Bloomingdales customer base is primarily gen X customers (older folks). If that doesn't change in couple years, we will no longer have Bloomingdales.
How do we make Bloomingdales feel accessible and relevant to Gen Z kids?
In an effort to attract a younger customer base, we created away for Bloomingdales shoppers find deals and host snapchat-like store experiences at exact points in their departments using augmented reality called Holopop (now HoloGrid).
But, In order for these experiences to exist, Bloomingdales stores needed a tool that allows them to anchor holograms to exact points in their stores, such as a coach handbag. To do this, we made Annotator, an iOS app that uses computer vision and outside-in point clouds to recognize points in their stores.
We started with a stakeholder workshop called Post Up. We then affinity mapped the problems into trends.
Then as team, we mapped out the Risk Using a Risk/Reward Matrix.
From the workshop, we came up with the following Epic. As an associate:
We started out with sketching and a paper prototype, showing how the user would mark the object in the video recording to train the AI model.
Using our style guide, I created the visual designs to match our web app.
We created a lo-fi prototype of annotator and tested it with Bloomingdales employees, which underwent 3 rounds.
After we had a version to test, we did ADHOC testing in the Bloomingdales stores with the associates. What we found was that the modal creating part of taking a video and marking it up, took too long. Store Associates have other tasks at hand, and they need to be able to create an anchor in under 1 minute to make it worth their time.
The other problem was there was a lack of feedback in regards to the success of creating an anchor. This was because it took 6 hours for the system to validate the creation of the anchor using machine learning with our system.
In short, we had an inefficient, non scalable solution.
Luckily, Apple’s ARKit 2 Beta had an out-the-box solution for creating outside-in point clouds (this allowed us to also create an anchor for a single object). The creation process which gamified for the user, quick, and it creates the modal instantly. We made a test app and got feedback from the store associates and they found it to be a massively more productive and enjoyable experiencel. We quickly replaced our computer vision/machine learning tech with ARKit2’s Process.