WALMART + GENAI

WALMART
+ GENAI

Redefining how Walmart empowers its people and customers—with AI

Company:

Company:

Walmart

Walmart

Role:

Role:

Product Design, Prototyping, R&D, Research

Product Design, Prototyping, R&D, Research

Date:

Date:

2023/24

2023/24

Three products. One vision. Delivering smarter, more human-centered AI products and tools across the Walmart ecosystem.

Three products. One vision. Delivering smarter, more human-centered AI products and tools across the Walmart ecosystem.

Walmart’s Chief Product Officer challenged my team to explore how AI could create meaningful impact—right now, and at scale—at Walmart, and not in some distant, hand-wavy future.

Identify key problems within all parts of the org—from Home Office, to store-level ops, vendor integration, and customer needs—and design near-to-medium term solutions that solve these real problems across stores, corporate teams, and customer touch points using AI in its many forms.
My Role
My Role
My Role
My role on the project was multifaceted and full-stack, stepping into several roles in realizing the vision for the several concepts on the project.
• Led UX Research (w/ dozens of interviews, synthesis, insight mapping)
• Owned product concepts, design and prototyping
• Produced high-fidelity concept videos for all three product concepts
• Built the executive-facing story that I presented to Walmart’s CPO
• Balanced research, design, storytelling, and strategy—end to end

My role on the project was multifaceted and full-stack, stepping into several roles in realizing the vision for the several concepts on the project.

• Led UX Research (w/ dozens of interviews, synthesis, insight mapping)
• Owned product concepts, design and prototyping
• Produced high-fidelity concept videos for all three product concepts
• Built the executive-facing story that I presented to Walmart’s CPO
• Balanced research, design, storytelling, and strategy—end to end

My role on the project was multifaceted and full-stack, stepping into several roles in realizing the vision for the several concepts on the project.
• Led UX Research (w/ dozens of interviews, synthesis, insight mapping)
• Owned product concepts, design and prototyping
• Produced high-fidelity concept videos for all three product concepts
• Built the executive-facing story that I presented to Walmart’s CPO
• Balanced research, design, storytelling, and strategy—end to end
My role on the project was multifaceted and full-stack, stepping into several roles in realizing the vision for the several concepts on the project.
• Led UX Research (w/ dozens of interviews, synthesis, insight mapping)
• Owned product concepts, design and prototyping
• Produced high-fidelity concept videos for all three product concepts
• Built the executive-facing story that I presented to Walmart’s CPO
• Balanced research, design, storytelling, and strategy—end to end

UX RESEARCH

What We Heard

What We Heard

After weeks of interviews with associates, store & associate managers, Walmart+ and general Walmart customers, we landed on problem statements and insights around three distinct areas.

For managers and associates, manual scheduling of OPD shifts, with no automation or predictive data/support was leading to ~2+ hours daily spent manual scheduling and logistical support for key managerial staff.

For corporate (Home Office) employees, informational silos, lack of centralized ownership documentation, and a general lack of a standardized means of communication and tooling has led to gross inefficiencies in the workplace.

And for customers, issues like tracking down Walmart employees in the store, incorrect in-stock information for shopping (both in store and online) and general lack of in-store support were key pain points.

What We Learned
What We Learned
What We Learned
After initial synthesis of our interviews—and running workshop sessions with many of the same research subjects, where we discussed possible AI-informed solutions—a very clear theme emerged across all three groups. AI, at least AI through the lens of how all of the subjects understood it, can help—but only when it fits the moment, and provides real, tangible solutions.

After initial synthesis of our interviews—and running workshop sessions with many of the same research subjects, where we discussed possible AI-informed solutions—a very clear theme emerged across all three groups. AI, at least AI through the lens of how all of the subjects understood it, can help—but only when it fits the moment, and provides real, tangible solutions.

People don't want "magic"
they want clarity, assistance

and most of all, they
want their time back

People don't want "magic"
they want clarity, assistance

and most of all, they
want their time back

Through our research, workshops and concept sessions, one insight stood out the most.

Outside of a small handful of people, most only understand AI through what they see in news headlines and what's being shared and talked about online—and because of that it was our job to deliver them solutions that felt human, obvious, and useful.

Through our research, workshops and concept sessions, one insight stood out the most.

Outside of a small handful of people, most only understand AI through what they see in news headlines and what's being shared and talked about online—and because of that it was our job to deliver them solutions that felt human, obvious, and useful.

Articulating The Solution
Articulating The Solution
Symphony Ensemble & Sage
Symphony Ensemble & Sage
Ultimately, we landed on three unique solutions/concepts for each core problem and Walmart audience.
• For Store Mangers & Associates, Symphony—a smart scheduling and task planning tool for OPD (online pickup & delivery) that uses AI to triangulate staffing gaps and forecast potential trends in online orders to anticipate and automate the service…leading to increased store efficiencies.
• For Home Office employees, Ensemble—an AI-powered dashboard and smart assistant for task management triage and communication clarity that's trained on all of Walmart's internal documentation and knowledge base. Additionally, with hooks into all of internal tools, it's able to let employees know what they need to know…exactly when they need to know it.
• And for Walmart customers, Sage—a Context-aware, personalized concierge for all things Walmart…allowing for natural language support and real-time in-store information to help alleviate friction in the in-store and online shopping experience for Walmart customers.

Ultimately, we landed on three unique solutions/concepts for each core problem and Walmart audience.

• For Store Mangers & Associates, Symphony—a smart scheduling and task planning tool for OPD (online pickup & delivery) that uses AI to triangulate staffing gaps and forecast potential trends in online orders to anticipate and automate the service…leading to increased store efficiencies.

• For Home Office employees, Ensemble—an AI-powered dashboard and smart assistant for task management triage and communication clarity that's trained on all of Walmart's internal documentation and knowledge base. Additionally, with hooks into all of internal tools, it's able to let employees know what they need to know…exactly when they need to know it.

• And for Walmart customers, Sage—a Context-aware, personalized concierge for all things Walmart…allowing for natural language support and real-time in-store information to help alleviate friction in the in-store and online shopping experience for Walmart customers.


OUTCOME

Designing with AI isn’t about spectacle—it’s about empathy.
The most effective solutions we created weren’t the flashiest or most futuristic—but the ones grounded in real, human needs.
Wearing many hats throughout this project—from research to design to storytelling—wasn’t just a necessity, it became a strategic advantage. It gave me the ability to shape the entire arc of the work, from insight to execution, without losing clarity or intent. Beautiful, clear storytelling is just as vital as the product itself—and it’s what made these concepts resonate, not just as ideas, but as a compelling, actionable vision for the future of Walmart.

OUTCOME

Designing with AI isn’t about spectacle—it’s about empathy.

The most effective solutions we created weren’t the flashiest or most futuristic—but the ones grounded in real, human needs.

Wearing many hats throughout this project—from research to design to storytelling—wasn’t just a necessity, it became a strategic advantage. It gave me the ability to shape the entire arc of the work, from insight to execution, without losing clarity or intent. Beautiful, clear storytelling is just as vital as the product itself—and it’s what made these concepts resonate, not just as ideas, but as a compelling, actionable vision for the future of Walmart.