Picventory, image based inventory tracking and checkout app

Animal Assisted Happiness Redesign
May 24, 2021
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Picventory, image based inventory tracking and checkout app

Completed by HenryG at
Categories
My Role:

UX/UI Designer

Tools:

Miro, Whimsical, Figma, GDrive, Zoom, StoryboardThat

Prototype:

Figma Prototype

Presentation:

Google Slides

Collaborators:

Randy Hembrador, Liz Sweeney

Website:

Github Pages

The Question

How might we use new image recognition technologies to improve the lives of small business owners?

Hypothesis

An app that lets retail business owners and employees easily identify objects and adjust their inventories can help small business owners significantly.

User Insight - Meet Miranda

Identifying how items are captured in an inventory -and keeping that information accurate- is labor intensive and mentally draining. Whether to do it or not is a “choice” between flexibility and accuracy.

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User Interviews

We have ‘Ahi Tuna’ as ‘Yellowfin’...not everyone knows it’s ‘Tuna’

...they have a few questions and I'm in the middle of a transaction…(but) I can't afford to have a bigger team

If I didn't have to tag items that would save me a lot of time!
User Interview Sticky Notes


Problem Statement

We believe that an image-recognition scanner would eliminate the need for a lot of what makes inventory management so draining, and let Miranda be both flexible and accurate. Affinity Diagram Process

Storyboard and User Flow

The following images present the journey user would take, and based on the journey a typical user flow in the app. The user flow plays a crucial part in designing the product.

Prototypes and Usability Testing

With the Figma prototype we tested the following tasks:

  • Associating video feed objects with the app UI
  • Adding a correctly recommended object to the transaction
  • Navigating an incorrect recommendation
  • Completing a transaction
Usability Testing Sticky Notes