Intercom provides a lot of value to us. From live chat to email marketing and even helping us to create support documentation, Intercom handles a lot of key moving parts that are essential to keeping customers happy.
Based on our record, OpenCV should be more popular than Intercom. It has been mentiond 51 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.
Use chatbots to automate customer service: Chatbots use natural language processing to communicate with customers and answer their questions. By integrating chatbots into your affiliate marketing strategy, you can automate customer service and increase engagement with potential customers. This can lead to more sales and higher commissions. (Crisp, Intercom). Source: over 1 year ago
I am trying to create an application that will work on a customer's website. Much like tawk.to or intercom.com. Source: almost 2 years ago
My way of doing marketing starts with figuring out what my overall project will (or will not) be. In this case, I looked at the vendors like Zendesk, Intercom, Freshdesk, or Help Scout. They all have whizbang features such as live-chat, collaboration stuffs, automations and workflows. They bill per contact and addons. I’d emphasize a straightforward, fuss-free angle instead. Source: about 2 years ago
I wanted to know the best practices of developing a widget. So I went through the popular implementations of it. I liked Intercom's widget very much. It is written in React. I analyzed how it works. The minimal javascript is loaded async on the webpage. It is injecting an iframe with id intercom-frame. That iframe has a script in it's head with a source URl. Obviously it is React bundle. Source: about 2 years ago
If you're looking at it to guide new users through onboarding, Intercom is pretty good. Source: about 2 years ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 8 hours ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 6 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 10 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 10 months ago
Zendesk - Zendesk is a beautiful, lightweight help-desk solution.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Freshdesk - Freshdesk is a cloud-based customer support software that lets you support customers through traditional channels like phone and email, social channels like Facebook and Twitter, and your own branded community
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Drift - A messaging app that helps you grow your business.
NumPy - NumPy is the fundamental package for scientific computing with Python