Companies have to deal with the increasing number of communications' channel that they have to handle in order to support their customers, furthermore, speed has become a key factor in generating a high satisfaction degree. Crisp has been built for SMB's in order to help them better scale their customers' relationship through a wide range of features:
Crisp offer the following features: * Shared Inbox * CRM * Live Chat * Knowledge Base * Chatbot * Drip campaigns (Email & InApp)
Used by more than 100 000 companies, Crisp offers a support 24/24 5 days a week to help every customer to scale their own customers relationship.
Based on our record, FuzzyWuzzy should be more popular than Crisp Chat. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If I were to land on this page I would not trust the site. You can think about adding a live chat (Crisp) or an AI live chat (Wavechat) to boost your visitors trust in your site. Source: 12 months ago
Crisp - Live chat + help desk articles. Really lightweight and have a generous free plan. Source: about 1 year ago
I saw https://crisp.chat/en/ grow up in front of my eyes. Haha. The founder is very nice and now they have such a nice, large company. Source: about 1 year ago
My SaaS is more pro-consumer/b-to-c so the closest thing I use to a CRM is https://crisp.chat/en/ i. Source: over 1 year ago
If you want to go with the profit model, try these steps 1. Reduce costs with automation (Bardeen) and freelancers (Upwork) 2. Increase site conversion with chatbots (Crisp) and email capture (Popupsmart) 3. Increase LTV with better feature adoption (Loopd in). Source: almost 2 years ago
Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago
Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: almost 2 years ago
You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago
To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: almost 3 years ago
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