With disruptive technologies like artificial intelligence (AI) and machine learning (ML), banks and financial institutions are moving towards digital transformation more aggressively than ever.Gautam Rege
The word on the street is that banking and finance are moving towards digital transformation more aggressively than ever. Disruptive technologies like artificial intelligence (AI) and machine learning (ML) are the key focus areas for fintech leaders today. Developing long-term solutions at scale to simplify finance operations is sure to get developers the most brownie points!
Gartner predicts that companies offering personalisation will outperform the ones who don’t. With IoT in place, the number of connected devices in the market has only increased, and the world already has 2.5 billion smartphone users. More than 37 percent of the world is using messaging apps today, and approximately 20 million already use smart speakers. The paradigm shift from non-personalised marketing to social media is representative of new-age interactive customer experiences, and that’s the big fish to catch.
Conversational commerce is a key driver of this transformation. This also includes text-based chatbots that increase consumer engagement, especially in service-based sectors. In the last year, especially, this has grown incredibly and enabled businesses to connect to five times more the number of customers than usual. Impact? Their revenue grew by 10-20 percent. That is massive! Imagine the kind of growth opportunities out there!
The key differentiator for conversational commerce is that it allows users to converse through a platform of their choice, along with greater transparency. It is cost-effective for banks and financial institutions as a chatbot is simply a conversational algorithm embedded within a chat interface, i.e. a one-time investment. Intelligent chatbots generate a human-like conversation with consumers, provide businesses with a dynamic understanding of their needs and while at it, optimise user data in real time.
The smarter your bot becomes, the more data it collects.
Initially, Fintech chatbots focussed on customer experience but more recently, investments in contextual insights driven communication have made bots the new age contact executives, says PWC. Bots have also overtaken IVR and are helping users authenticate transactions seamlessly. In fact, chatbots can also provide CXOs with operational information and thus help them focus more on strategic business objectives, rather than remain caught up in day-to-day activities.
While optimising customer experiences is a priority, chatbots can be used to solve operational back-office problems too. Backed by advanced machine learning and natural language processing (NLP), chatbots are essentially conversational analytics platforms that initiate actions without human intervention. A well-designed chatbot reduces turn around time, provides instant information, enhances cross-selling, improvises mundane queries and has the ability to provide omnichannel experiences.
For example, if a customer wants their bank statements, all they need to do is send a message to the chatbot. The details will be furnished to them within seconds!
Based on the customer’s history and digital profile, chatbots also recommend investment options, provide market-related news and suggest ways to utilise credit card points. Proactive suggestions for the win! That’s not all. Advanced chatbots can even analyse complex legal contracts much faster than lawyers, saving a large chunk of manpower and resources in the process. Granting access to software systems, resetting passwords and handling day-to-day IT operations is also achievable. Personal banking assistants are already anticipating questions for thousands of common FAQs, reducing the need for time-consuming telephonic conversations.
An insights-driven bank complete with sales and marketing functions, and custom offerings based on global trends is the future of Fintech. Imagine an institution empowered with technology that can engage with consumers in real time, bridge gaps between existing legacy infrastructure through predictive data analytics and keep track of everything, all in one place. It will benefit not only the end consumer, but also the bank’s employees by cutting down hours of repetitive work.
For example, if a bank runs a loyalty programme and wants to find out customers with the most number of transactions, they don’t need to manually look through their records. An AI and RPA powered chatbot can easily look through the customer data and respond via text!
Scalable, high-performance open source solutions implemented through apps add to dynamic UX as well. Mobile payments, digital wallets and UPI have also seen a massive escalation in recent years, and non-banking transactions like bill payments are adding to the boost.
Soon, front office banking systems will be overtaken by mobile apps, and ticketing and back office systems will run on data analytics and blockchain. While certain processes like KYCs and internal employee management will definitely rely on the human touch, disruptive tech is here to stay. Conversational commerce may be in its infancy stage right now, but it holds the power to build strong business-consumer relationships.
The next era of Fintech will transform banks of today into cognitive financial institutions of tomorrow.
The article was previously published here.
(Disclaimer: The views and opinions expressed in this article are those of the author and do not necessarily reflect the views of YourStory.)