Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(21)

Clean Tech(9)

Customer Journey(17)

Design(45)

Solar Industry(8)

User Experience(68)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(6)

Manufacturing(3)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(33)

Technology Modernization(9)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(39)

Insurtech(67)

Product Innovation(59)

Solutions(22)

E-health(12)

HealthTech(24)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(153)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(8)

Computer Vision(8)

Data Science(23)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(48)

Natural Language Processing(14)

expand Menu Filters

Will AI Be the Future’s Definition of Sustainable Manufacturing?

Governments worldwide are implementing strict energy and emission policies to drive sustainability and efficiency in industries:

  • China’s Dual Control Policy (since 2016) enforces strict limits on energy intensity and usage to regulate industrial consumption.
  • The EU’s Fit for 55 Package mandates industries to adopt circular economy practices and cut emissions by at least 55% by 2030.
  • Japan’s Green Growth Strategy incentivizes manufacturers to implement energy-efficient technologies through targeted tax benefits.
  • India’s Perform, Achieve, and Trade (PAT) Scheme encourages energy-intensive industries to improve efficiency, rewarding those who exceed targets with tradable energy-saving certificates.

These policies reflect a global push toward sustainability, urging industries to innovate, reduce carbon footprints, and embrace energy efficiency.

What’s driving the world to impose these mandates in manufacturing?

This is because the manufacturing industry is at a crossroads. With environmental concerns mounting, the sector faces some stark realities. Annually, it generates 9.2 billion tonnes of industrial waste—enough to fill 3.7 million Olympic-sized swimming pools or cover the entire city of Manhattan in a 340-foot layer of waste. Manufacturing also consumes 54% of the world’s energy resources, roughly equal to the total energy usage of India, Japan, and Germany combined. And with the sector contributing around 25% of global greenhouse gas emissions, it outpaces emissions from all passenger vehicles worldwide.

These regulations are ambitious and necessary. But here’s the question: Can industries meet these demands without sacrificing profitability?

Yes, sustainability initiatives are not a recent phenomenon. They have traditionally been driven by the emergence of smart technologies like the Internet of Things (IoT), which laid the groundwork for more efficient and responsible manufacturing practices.

Today, most enterprises are turning to AI in manufacturing to further drive efficiencies, lower costs while staying compliant with regulations. Here’s how AI-driven manufacturing is enhancing energy efficiency, waste reduction, and sustainable supply chain practices across the manufacturing landscape.

How Does AI Help in Building a Sustainable Future for Manufacturing?

1. Energy Efficiency

Energy consumption is a major contributor to manufacturing emissions. AI-powered systems help optimize energy usage by analyzing production data, monitoring equipment performance, and identifying inefficiencies.

  • Siemens has implemented AI in its manufacturing facilities to optimize energy usage in real-time. By analyzing historical data and predicting energy demand, Siemens reduced energy consumption by 10% across its plants. 
  • In China, manufacturers are leveraging AI-driven energy management platforms to comply with the Dual Control Policy. These systems forecast energy consumption patterns and recommend adjustments to stay within mandated limits.

Impact: AI-driven energy management systems not only reduce costs but also ensure compliance with stringent energy caps, proving that sustainability and profitability can go hand in hand.

2. Waste Reduction

Manufacturing waste is a double-edged sword—it pollutes the environment and represents inefficiencies in production. AI helps manufacturers minimize waste by enhancing production accuracy and enabling circular practices like recycling and reuse.

  • Procter & Gamble (P&G) uses AI-powered vision systems to detect defects in manufacturing lines, reducing waste caused by faulty products. This not only ensures higher quality but also significantly reduces raw material usage.
  • The European Union‘s circular economy mandates have inspired manufacturers in the steel and cement industries to adopt AI-driven waste recovery systems. For example, AI algorithms are used to identify recyclable materials from production waste streams, enabling closed-loop systems. 

Impact: AI helps companies cut down on waste while complying with mandates like the EU’s Fit for 55 package, making sustainability an operational advantage.

3. Sustainable Supply Chains

Supply chains in manufacturing are vast and complex, often contributing significantly to carbon footprints. AI-powered analytics enable manufacturers to monitor and optimize supply chain operations, from sourcing raw materials to final delivery.

