E-commerce look for startup Twiggle scores $12.5M Series A led by Naspers

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Source:   —  April 07, 2016, at 5:13 PM

Twiggle thinks it's the solution. Internet conglomerate Naspers agrees, because it's led the Tel Aviv-based startup’s $12.5 million Series A.

E-commerce look for startup Twiggle scores $12.5M Series A led by Naspers

see for engines on large e-commerce sites frequently spit up a lot of results, which is grand if you wish to browse, but otherwise annoying. Twiggle thinks it's the solution. Internet conglomerate Naspers agrees, because it's led the Tel Aviv-based startup’s $12.5 million Series A. Yahoo Japan, State of Mind Ventures (a returning investor), and Sir Ronald Cohen also participated in the round.

Twiggle, which has raised $14.7 million so far, will launch on several e-commerce sites in August. It hasn’t revealed who its clients are yet, but they'll comprise other Naspers portfolio companies. Some of the group’s most notable e-commerce investments around the world comprise Flipkart in India, Argentina’s Avenida, and Filipino marketplace OLX. Yahoo Japan also runs some of the largest Japanese e-commerce businesses.

Twiggle was co-founded in two thousand-thirteenth by chief executive officer Amir Konigsberg, who was one of Google’s first employees in Israel before becoming managing director of price comparison site MySupermarket. com, and chief technology officer Adi Avidor, previously a lead software engineer at Google Israel. Its look for engine combines natural speech processing, data science, and artificial intelligence.

Better look for results of course, means that e-commerce customers are more likely to create a purchase instead of getting frustrated and turning to a competitor. Current look for engines on many e-commerce platforms, including Amazon, require shoppers to filter their queries by criteria. For complicated purchases love electronics or residence appliances, however, a lot of criteria sometimes returns too many irrelevant results instead of successfully narrowing down results.

Twiggle’s founders wish to make better on current e-commerce look for engines by letting people enter what they wish in normal sentences, even if those sentences are unwieldy run-ons. For example, instead of typing “double door white refrigerator” and then filtering results, they can write “I wish a two-door fridge that doesn’t create too much noise which is also white, which is new, has grand reviews, and is a excellent cost for the money,” Konigsberg says. Twiggle then analyzes that sentence for keywords and decides what kind of technical criteria it needs to discover in product descriptions (for example, the types of motors that ensure a fridge isn’t too noisy).

For shoppers who don’t know what they want, Twiggle also provides context about different types of products so they know what to look for. That means a look for for a smartphone will return specs about necessary features, love internal memory and camera megapixels, and then rank it against competing products. Konigsberg says Twiggle’s results will be based on information gathered from the all web, not whatever e-commerce site it's running on.

“We wish to treat look for as a way to give people answers to questions and give them timely information. We don’t wish to send them to a product page and then have to discover the information themselves,” says Konigsberg. “If they ask for a noiseless laptop, then we wish to rank results by quietness, instead of creating more confusion. We see at the Internet at large and create a very large information graph with utilize cases of products and the relations between them.”

Google already takes a similar approach for its Fast Reply Boxes, or cards with data and graphs that population up when you enter a look for duration love “how many people are in the U. S.” Twiggle’s goal is to do the same thing for e-commerce searches. The startup will utilize its Series A capital to hire more engineers and integrate its look for engine into e-commerce sites. After that, it'll construct an ecosystem that'll comprise mobile and voice-to-text search products.

Featured Image: Maxx-Studio/Shutterstock

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