Spruce Up wants to do for home decor what Pandora did for music

Home decor startup Spruce Up has launched an updated ecommerce platform that leverages machine learning to recommend goods to homeowners.

Using what it touts as a proprietary “style genome” trained by professional designers, Spruce Up is looking to automate a process that would typically require some back-and-forth interactions between the customer and a human stylist.

By way of a quick recap, Spruce Up is a spin out of Madrona Venture Labs, a startup incubator launched by VC firm Madrona Venture Group back in 2014. To date, Spruce Up has raised $ 4.5 million in funding from investors including Madrona, Two Sigma Ventures, Female Founders Fund, Alumni Ventures Group, and Peterson Ventures. The startup was officially founded out of Seattle in 2017, and launched its first beta “proof-of-concept” platform last October.

In its original guise, Spruce Up was a stylist-curated shopping service — a “human-in-the-middle” AI model, as the company puts it, with interior designers curating a shuffle-able mini boutique at a cost of $ 25. It was a little like what Stitchfix has been doing in the fashion realm, combining algorithms with human curation. Fast forward to November 2019, and Spruce Up is largely removing the human element and going full-throttle on a fully AI-powered approach instead, though customers can request its more manual styling service if they prefer.

“Our AI is trained by our expert designers applying the knowledge of how interior designers recommend products, and create sets to pull a look completely together,” Spruce Up cofounder and CEO Mia Lewin told VentureBeat. “We started developing our AI over a year ago based on our early beta site.”

Style quiz

As before, Spruce Up runs through a “thumbs up, thumbs down” style quiz spanning myriad products, colors, and designs, culminating in a “style profile.” The user can continue to fine-tune the recommendations through the “style tuner” to personalize the recommendations even more.

Above: Spruce Up: Personalized quiz

In this example, the user apparently enjoys “urban loft, relaxed rustic, and mood eclectic interiors” and “exposed beams and concrete flooring.”

It’s also worth noting here that the recommended goods are pretty much luxury items, so they’re not cheap. Spruce Up takes a cut of the sales from the retailer, though all the sales are completed entirely on the Spruce Up platform.

Above: Spruce Up: Luxury goods

On the surface, it’s not entirely clear where the data-crunching or “machine learning” is taking place, but behind the scenes Spruce Up said that the quiz is designed around its own data science and proprietary taxonomy incorporating 60 high-signal data points covering style, colors, materials, and design aesthetics. Additionally, the responses to the quiz are matched to its designer taxonomy that spans more than 1.7 trillion possible product combinations in its catalog — this is what it calls the “style genome.”

“Pandora for home-shopping”

Similar to recommendation systems that exist in other online services such as music-streaming, perhaps best evidenced by Pandora’s music genome project or more recently Spotify’s tailored playlist efforts, a continuous feedback loop improves Spruce Up’s machine learning-powered recommendations not only for the individual, but for other customers who share similar style tastes.

“Spruce Up is doing for home-shopping what Pandora did for music and Netflix did for movies,” said Lewin.

For example, if one customer ends up making several purchases based on the recommendations of Spruce Up, the platform may recommend some of those same products to people with a similar style profile.

“We’ve focused on building the training data that powers our style genome through our catalog annotation, stylist recommendations with customer feedback mechanism, and our style tuner that launched this summer,” Lewin added. “In preparation for the launch of our new personalized shopping platform, we’ve built a corpus of data spanning over 100 million proprietary style aesthetics data points.”

The global home decor market was pegged as a $ 663 billion industry in 2018, a figure that bodes well for the slew of tech-focused interior design startups that have come to the fore in recent times. Modsy, for example, enables its users to create 3D renderings of their home so they can visualize it with various kinds of furniture — the San Francisco-based startup recently raised another $ 37 million in funding. And then there is virtual interior design platform Havenly, which closed a fresh $ 32 million funding round just a few weeks back.

Automation is infiltrating just about every industry, and it seems from recent investment activity — and the fact that Spruce Up is now doubling down on its automated home-styling efforts — that interior design is ripe for disruption.

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Marketing – VentureBeat

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