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5 Reasons why Customer Service Chatbots are the Need of the Hour

3 minutes, 59 seconds read

The rapidly advancing world suddenly came to a halt with the outbreak of the COVID-19 pandemic. If anything positive that has come out of this crisis is that it has made people more comfortable with technology. Even people from non-tech-savvy older generations are readily adopting technological advancements. Especially the customer service verticals (helpdesk and support portals) if businesses are seeking automation the most. 

Chatbots have come a long way since they were first introduced. In 2016, Facebook allowed chatbots into its Messenger platform to let businesses deliver automated customer support, e-commerce guidance, content, and interactive experiences through chatbots. From answering simple queries to scheduling appointments, chatbots have evolved into AI-driven Virtual Assistants. Given the variety of purposes they solve, chatbots are here to stay. The chatbot market is projected to reach $1.25 billion by 2025

Let’s look at some of the most pressing points which make Customer Service Chatbots so relevant in the current period.

1. The Need to Save Time, Money and Resources

The prolonged lock-downs have left a deep impact on the business cash-flows. To manage the business with limited resources and constraints on budget, this is the right time to integrate chatbots which can take up routine tasks and save bandwidth of human resources for more complex ones. These days, chatbots are available at affordable prices and even on monthly subscription models.

2. Elevate Digital Customer Experience

During the initial stage of the COVID outbreak, people struggled to get essentials. The volume of customer grievances and queries were very high. Businesses struggled to address them. AI-driven chatbots in such situations prove to be a great asset in acknowledging the problems and providing relevant solutions. 

Voice-enabled customer service chatbots give a human-like experience to customers which helps add that personal touch in a digital environment. Unlike command-based chatbots, AI-based or Machine Learning chatbots can answer ambiguous questions. Based on the responses, chatbots are learning and can provide better answers over time. NLP chatbots will take the digital CX to another level which is a crucial differentiator for businesses in these times.

AI Chatbot in Insurance Report

AI in Insurance will value at $36B by 2026. Chatbots will occupy 40% of overall deployment, predominantly within customer service roles.
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3. Build Customer Engagement and Brand Loyalty

One of the biggest pain-points of the lock-downs and social distancing is keeping the existing customers and clients engaged and building trust amongst them. Retaining brand loyalty has been challenging since customers during these times will watch out for businesses that provide the best services. Big names with a huge customer base may fail if they continue with legacy systems and traditional models even in these crucial times. 

To keep the business running, organizations will have to engage with customers. Bots can derive data through it’s AI capabilities which can be used to re-engage with customers. Especially in the e-commerce sector, bots can remind customers of the unbought items from their wish-list, suggest items to pair with the selected ones, take feedback, and so on. 

Customers remember brands that provide good services during difficult times. 

4. Dealing with the Issues of Modern Workforce

Due to lockdown, organizations faced a pressing challenge to ensure the smooth functioning of business with a remote workforce. A part of this challenge was also to ensure healthy and transparent communication with the internal workforce i.e. employees.

Especially the larger organizations and MNCs faced communication challenges with their employees across the globe. For instance, the HR department might not be able to reach all its employees. This calls for a need for chatbots that can address some of the basic queries. As Gartner predicts — by 2022, 70% of white-collar workers will interact with conversational platforms daily. The current pandemic is just fueling the adoption of helpdesk automation. 

5. Lead Generation

The business development and sales departments have a difficult road ahead. Given the economic slowdown, how to generate leads? Considering the current situation, many businesses are going digital as sales representatives cannot meet clients in-person. 

In the B2C space, cold calling and email marketing will soon become redundant. The situation requires an interaction with people through which leads can be found. Bots can provide data on the back-end while interacting with prospects and help businesses reach out to them. Thus, enabling more sales conversions. 

[Also read: Conversational Chatbots for SMEs to continue business from home]

What Does the Future Look Like for Customer Service Chatbots?

Modern customers include Millennials and Gen Z who represent 2 billion (27%) and 1.8 billion (24%) of the population respectively. They have a high affinity for self-service portals and look out for their query resolution instantly. Chatbots with integrated workflows can drive historical consumer data and accordingly suggest resolution. 

Companies like Uber and Amazon are already deploying self-service customer support, which not only releases the load from call-centers but also satisfies the growing preference for convenience. According to a recent Salesforce survey, 60% of businesses are ready to adopt self-service portals and chatbots are a crucial part of facilitating this. 

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Why Netflix Broke Itself: Was It Success Rewritten Through Platform Engineering?

