Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(8)

Customer Journey(17)

Design(43)

Solar Industry(8)

User Experience(66)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(29)

Technology Modernization(7)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(38)

Insurtech(66)

Product Innovation(57)

Solutions(22)

E-health(12)

HealthTech(24)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(143)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(19)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

Elevating Customer Experience Through Data: A Strategic Guide

Customer experience (CX) has emerged as a pivotal differentiator for businesses across industries. With the proliferation of digital touchpoints and the increasing expectations of consumers, companies are constantly seeking ways to enhance and personalize the customer journey. Amidst this evolving landscape, data has surfaced as the linchpin, offering unparalleled insights into customer behaviors, preferences, and pain points. By harnessing the power of data, businesses can craft experiences that not only meet but exceed customer expectations, fostering loyalty and driving growth.

According to a Forrester report, companies that lead in customer experience outperform laggards by nearly 80%

Data-Driven Paradigm in Customer Experience

The shift towards a data-driven approach in customer experience is not merely a trend but a necessity. In an era where customers interact with brands across multiple channels – be it websites, mobile apps, social media, or physical stores – the amount of data generated is colossal. When analyzed and interpreted correctly, this data can provide invaluable insights into the complexities of the customer journey.

In essence, transitioning from intuition to a data-centric approach in CX is not just about collecting vast amounts of data but about deriving actionable insights from it. As the adage goes, “It’s not about the data; it’s about what you do with it.”

(Elevating CX through Data is one thing that requires deep tech expertise)

How Businesses Can Use Data to Elevate Customer Experience?

Numerous tools facilitate data collection, from web analytics to CRM systems. However, brands, mainly startups, with their focus on core business activities, often find it challenging to allocate resources for building customer-facing assets. There we need expert assistance, someone who has the required capabilities. 

Enter companies that have vast experience in developing customer-facing assets for brands. For example, Mantra Labs offers solutions tailored to enhance customer interactions. Let’s first understand what capabilities these companies bring to the table:

  • Tailored Solutions: Tech companies, with their vast experience across industries, offer bespoke solutions that cater to specific brand needs. Whether it’s an AI-powered chatbot for instant customer queries or a personalized recommendation engine, they have the tools and expertise to implement it.
  • Integration and Automation: Modern customers interact with brands across various touchpoints. Tech companies ensure that these interactions are integrated, offering a unified customer view. This not only enhances the user experience but also provides brands with comprehensive data for further analysis.
  • Innovation and Upgradation: The digital world is ever-evolving. Tech companies ensure that brands stay ahead of the curve by introducing innovative solutions and regular upgrades, keeping the customer experience fresh and engaging.
  • Data Analytics and Insights: Beyond mere data collection, tech companies dive deep into analytics, offering brands actionable insights. This data-driven approach allows brands to make informed decisions, optimizing their strategies for maximum impact.
  • Cost Efficiency: Setting up in-house tech teams can be resource-intensive for brands. By outsourcing to tech specialists, they get access to top-tier expertise without the overheads, ensuring cost-effective operations.

We have a good example to learn here. Mantra Labs has developed products like PathomIQ, an AI-powered platform that learns from various conversations, turning them into actionable insights. Their collaboration with TopicIQ resulted in an API that integrates with platforms like Slack, leveraging AI to understand user behavior and interests. This is one such prime example of how tech companies can really help brands crack the logic of enhancing customer experience using advanced analytics and technology.

Conclusion

Data stands as the cornerstone of exceptional customer experience. As businesses, especially startups, grapple with the dual challenges of resource allocation and customer engagement, partnerships with tech innovators like Mantra Labs emerge as a strategic advantage. By harnessing the power of data-driven insights and leveraging specialized expertise, companies can craft personalized customer journeys, fostering loyalty and driving sustainable growth in an increasingly competitive market.

Cancel

Knowledge thats worth delivered in your inbox

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

By :

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.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot