Agent Q Is A Digital Assistant That’s Targeted On Serving to You Store On-line
It looks like everybody needs to construct a digital assistant that you simply talk with by way of textual content message. Within the case of New York Metropolis startup Agent Q, it’s an assistant that helps you store on-line.
Co-founders stated Rémi Cossart and Pramod Thammaiah pitch their service as a mixture of Magic and Shopper Stories. Customers ought to be capable of textual content Agent Q with the small print of they’re looking for, then the startup will present a suggestion and, if requested, even make the acquisition for them.
For instance, when Cossart and Thammaiah stopped by the TechCrunch workplace earlier than the launch, they began a chat with Agent Q, saying that they needed to buy a motorcycle pump. Perhaps a minute later, it got here again with an outline of a advisable pump and requested in the event that they needed to purchase it.
Behind the scenes, Cossart stated the advice was coming from “a human augmented by AI.” So there’s a group of individuals (particularly AgentQ staff) responding to your textual content messages, however they’re profiting from the info the corporate has aggregated throughout the online (together with skilled evaluations, buyer evaluations and extra) and a few prewritten solutions for fashionable queries.
Within the demo, I used to be additionally struck by how little again-and-forth there was. What about getting all of the specs of what you’re on the lookout for and evaluating totally different choices? Not surprisingly, the diploma of interplay will range relying on the product. In some instances, AgentQ wants extra particulars, however bike pumps (as Thammaiah put it) are “all roughly the identical” — so why not skip forward and offer you a strong suggestion from the beginning?
In fact, in case you don’t like AgentQ’s suggestion, you’ll be able to all the time refine your search by replying, “I would like one thing cheaper” or no matter. And over time, the service will study extra about your preferences.
So why use a extra narrowly targeted textual content assistant, fairly than one thing that may accomplish a broader set of duties, like Magic or Fb’s M? Cossart argued that by limiting their product to purchasing, they will ship a greater consumer expertise: “By specializing and staying targeted, we could be actually good at serving to customers store quite than being mediocre at doing a variety of issues like discovering a bar, meals ordering, helicopter reserving, and so on.”
“Our view is that this it’s all about consumer belief and focus,” he stated. “The best way to get consumer belief is to offer extra than simply the ‘I’m feeling fortunate’ outcome. The perfect consumer expertise is giving customers not solely a curated selection but in addition a transparent rationalization as to why it’s the only option.”
Thammaiah has some expertise with on-line buying, having labored as a product supervisor on Google Buying. He and Cossart (previously a senior analyst at Cornerstone Analysis) stated they’ve been associates since fourth grade.
Agent Q is obtainable free of charge. Thammaiah stated the corporate is contemplating a number of totally different choices to generate profits, however the hot button is to keep away from something that might hamper the consumer expertise or intrude with the objectivity of the suggestions.
The startup is at present accepting signal-ups for the waitlist. The primary one hundred TechCrunch readers who register right here will get to leap the road.
Oh, and in case you have been questioning, Cossart stated that Q doesn’t stand for something, a minimum of not formally. Perhaps they’re open to recommendations.
Featured Picture: AgentQ