Release Notes

Release Notes


We are on a mission to make size selection confusion a thing of the past. There is no reason your shoppers should have to fidget with tape measures and a size table or evaluate their body shape vs. that of the clothing model. We developed Fit Advisor to completely remove this confusion so shoppers can exclusively focus on your brand. We will never stop innovating towards that cause.

We are continually taking in feedback from our customers, prospects and end-users, then integrating that feedback into the WAIR product roadmap. In the release notes below you will see the evolution of the best size and fit recommendation solution available today.


February 2021 | Fit Advisor 3.6.0

Released on Feb 3rd, 2021

We spent the better part of January collecting customer and user feedback to create a more compelling Fit Advisor experience. Designed to delight your shoppers and continually improve your core performance metrics.

Intuitive fit preference

We cleaned up the UX for the Fit Advisor recommendation screen to allow shoppers to navigate to alternate sizes based on their unique fit preference.

We received consistent feedback that a “Fit Preference” screen was confusing and therefore causing friction in the shopper journey.  By removing the “Fit Preference” screen and allowing shoppers to see how alternative sizes fit their bodies, we provide confidence in size selection to include fit preference.

Optimized mobile experience

We’ve created optimized input forms and recommendation screens for both mobile and desktop shopping experiences.  The desktop flow takes advantage of the keyboard, where the mobile flow is much more intuitive.  Here are the improvements in the new version:

  • Improved layout for recommendation results on small screens
  • No more mobile keyboard. Touch-screen friendly sliders for input data.
  • Less web data used (smaller bundle and asset files)

Faster load times

We want your shoppers to get their size recommendations with the least friction possible and we know performance matters. 

  • Optimized backend to load Find my Fit button and Inline recommendation placements noticeably faster
  • Improved load times for UI for an overall faster flow to get a recommendation

January 2021 | Fit Advisor 3.5.0

Released on Jan 13th, 2020

Overview and Main Purpose

  1. Enable a mobile first experience to further increase completion percentage
  2. Reduce the onboarding time for new customers to days, not weeks
  3. Reduce the time needed for current customers to launch new products with our service

What’s New

  • End User Experience:
    • Introduction Screen is now present, which provides an overview of the experience for the shopper.
    • Height, weight, and age inputs are all slide enabled vs. text entry fields. This allows shoppers to complete without the need for a popup keyboard
    • The recommendation screen clearly tells the shopper the best fitting size
      • It also lets the shopper flip to alternative sizes to choose the best fitting size as it aligns with their fit preferences
    • Improved styling on the inline recommendations
  • Onboarding Experience:
    • Our customers can now integrate and validate size recommendations at the same time they are integrating the Fit Advisor plugin into their e-commerce store
      • This change is anticipated to shorten the onboarding process from a few weeks to 1-2 days for most customers and increase the size recommendation accuracy even further
  • Performance Improvements:
    • Improved load time performance on mobile and desktop

December 2020 | Fit Advisor 3.4.0

Released on Dec 3rd, 2020

fit-advisor-recommendation-multi-option-zoom-shadow

Overview and Main Purpose

  1. Organize admin software to allow for multi-vendor retailers and enterprise customers
  2. Provide better customer dashboard with advanced analytics
    1. Evaluate the success of the integration
    2. Learn about usage patterns
    3. Learn about body shapes of Fit Advisor users on customer store
  3. Enable multi-variant size recommendation

What’s New

  • Better backend management of large product catalogs
    • Allows us to ensure proper mapping of size specification to product
  • Better backend management of multi-vendor product catalogs
    • Allows WAIR to work with multi-vendor retailers
  • Optimized onboarding to reduce customer effort and reduce overall onboarding time
  • New multi-variant size recommendation
    • Many brands allow for multiple variants during size selection like waist and inseam or size and sleeve length. This new feature allows the WAIR Fit Advisor to recommend the best fitting size in multiple variants to fully complete the size recommendation experience.

