Teams | Collaboration | Customer Service | Project Management

Elsevier Technologies is a global information analytics business that helps scientists and clinicians to find new answers, reshape human knowledge, and tackle the most urgent social crises. For 140 years, they have partnered with the research world to curate and verify scientific knowledge. As one of the world’s foremost providers of scientific, technical, and medical information, Elsevier publishes more than 470,000 articles annually in over 2,500 journals.

Texting is one of the most used forms of communication. In the United States alone, 5.5 billion text messages are sent daily. So maybe it’s not so much of a surprise that your customers want to be able to text your business when they need support. Few things are more frustrating than when you’re trying to solve a problem and just end up sitting on hold. And texting offers an alternative for you and your customers.

Sometime last year, we found the opportunity to optimize one of our critical API endpoints that was served using Ruby on Rails. This led to a series of investigations before we identified the right long-term solution for our particular use case. It required us not only to leverage a new JSON serializer, but also challenged us to build efficient caching and deployment strategies to go with it. This is the tale of how we embarked on that compelling journey and what we learned as a result.

Technician scheduling is one of the most crucial factors in the success of any business involving offsite technicians. Despite the fact that it has nothing to do with the quality of the technician’s work on a machine when done right, effective scheduling can drive revenue. Done poorly, scheduling can cause your whole organization to come to a standstill.

Storing and processing of large volumes of transactional data in a real-time application is always a challenge in software development. Choosing the right database is always crucial since decisions taken in that initial phase might look fine but affect the application’s performance as the feature adoption and customer base grows. This blog is about one such problem we faced and how we solved it.

What’s common between the customer service offered by a hotel, a retailer, and a bank these days? Chatbots! Chatbots today are being deployed across industries to assist customers (customer service), or engage with customers (sales and marketing), or do both. However, there are a few chatbot applications that are unique to each industry. In this blog, we explore the different applications of chatbots in six key industries, along with real-life examples.

Perseverance. Adversity. Defeat. Triumph. Freshworks has covered the pitch with an extraordinary decade in SaaS. Ten years strong, we buried the goal into the back of the net with big league wins­­—we were ranked number 16 on 2020 Forbes Cloud 100 list, recognized in the 2020 Gartner Magic Quadrant for IT Service Management Tools, named a ‘visionary’ in Gartner’s Magic Quadrant for CRM customer engagement center, to name a few.

In the world of AI – chatbots, and virtual assistants are two popular words that are used interchangeably too often even though they mean two different things. Sometimes, you might even hear the term ‘virtual assistant chatbot’ being used in place of a chatbot or a virtual assistant. In this blog, we take a look at the differences between a chatbot, a virtual assistant, and a virtual assistant chatbot, and give you some guidelines on which solution to use, and when.