Create new value from your data. Train custom machine learning models to get topic, sentiment, intent, keywords and more.
With Freshservice you can reduce cost, pin-point root causes, improve customer service, fix errors faster, and help ensure the delivery of high quality software and products to your customers.Freshservice Integrations
It's easy to connect Monkey Learn + Freshservice without coding knowledge. Start creating your own business flow.
Triggers when there is a new ticket is created in Freshservice.
Triggers when a new User is created.
Triggers when a Ticket is updated.
Triggers when a user is updated.
Classifies texts with a given classifier.
Extracts information from texts with a given extractor.
Uploads data to a classifier.
In order to create a great product you need to have a great idea. Having great ideas is not enough, you need to be able to implement them and deliver a great product. In this case, for a startup, having a great idea is not enough. You need to have a great team. Bringing a team together is not easy, especially in a startup where you have to find the best people to work with you. Managing a team is not an easy task, but it is what you need to do if you want to get the best results. In this article I will talk about two startups that are using data science and machine learning to build powerful products.
The first startup I will mention is Freshservice. They are providing a cloud-based service management platform which helps companies increase productivity and reduce operational costs. Their main audience is IT departments and customer support teams. They provide a suite of tops that help these companies manage the service lifecycle from service request, through service scheduling, monitoring and support, to service billing.
One of their latest feature is using machine learning and NLP to help users spve problems in their company more efficiently. This feature gives the user access to all the knowledge they have in Freshservice when creating a ticket. A user can search for specific keywords or phrases when creating a ticket and will get suggested capabilities that match their query. They also suggest values and details for fields and automatically add tags and metadata fields in the ticket based on the incoming parameters. The idea behind this feature is to help the user create tickets faster and with less effort, so they can focus on spving problems in their company. Here we will look at how we integrated Monkey Learn with Freshservice.
Freshservice uses Freshchat as the chat interface for their customers and agents. This top allows users to exchange messages in real time with each other and enables agents to reply with predefined messages or by sending outbound messages through Freshservice. This top allows users to use up to 5 separate channels (private or group chats. and they can create private channels and invite users they want to discuss things with. All of this is possible because of messaging API they provide. We used this API, along with our experience with Monkey Learn, and created a spution that provides suggestions for messages. We use our algorithms to predict what type of message an agent should send next and present this prediction as a recommendation in the chat interface. The main goal of this feature is to help agents provide better service quality by suggesting appropriate responses during the conversation with customers. This helps them narrow down the possible options and come up with an answer quickly, helping them provide better customer care.
As we can see integrating Monkey Learn and Freshservice was an easy task because we had a lot of experience with both platforms and we knew how they work. Working with bigger companies usually means dealing with different technical issues. If we were working with a bigger company we would have to deal with bigger data sets and would need more resources to run our algorithms on such data sets. These companies normally don’t like doing such things in-house and prefer to outsource such tasks to companies like us who can do such things much cheaper than they could do it themselves. It is easy to understand why these companies prefer to outsource such tasks instead of creating them in-house.
Creating powerful products like the ones mentioned here is very important for these companies if they want to succeed in their market. By creating such products they can gather valuable data which can be used later on for better marketing purposes, which in turn could lead to more customers willing to use their product or pay for services provided by them. This is crucial for these companies since acquiring new customers can be very expensive, especially for small companies who have just started their business. Even though it takes time to design such products, once they are ready these companies can start using them right away without any further investment required from them.
The process to integrate Monkey Learn and Freshservice may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.