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Let’s take a trip back in time—2008. Netflix was nothing like the media juggernaut it is today. Back then, they were a DVD-rental-by-mail service trying to go digital. But here’s the kicker: they hit a major pitfall. The internet was booming, and people were binge-watching shows like never before, but Netflix’s infrastructure couldn’t handle the load. Their single, massive system—what techies call a “monolith”—was creaking under pressure. Slow load times and buffering wheels plagued the experience, a nightmare for any platform or app development company trying to scale

That’s when Netflix decided to do something wild—they broke their monolith into smaller pieces. It was microservices, the tech equivalent of turning one giant pizza into bite-sized slices. Instead of one colossal system doing everything from streaming to recommendations, each piece of Netflix’s architecture became a specialist—one service handled streaming, another handled recommendations, another managed user data, and so on.

But microservices alone weren’t enough. What if one slice of pizza burns? Would the rest of the meal be ruined? Netflix wasn’t about to let a burnt crust take down the whole operation. That’s when they introduced the Circuit Breaker Pattern—just like a home electrical circuit that prevents a total blackout when one fuse blows. Their famous Hystrix tool allowed services to fail without taking down the entire platform. 

Fast-forward to today: Netflix isn’t just serving you movie marathons, it’s a digital powerhouse, an icon in platform engineering; it’s deploying new code thousands of times per day without breaking a sweat. They handle 208 million subscribers streaming over 1 billion hours of content every week. Trends in Platform engineering transformed Netflix into an application dev platform with self-service capabilities, supporting app developers and fostering a culture of continuous deployment.

Did Netflix bring order to chaos?

Netflix didn’t just solve its own problem. They blazed the trail for a movement: platform engineering. Now, every company wants a piece of that action. What Netflix did was essentially build an internal platform that developers could innovate without dealing with infrastructure headaches, a dream scenario for any application developer or app development company seeking seamless workflows.

And it’s not just for the big players like Netflix anymore. Across industries, companies are using platform engineering to create Internal Developer Platforms (IDPs)—one-stop shops for mobile application developers to create, test, and deploy apps without waiting on traditional IT. According to Gartner, 80% of organizations will adopt platform engineering by 2025 because it makes everything faster and more efficient, a game-changer for any mobile app developer or development software firm.

All anybody has to do is to make sure the tools are actually connected and working together. To make the most of it. That’s where modern trends like self-service platforms and composable architectures come in. You build, you scale, you innovate.achieving what mobile app dev and web-based development needs And all without breaking a sweat.

Source: getport.io

Is Mantra Labs Redefining Platform Engineering?

We didn’t just learn from Netflix’s playbook; we’re writing our own chapters in platform engineering. One example of this? Our work with one of India’s leading private-sector general insurance companies.

Their existing DevOps system was like Netflix’s old monolith: complex, clunky, and slowing them down. Multiple teams, diverse workflows, and a lack of standardization were crippling their ability to innovate. Worse yet, they were stuck in a ticket-driven approach, which led to reactive fixes rather than proactive growth. Observability gaps meant they were often solving the wrong problems, without any real insight into what was happening under the hood.

That’s where Mantra Labs stepped in. Mantra Labs brought in the pillars of platform engineering:

Standardization: We unified their workflows, creating a single source of truth for teams across the board.

Customization:  Our tailored platform engineering approach addressed the unique demands of their various application development teams.

Traceability: With better observability tools, they could now track their workflows, giving them real-time insights into system health and potential bottlenecks—an essential feature for web and app development and agile software development.

We didn’t just slap a band-aid on the problem; we overhauled their entire infrastructure. By centralizing infrastructure management and removing the ticket-driven chaos, we gave them a self-service platform—where teams could deploy new code without waiting in line. The results? Faster workflows, better adoption of tools, and an infrastructure ready for future growth.

But we didn’t stop there. We solved the critical observability gaps—providing real-time data that helped the insurance giant avoid potential pitfalls before they happened. With our approach, they no longer had to “hope” that things would go right. They could see it happening in real-time which is a major advantage in cross-platform mobile application development and cloud-based web hosting.

The Future of Platform Engineering: What’s Next?

As we look forward, platform engineering will continue to drive innovation, enabling companies to build scalable, resilient systems that adapt to future challenges—whether it’s AI-driven automation or self-healing platforms.

If you’re ready to make the leap into platform engineering, Mantra Labs is here to guide you. Whether you’re aiming for smoother workflows, enhanced observability, or scalable infrastructure, we’ve got the tools and expertise to get you there.

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