Williams-Sonoma Says Olive Users Convert at 3× the Normal Rate
Company-reported results tie its shopping assistants to higher-value customer interactions, but the disclosed conversion figures do not isolate the assistants’ causal effect.
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3 key pointsWilliams-Sonoma’s second-quarter update provides an early commercial read on in-site AI assistants: Olive engagement rose 700% and associated revenue 620% since January, while engaged shoppers converted at three times the company’s normal rate. The figures come from the retailer and do not establish that Olive caused the lift. Pottery Barn’s Otto shows a different outcome, resolving over 70% of early interactions...
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Williams-Sonoma reported $1.96 billion in Q2 net revenue, up 6.7% year over year.
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Olive-associated revenue rose 620% since January; engagement increased 700%.
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Olive’s conversion comparison is company-reported and does not isolate causal impact.
Retail AI assistants are meant to move beyond answering product questions and toward revenue or completed service. Williams-Sonoma says Olive users convert at three times the normal rate, while revenue tied to the shopping assistant has risen 620% since January. The figures are a strong company-reported sales signal, but they do not isolate Olive’s causal effect on conversion.
Sameer Hassan, Williams-Sonoma’s chief technology and digital officer, gave the figures on the company’s second-quarter earnings call. The company also said engagement with Olive increased 700% since January. Separately, it said personalized ecommerce visits generate roughly nine times the revenue of an average visit, compared with roughly two times in the prior year.
Sales association versus service resolution
Olive’s conversion figure measures purchasing among shoppers who engage with the assistant against a normal rate. Pottery Barn’s newer Otto assistant is being measured differently: more than 70% of its early interactions were resolved without a human handoff, according to Hassan. The two results show different outcomes—purchasing and automated service resolution—rather than directly comparable performance measures.
What Otto is designed to do
- Coordinate furnishings across a room, including matching items such as a sofa and rug.
- Account for details including rug sizing and outdoor-material durability.
- Book a design consultation or route a shopper to a designer when needed.
A retailer result within a broader referral pattern
The assistant metrics arrived with second-quarter net revenue of $1.96 billion, up 6.7% year over year. Adobe has reported a related, but distinct, result: shoppers arriving at retail sites through AI referrals convert 54% better than shoppers arriving from other sources. AI referrals bring people to a retailer, while Olive and Otto operate within the retailer’s own shopping experience.
Sources
- pymnts.comWilliams-Sonoma’s AI Assistant Triples Shopper Purchases | PYMNTS.com