  • Unilever uses AI to track and reduce the carbon emissions of its suppliers. By analyzing data across the supply chain, the company ensures that partners comply with sustainability standards, reducing overall emissions.
  • In Japan, automotive manufacturers are leveraging AI for supply chain optimization. AI algorithms optimize delivery routes and load capacities, cutting fuel usage and emissions while benefiting from tax incentives under Japan’s Green Growth Strategy.

Impact: By making supply chains more efficient, AI not only reduces emissions but also builds resilience, helping manufacturers adapt to global disruptions while staying sustainable.

4. Predictive Maintenance

Industrial machinery is a significant source of emissions and waste when it operates inefficiently or breaks down. AI-driven predictive maintenance ensures that equipment is operating at peak performance, reducing energy consumption and downtime.

  • General Electric (GE) uses AI-powered sensors to monitor the health of manufacturing equipment. These systems predict failures before they happen, allowing timely maintenance and reducing energy waste.
  • AI-enabled predictive tools are also being adopted under India’s PAT scheme, where energy-intensive industries leverage real-time equipment monitoring to enhance efficiency. (Source)

Impact: Predictive maintenance not only extends the lifespan of machinery but also ensures that energy-intensive equipment operates within sustainable parameters.

The Road Ahead

AI is no longer just a tool—it’s a critical partner in achieving sustainability. By addressing challenges in energy usage, waste management, and supply chain optimization, AI helps manufacturers not just comply with global mandates but thrive in a world increasingly focused on sustainability.

As countries continue to tighten regulations and push for decarbonization, manufacturers that embrace AI stand to gain a competitive edge while contributing to a cleaner, greener future.

Mantra Labs helps manufacturers achieve sustainable outcomes—driving efficiencies across the shop floor to operational excellence, lowering costs, and enabling them to hit ESG targets. By integrating AI-driven solutions, manufacturers can turn sustainability challenges into opportunities for innovation and growth, building a more resilient and responsible industry for the future.

Cancel

Knowledge thats worth delivered in your inbox

How Smarter Sales Apps Are Reinventing the Frontlines of Insurance Distribution

The insurance industry thrives on relationships—but it can only scale through efficiency, precision, and timely distribution. While much of the digital transformation buzz has focused on customer-facing portals, the real transformation is happening in the field, where modern sales apps are quietly driving a smarter, faster, and more empowered agent network.

Let’s explore how mobile-first sales enablement platforms are reshaping insurance sales across prospecting, onboarding, servicing, renewals, and growth.

The Insurance Agent Needs More Than a CRM

Today’s insurance agent is not just a policy seller—they’re also a financial advisor, data gatherer, service representative, and the face of the brand. Yet many still rely on paper forms, disconnected tools, and manual processes.

That’s where intelligent sales apps come in—not just to digitize, but to optimize, personalize, and future-proof the entire agent journey.

Real-World Use Cases: What Smart Sales Apps Are Solving

Across the insurance value chain, sales agent apps have evolved into full-service platforms—streamlining operations, boosting conversions, and empowering agents in the field. These tools aren’t optional anymore, they’re critical to how modern insurers perform. Here’s how leading insurers are empowering their agents through technology:

1. Intelligent Prospecting & Lead Management

Sales apps now empower agents to:

  • Prioritize leads using filters like policy type, value, or geography
  • Schedule follow-ups with integrated agent calendars
  • Utilize locators to look for nearby branch offices or partner physicians
  • Register and service new leads directly from mobile devices

Agents spend significantly less time navigating through disjointed systems or chasing down information. With quick access to prioritized leads, appointment scheduling, and location tools—all in one app—they can focus more on meaningful customer interactions and closing sales, rather than administrative overhead.

2. Seamless Policy Servicing, Renewals & Claims 

Sales apps centralize post-sale activities such as:

  • Tracking policy status, premium due date, and claims progress
  • Sending renewal reminders, greetings, and policy alerts in real-time
  • Accessing digital sales journeys and pre-filled forms.
  • Policy comparison, calculating premiums, and submitting documents digitally
  • Registering and monitoring customer complaints through the app itself

Customers receive a consistent and seamless experience across touchpoints—whether online, in-person, or via mobile. With digital forms, real-time policy updates, and instant access to servicing tools, agents can handle post-sale tasks like renewals and claims faster, without paperwork delays—leading to improved satisfaction and higher retention.

