Bee Shopping Assistant
Conceptualizing human interactivity with personalized shopping assistants.
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At a glance
The Prompt
“Reimagine a retail experience for 2027.”
The Problem
Shopping at retail stores involves complex wayfinding patterns and lacks uninterrupted employee attentiveness for individual shoppers’ needs.
The Solution
A personalized shopping assistant
Guided in-store navigation to find items
Suggestions for making better buying decisions
Product details and health-based recommendations
The Process
Predispositions
People enjoy interacting with others in stores.
People struggle to resist purchasing junk food.
In-person shopping makes it easier to compare brands and ask questions.
People want to select better quality, the most fresh products.
Should Do, Can Do, Can Know, and Forms (SDCDCKF)
Should Do
Adaptive Interactivity & Contactless Inclusivity
Can Do
Combine with Utility
Can Know
Customer Review Platforms
Forms
Voice Assistant
Semantic Differentials
In-Store Interactions
Information relay to customers
Concept Relays
Concept Development
Rechargeable Drone Bees
Helps customer find product efficiently through navigation and information system.
Locates shopping buddy and relays feedback to store.
Recommends products based on individual’s health and dietary requirements.
Prototypes
Customer Feedback -
Behavioral Exercise
"In big stores like Sam's Club or Costco, signs are hard to see. 😰"
"It helped me find stuff immediately when I could not find what I was looking for. 😁"
"With the bee, it helped save time by enabling me to find wanted items in a nearby store. 👍"
