AI took the world by storm because of ChatGPT, and Wegmans wanted a way to capitalize on this new way to engage with customers.

Wegmans AI Shopping Experience

Ask:

Wegmans is a privately held supermarket chain based out of New York with over $11b in revenue. With ChatGPT taking a prominent role in the tech world, AI has become an increasing player in the products and services companies want to leverage with their users. Wegmans is no different; they requested assistance in incorporating AI into their consumer-facing offerings.

Impact:

  • An AI enabled shopping experience used by one of the largest private supermarket chains in the east coast

  • An AI-driven customer shopping experience that creates a holistic journey from store to home backed by user research

  • Customer-driven insights and recommendations based off user data and shopping history

  • A secure, ethically-conscious implementation of customer data and peace-of-mind

Deliverables:

  • 20+ high-fidelity wireframes and visual comps

  • Conversational design, driven by AI and inspired by ChatGPT

  • User flows highlighting the AI-driven recommendations

  • Sustainability and green software practices

  • Intentional designs focused on digital ethics and data privacy

Client
Wegmans

Dates
Mar - Jun, 2023

Role
UX Designer, Lead

*This project has not gone into production yet. Please contact me for more details and information regarding this project and detailed information about the production process.

Customer focused and AI-driven.

Backed by research, the AI focus of this engagement was key to nail down for Wegmans. Research was conducting utilizing a majority of secondary research, product exemplars, and heuristic analyses.

Incorporating Wegmans’ existing web experiences and mobile applications, I built out an experience centered around an informed, and predictive, customer shopping experience.

Smart, sustainable, and conversational.

  • 20+ high-fidelity wireframes and visual comps

  • Conversational design driven by AI

  • Predictive recommendations utilizing past shopping trips and user data

    • Recipes, food pairings, in-season produce, and more

  • Sustainability built into the shopping experience, highlighting the environmental impacts and origins of what users purchase

  • Security of mind with digital ethics and data privacy at the forefront of the experience

Because this project is not in production yet, certain details, design artifacts, and images are omitted from this public-facing page. For more information and details about my work here please reach out to me to set up time to discuss my project specifics in-depth.

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