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Raising the Bar: Key Takeaways from Salesforce ‘Connected Customer’ Conference

Living up to the Customer is the nouveau and delicate challenge surrounding digital enterprises today. The holisitic shift in focus has parlayed the reaps of experimentation around ‘customer loyalty’ a decade ago, into a new hymn praising the ‘extraordinary experiences’ that businesses can now deliver to their customers. Moreover, 84% of customers say the experience a company provides is as important as its products and services – up from 80% in 2018.

Remarkably, business buyers are just as picky and choosy about their purchase decisions as the consumers they’re coddling — and with good reason too. 89% of business buyers vs 83% of consumers share similar views on the role of customer experience. Both groups also share similar expectations from companies engaging with them — they all need more product information, product choices, and product types to make the most informed buying decisions. 


Personalised Journeys

Salesforce’s recent report points the digital arrow towards intelligence in the connected customer journey. The expectations are as clear as they are loud — more personalisation. When customers’ needs are left unmet by their primary engager, even after several interactions, the relationship weakens. As a result, at least 52% of all customers (including millennials and Gen Z’ers) feel companies are generally impersonal. 

Modern customer engagement happens in real time, (71% of customers feel this way) — highlighting how hurriedly the consumer’s attention is split.

AI-powered Experiences

Truly the stakes have never been higher than they are now. To raise the bar, companies are turning to data to solve these challenges. An intelligent experience for any customer has to have AI built-in, be outcome-focused, complete, actionable, simple and trustable. 


Source: Salesforce State of the Connected Customer

All AI is based on data, specifically good data. But data can’t be sourced from within the company alone. Lots of external data sources are critical to training advanced machine learning models. Nowadays, most organisations are data rich, information poor and ineptly staffed.

Browsing and discovery are closely shaping the way businesses organize service and delivery. According to the report, more than half of customers expect to find whatever they need in three clicks or less. The future state of connectivity is already trying to reduce these clicks to zero, where the experience is hyper-connected and hyper-individualized, right before the customer even decides to buy.

Why Good Data?

Good data enriches unique insights into the customer’s behavior and interests. Customer buying decisions don’t always follow a well-defined rationale or logic. So, to train a model to understand human behavior and preferences — we teach the model a variety of identifiable patterns that the model will then learn and perfect on. Using this learned information, we can approximate for the next buyer! This way the model behaves like a sales rep who is able to identify who the best customers are, why they like your products or services, and even why they prefer yours over competitors.


Source: Salesforce State of the Connected Customer

From Multi to Omni

Millennials & Gen Z are the most omni-channel group among today’s consumers — utilizing around 11 channels on average. Noteworthily, the report reveals that business buyers are not that different; sixty-seven percent of them prefer to buy through multiple digital channels. Business buyers are more likely than consumers to value product

By placing the customer at the heart of the problem, organizations are under more pressure than ever to deliver real-time results, seamless hand-offs and ultra-contextualized experiences. An emphasis on developing strong policies surrounding the collection and use of data — demonstrates a level of commitment that doesn’t go unnoticed by customers. Infact, the ROI of sound data practices extends beyond trust. The key to winning customer experience begins with being transparent about their data. Companies focusing on the quick sale will have to take an ongoing investment in the customer relationship, well after the deal is done, to stand a chance at winning in the connected future.

We help startups and enterprises, build & scale AI-driven products and solutions for last mile environments. Reach out to us on hello@mantralabsglobal.com, to learn more.

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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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