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Chattermill raises £600Ok to use ‘deep learning’ to help companies make sense of customer feedback

chattermill raises 600k to use deep learning to help companies make sense of customer feedback - Chattermill raises £600Ok to use ‘deep learning’ to help companies make sense of customer feedback

Chattermill, a London-based startup that makes use of ‘deep learning’ to help companies make higher sense of customer feedback, has raised £600,000 in seed investment. Backing comes from Entrepreneur First — Chattermill is an alumni of the corporate builder — and Avonmore Developments, together with a bunch of angel traders, together with Jeff Kelisky, CEO of Seedrs.

Founded in 2015 by way of pals Mikhail Dubov and Dmitry Isupov, Chattermill is one of a bunch of startups which are tackling the issue of how to sift thru and reply to customer feedback and throughout a couple of channels. With that knowledge rising exponentially, the corporate is using deep studying to help do the task in, arguably, a a lot more scalable and probably extra correct approach.

“We help companies understand and improve their customer experience: we give companies insight that helps them craft better products and services,” Dubov, Chattermill’s CEO, tells me. “Companies with best in class customer experience ultimately have more loyal customers and find it easier acquiring them in the first place. Customer feedback is the best data to understand customer experience and while most companies have a lot of customer feedback, few have the tools to extract insight from it”.

He says the startup’s resolution is to practice the most recent deep studying ways to analyse customer feedback in some way this is adapted for each and every corporate. “In addition to this we provide an analytics dashboard and automated alerts that make it very easy to take action on the insight across the business,” he says.

Specifically, Chattermill collates all feedback channels in a single position after which “builds a customised deep learning model to extract easily actionable insight”. It can then measure sentiment to see how shoppers are feeling about each and every phase of the full revel in, from design of an app down to velocity of supply and angle of customer care brokers.

In phrases of the way it collects customer feedback knowledge within the first position, Chattermill integrates many usual gear used for soliciting and tracking customer feedback and sentiment, corresponding to SurveyMonkey, Zendesk, TypeForm or Salesforce, as well as to aggregating feedback from Net Promoter Score surveys, evaluations, enhance tickets and social media.

The ten-person Chattermill staff is these days operating with shoppers throughout sectors that come with, fintech, e-commerce, go back and forth and gaming. “We work with consumer businesses that have a large customer base across industries,” says Dubov. “Notable examples are Transferwise, HelloFresh and Just Eat. Within these companies we work with the product, customer service and customer experience teams”.

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