How True Fit's Collaboration with Google Cloud is Unlocking Retailer Growth

True Fit Featured in Google Cloud Publication on how data is inspiring growth

True Fit has been working closely with Google this year and we are proud to relay that Google Cloud Services such as BigQuery and Analytics Hub have become vital to how True Fit optimizes the entire lifecycle of data, and our ability to share analytics with our valued retail partners. 

Recently, True Fit was featured in Google’s‘ Built with BigQuery’ series highlighting the work and collaboration our teams are facilitating to change the way people shop for apparel and footwear, fueling growth for retailers and brands.

 

True Fit CTO Raj Chandrasekaran explains: “True Fit is in a unique position where we help shoppers find the right sizes of apparel and footwear through near real time, adaptable ML models thereby rendering a great shopping experience while also enabling retailers with higher conversion, revenue potential and more importantly access to actionable key business metrics. Our ability to process volumes of data, adapt our core ML models, reduce complex & slower ecosystems, exchange data easily with our customers etc, have been propelled multi-fold via BigQuery and Analytics Hub”, 

"Our ability to process volumes of data, adapt our core ML models, reduce complex & slower ecosystems, exchange data easily with our customers etc, have been propelled multi-fold via BigQuery and Analytics Hub”

- Raj Chandrasekaran   |  CTO at True Fit

 

BigQuery is a fully managed, serverless and limitless scale data warehousing solution with tighter integration with several Google Cloud products. Analytics Hub, powered by BigQuery, allows easy creation of data exchanges for producers and simplifies the discovery and consumption of the data for the consumers. Data shared via the exchanges can further be enriched with more datasets available in the Analytics Hub marketplace.

 

Leveraging BigQuery enables True Fit to compile data packages for our retail partners in real time.  The article details how this allows partners to personalize their campaigns:

 

  • Find the True Fit shoppers of a desired category near real-time who've been browsing extra specific products in the last couple weeks
  • Enhance their understanding of their shopper demographic data and category affinities
  • Retrieve size and fit recommendations for specific in-stock products for a provided set of shoppers or have True Fit determine what the ideal set of shoppers for those products would be
  • Match their in-stock, limited run styles and sizes to applicable True Fit shoppers
  • Enhance emails and on-site triggers based on products the shopper has recently viewed or purchased across the True Fit network
Read the full article featuring True Fit's Sr. Software Architect, Shaun Haerinck here

Are you a Retailers interested in utilizing such data packages offered by True Fit? Get in touch with us today to learn more!