November 2020 | Fit Advisor 3.2.0

Released on Nov 4th, 2020

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What’s New

  • Monthly reports with contextual control data
  • Demographic reports
  • [Beta] Multi-option recommendations and revamped results view

Improvements

  • Additional refinements to Usage report
  • Fix plugin customization preview
  • Adjust onboarding steps for intuitive flow

October 2020 | Fit Advisor 3.1.0

Released on Oct 8th, 2020

wair-usage-dashboard-outerglow

What’s New

  • Rebrand BodyBlock Recommend to WAIR Fit Advisor
  • Fit Advisor usage reporting view

Improvements

  • More intuitive onboarding flow

September 2020 | Fit Advisor 3.0.0

Released on Sep 2nd, 2020

Overview and Main Purpose

  1. Enable Inline size recommendations for higher conversions
  2. Allow for advanced UX configuration for more customization
  3. Launch robust analytics

What’s New

  • Inline Recommendations
    • The BodyBlock Recommend technology predicts the dimensions of the shopper’s body and then recommends the size of any product on the customer’s e-commerce store. Prior to this release, the shopper used to have to open the plugin to review his/her sizes, which was not idea. This release allowed BodyBlock to always show the shopper their size right from the product page, without forcing the shopper to launch the plugin each time.
  • Advanced UX Configuration
    • Each customer has access to their administration dashboard. This allows them to make real time changes to the look and feel as well as the call to action (CTA) of the BodyBlock Recommend plugin on their e-commerce store.
  • Robust Analytics
    • Prior to this, we tracked the conversion rate of shoppers that used the widget vs. those that don’t. We didn’t like this as a conversion metric because those that click a “Find My Fit” button have more intent to purchase than those that do not… so the data is less meaningful. We changed the tracking to create two cohorts. The “Control” cohort never sees the “Find My Fit” button, while the “Live” Cohort does. We then track the conversion differences between the two cohorts to more clearly understand the effect that the BodyBlock Recommend plugin has on site conversion. Good news… we see a 25% increase in conversion percentage of the Live cohort vs. the Control. 😉

August 2020 | Fit Advisor 2.10.0

Released on Aug 14th, 2020

What’s New

  • Analytics Dashboard. Track engagement and order conversion metrics for the Recommend widget.

Improvements

  • Fixes on results screen for unwanted text wrapping
  • Streamlined Checkout script to reduce request load

July 2020 | Fit Advisor 2.9.0

Released on July 22, 2020

What’s New

  • Redesigned recommendation screen. More intuitive size recommendations, happier shoppers, higher conversion.

Improvements

  • Optimized script performance by reducing number of scripts loaded for both widget and checkout scripts
  • Improve brand user id configuration. Use your own user identifier for better traceability of recommendations back to your shoppers

June 2020 | Fit Advisor 2.8.0

Released on July 1, 2020

BigCommerce-logo-dark

What’s New

  • BigCommerce integration. Easy setup with same Recommend experience for shoppers.

Improvements

  • Better hooks for integrating custom frontends / single page apps

May 2020 | Fit Advisor 2.7.0

Released on June 10th, 2020

What’s New

  • Omni-channel recommendations. Shoppers complete the recommendation flow once and receive recommendations across devices.
  • Enable “Add to Cart” button directly from recommendation page

March 2020 | Fit Advisor 2.0.0

Released on March 10th, 2020

Overview and Main Purpose

  1. Replace actual 3D scanned body segments with size appropriate illustrations
  2. Allows shopper to set preference per product
  3. Allows shopper to understand how the product will fit his / her body

What’s New

  • We wanted a more inviting quiz experience and to show less actual 3D body data, so transitioned to illustrations. Prior to this transition, we ensured that the illustrations provided as much, if not more, accuracy than using the 3D body segments as inputs.
  • We wanted to integrate fit preference into the process to ensure that we took the preference of the consumer into account
  • We created a simple slider to show users how a product would fit their bodies.
    • IE. right side of the slider, a bit snug; left side of the slider, a bit loose; middle of the slider, as designer intended

Fit Advisor – Beta

WAIR Fit Advisor Beta
Virtual Fitting Room beta version

What’s New

  1. Integrate alpha version into a product plugin
    • Shoppers enter height, weight, age, gender
  2. Onboard beta customer to ingest clothing sizing specifications
  3. Deploy product on beta site to evaluate:
    • End-user use and completion rate
    • End-user conversion and size selection confidence

Fit Advisor – Alpha

What’s New

  • Develop quiz based body prediction technology
  • Have consumers that took real 3D body scans run through Fit Prediction quiz
    • Shoppers enter height, weight, age, gender.
    • Shopper shown body segments of users with similar height, weight, age, gender to select from
  • Develop machine learning layer to predict the body dimensions of the end-user
  • Compare the end-user body measurement predictions with the body measurements captured from their 3D body scan to evaluate accuracy
    • Accuracy of most primary measurements used for clothing fitting of < 1 inch: Success
  • Also test for willingness to complete quiz
    • Completion rates neared 90%: Success