True Fit, the Woburn-based retail software company that aims to make your online purchases smarter, has hired a new C-suite executive. Christopher Moore, a former MIT astrophysicist and veteran data science leader, has joined the True Fit team as its chief analytics officer, announced the company Tuesday.

True Fit uses machine learning technology to solve one of the biggest problems of online shopping: figuring out if something will fit before buying it. Founded in 2007 by Babson College graduates, True Fit takes a user’s existing closet, as well as brand data, into consideration before using their patented algorithms to determine how an item or size will fit a certain user.

With Moore on board, the company plans to advance these algorithms and evolve the company’s Confidence Engine, the trademarked system that provides personalized recommendations to online consumers. Moore will also be leading the data science and analytics teams at True Fit and advancing analytics dashboards for brand partners.

Moore shared in a statement:

It’s great to join a platform that is already being used by an enthusiastic network of over a thousand top brands, leading retailers, and millions of consumers. That’s a lot of really great data to work with. And it’s already driving impressive results in market, benefiting consumers, brands, and retailers alike.

In addition to driving those results, True Fit has also been raising money. In June, the company announced it raised $10.59 million in equity funding from a total of 23 investors.

With these advancements, True Fit can better tailor the way we shop for online clothing. Currently, the software company has worked with and gathered data from 1,000 clothing and footwear brands; Nordstrom, Macy’s and Gilt are a few that have the True Fit tool installed in their mobile platforms. And after getting to know its users, the True Fit algorithms can derive what products and sizes will best suit a customer, like a virtual fitting.

Screengrab via True Fit