3. Remote Sales using Assisted Tools

Using smart tools, agents can:

  • Securely co-browse documents with customers through proposals
  • Share product visualizations in real time
  • Complete eKYC and onboarding remotely.

Agents can conduct secure, interactive consultations from anywhere—sharing proposals, visual aids, and completing eKYC remotely. This not only expands their reach to customers in digital-first or geographically dispersed markets, but also builds greater trust through real-time engagement, clear communication, and a personalized advisory experience—all without needing a physical presence.

4. Real-Time Training, Performance & Compliance Monitoring

Modern insurance apps provide:

  • On-demand access to training material
  • Commission dashboards and incentive monitoring
  • Performance reporting with actionable insights

Field agents gain access to real-time performance insights, training modules, and incentive tracking—directly within the app. This empowers them to upskill on the go, stay motivated through transparent goal-setting, and make informed decisions that align with overall business KPIs. The result is a more agile, knowledgeable, and performance-driven sales force.

5. End-to-End Sales Execution—Even Offline

Advanced insurance apps support:

  • Full application submission, from prospect to payment
  • Offline functionality in low-connectivity zones
  • Real-time needs analysis, quote generation, and e-signatures
  • Multi-login access with secure OTP-based authentication

Even in low-connectivity or remote Tier 2 and 3 markets, agents can operate at full capacity—thanks to offline capabilities, secure authentication, and end-to-end sales execution tools. This ensures uninterrupted productivity, faster policy issuance, and adherence to compliance standards, regardless of location or network availability.

6. AI-Powered Personalization for Health-Linked Products

Some forward-thinking insurers are combining AI with health platforms to:

  • Import real-time health data from fitness trackers or health apps 
  • Offer hyper-personalized insurance suggestions based on lifestyle
  • Enable field agents to tailor recommendations with more context

By integrating real-time health data from fitness trackers and wellness apps, insurers can offer hyper-personalized, preventive insurance products tailored to individual lifestyles. This empowers agents to move beyond transactional selling—becoming trusted advisors who recommend coverage based on customers’ health habits, life stages, and future needs, ultimately deepening engagement and improving long-term retention.

The Mantra Labs Advantage: Turning Strategy into Scalable Execution

We help insurers go beyond surface-level digitization to build intelligent, mobile-first ecosystems that optimize agent efficiency and customer engagement—backed by real-world impact.

Seamless Sales Enablement for Travel Insurance

We partnered with a leading travel insurance provider to develop a high-performance agent workflow platform featuring:

  • Secure Logins: Instant credential-based access without sign-up friction
  • Real-Time Performance Dashboards: At-a-glance insights into daily/monthly targets, policy issuance, and collections
  • Frictionless Policy Issuance: Complete issuance post-payment and document verification
  • OCR Integration: Auto-filled customer details directly from passport scans, minimizing errors and speeding up onboarding

This mobile-first solution empowered agents to close policies faster with significantly reduced paperwork and data entry time—improving agent productivity by 2x and enabling sales at scale.

Engagement + Analytics Transformation for Health Insurance

For one of India’s leading health insurers, we helped implement a full-funnel engagement and analytics stack:

  • User Journey Intelligence: Replaced legacy systems to track granular app behavior—policy purchases, renewals, claims, discounts, and drop-offs. Enabled real-time behavioral segmentation and personalized push/email notifications.
  • Gamified Wellness with Fitness Tracking: Added gamified fitness engagement, with rewards based on step counts and interactive nutrition quizzes—driving repeat app visits and user loyalty.
  • Attribution Tracking: Trace the exact source of traffic—whether it’s a paid campaign, referral program, or organic source—adding a layer of precision to marketing ROI.
  • Analytics: Integrated analytics to identify user interest segments. This allowed for hyper-targeted email and in-app notifications that aligned perfectly with user intent, driving both relevance and response rates.

Whether you’re digitizing field sales, gamifying customer wellness, or fine-tuning your marketing engine, Mantra Labs brings the technology depth, insurance expertise, and user-first design to turn strategy into scalable execution.

If you’re ready to modernize your agent network – Get in touch with us to explore how we can build intelligent, mobile-first tools tailored to your distribution strategy. Just remember, the best sales apps aren’t just tools, they’re growth engines; and field sales success isn’t about more apps. It’s about the right workflows, in the right hands, at the right time.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot