Amazon Dash Cart

Although online shopping increased during COVID, 70% of grocery shopping is still done in physical stores, and consumers desire contact-free transactions more than ever. Amazon’s Dash Cart creates a frictionless shopping experience that allows customers to bypass the store checkout. Computer vision algorithms identify items placed in the cart so customers can simply exit through a specially designated lane to pay for groceries.

Scope

Strategize

Double down on Amazon’s value proposition of price, selection and convenience.

Understand

Decode mental models and behaviors to improve discoverability.

Adapt

Optimize the customer experience within hardware constraints.

Design

Create a scalable design system to improve 
UI, branding, and accessibility.

Process

01
Discover

Assessed research findings and best practices and audited designs to define opportunities. Compiled inspirational designs and evaluated competitor experiences to hone design direction.

02
Align

Conducted stakeholder interviews and a workshop to align on product strategy and visual branding.

03
Design & Test

Updated information architecture to improve discoverability of key features that were instrumental in achieving business outcomes. Outlined and prototyped contextual flows and multi-modal interactions to facilitate effective usability testing.

04
Refine

Prioritized design refinements based on usability testing findings, business priority, and development effort.

Outcome

Usability tests revealed the discoverability of key features drastically improved, and users perceived the brand as intended. Further, the design system facilitated efficient communication and collaboration between teams.