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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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Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

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