and offers with precision and speed.
Offline, AI empowers sales assistants with real-time insights. Imagine walking into a store where the system alerts the assistant that you’ve purchased accessories in specific colors over the past six months, along with your preferred promotions. This allows for genuine, personalized conversations – the assistant can reference past purchases and suggest complementary items, creating a seamless and human-centric experience.
I’m particularly excited about the future of AI-driven e-commerce avatars that send personalized messages, such as: ‘You bought this item – today, we have a promotion just for you, and here’s a preview of our new collection.’ This creates a memory system where AI welcomes you back, asks about your experience, and closes the feedback loop – ultimately elevating the entire customer journey.”
Integrating Legacy Systems with Modern Cloud-Native Solutions
Question: How do you approach the integration of legacy systems with modern cloud-native solutions?
Giovanna: “I approach this with no rigid preconceptions. My priority is understanding how a cloud solution will deliver ROI by improving team experience, customer experience, and business results. If a solution is just a digital novelty without clear value, I reject it.
If a solution enhances customer and employee experiences while accelerating business growth, I’m open to exploring it. However, I reject one-size-fits-all approaches. Not every market needs the same mix of physical stores, e-commerce, or m-commerce. One country may require more e-commerce and fewer physical stores, while another might benefit from Instagram testing before scaling to e-commerce and pop-ups.
Flexibility and context are key. The goal is to tailor solutions to local needs while maintaining a cohesive global strategy.”
Maintaining System Reliability Amid Architectural Innovation
Question: What challenges have you encountered in maintaining system reliability while pursuing innovation?
Giovanna: “The biggest challenge is people – not technology.
We often hear that people resist change, but in my experience, resistance stems from unclear strategy or vision. Many companies impose top-down decisions without proper communication or involvement. My approach is different: I start by understanding the current state – where we began, where we are now, and what’s happening across all teams.
When I identify blockages or silos, I facilitate open discussions where teams can voice concerns but must also propose solutions. This engages people because they see that I’m listening and co-creating with them.
This method turns challenges into opportunities. While I can’t know every business process—and neither can the CEO – collaborating with teams allows us to mitigate risks, prevent problems, and co-create lasting solutions. The result? More engaged teams, better outcomes, and sustainable transformation.”
Ensuring Data Consistency Across Retail Systems
Question: What strategies do you employ to ensure data consistency across your retail systems?
Giovanna: “We collect data from every department and interaction, but the real issue is fragmented or unclear data. For example, a customer might use one email for e-commerce, another for the mobile app, and a third for in-store purchases. Without a unified view, the system treats them as three different people – when in reality, it’s the same customer.
This is why I’ve been advocating for Customer Data Platforms (CDPs) since 2022. A CDP recognizes that multiple emails or interaction points belong to the same individual, enabling true personalization and clear data analysis.
As the saying goes: ‘Garbage in, garbage out.’ I need accurate, consolidated data to understand why results are positive or negative, how we reached them, and what interactions drove those outcomes.
To achieve this, I rely on well-trained, senior professionals who understand the global perspective. Isolated data leads to misleading conclusions. My approach is to start with the big picture, then drill down into actionable details – whether a trend is due to seasonal factors, weather, or delivery issues.
Context is everything. Only then can we make informed decisions that drive real change.”
