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(38)

Insurtech(66)

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

5 key points from day 3, Google I/O 2017

In continuation of the last two days the IO event became more detail oriented with deep dive technical sessions covering various aspects of the improvements in Google products and enhanced capabilities that developer can access.

c_93a5qvyaejdde-large

Here is our summary of some important discussions.

1.Improved sign-in, payments and forms in Apps

Google is trying to tackle the challenges of critical flows like login, payments and forms by using new APIs. Android now has Autofill, Google Smart Lock, and Backup and Restore APIs for your apps. These new APIs will help users

1) The login and payment experience,

2) Seamlessly syncing logins between your website and mobile app, and

3) Preventing users from getting locked out when they switch devices.

Watch the complete video here Link

2. Android meets TensorFlow

TensorFlow is powering google AI. A detailed session on AI technology for production Android apps was conducted. One of the main benefits of TensorFlow is Portability. You can easily move the neural network model to Android and run the prediction inside mobile phones, to do many AI tricks things like image recognition, motion recognition and etc.

Google provided the tips and tricks to overcome the challenges of the model size and CPU consumption for neural network prediction.

Watch the complete video here Link

3. Performance and Memory improvements in Android Run Time

Android Run Time (ART) is getting major improvements like the new concurrent copying garbage collector (GC) based on read barriers, and improvements to the ahead-of-time (AOT) and just-in-time (JIT) compiler. The new GC will reduce pause times and heap sizes compared to its predecessor.

Watch full video here Link

4. Kotlin

kotlin_800x320

Kotlin is now an officially supported language for Android. Kotlin is a language that runs on the JVM (Java Virtual Machine), and it’s already possible to use Kotlin and many other JVM languages for Android development.  This is the Link https://youtu.be/X1RVYt2QKQE to know the tips for developers to get started with it.

5. Machine Learning APIs

Google has introduced new machine earning APIs that provide access to pre-trained machine learning models with a single API call. Now you can make use of Google’s machine learning expertise to power your applications. Google Cloud Platform (GCP) offers five APIs that provide : Google Cloud Vision API, Cloud Speech API, Cloud Natural Language API, Cloud Translation API and Cloud Video API. Using these APIs, you can focus on adding new features to your app rather than building and training your own custom models.

watch full video here Link

Cancel

Knowledge thats worth delivered in your inbox

Sales Applications Are Disrupting More Than Just Sales

Sales success today isn’t about luck or lofty goals—it’s about having the right tools in your team’s hands, wherever they go. Following our earlier in-depth exploration of sales technology, we will now examine how cutting-edge sales apps are becoming the backbone of modern industries, transforming complex workflows into seamless, growth-driving machines.

From retail to healthcare, logistics to real estate, businesses are deploying sales applications to enhance operational transparency, cut redundant tasks, and build intelligent sales ecosystems. These tools are not only digitizing workflows—they’re driving growth, improving engagement, and redefining how field teams operate.

Lead Ecosystems: Unified visibility across channels

One app. Five workflows. Zero friction.

A leading insurance brand relaunched their app—a sleek, powerful sales companion that’s turning everyday agents into top performers.

No more paperwork. More time to sell.

Here’s what changed:

  • Every visit is tagged, tracked, and followed through. Renewals? Never missed. Leads? Fully visible.
  • Attendance and reimbursements went on autopilot. No more manual logs. No more chasing approvals.
  • New business and renewals are tracked in real time, with accurate forecasting that sales leaders can finally trust.
  • Dashboards are clean, configurable, and useful—insights that move the business, not just report on it.
  • Seamless Integrations. API connectivity with Darwin Box, IMD Master Data, and SSO authentication for a unified experience.

The result? A field team that moves faster, sells better, and works smarter.

Retail: Taking Orders from the Frontline—Smartly

Field sales agents in retail, especially FMCG, used to rely on gut instinct. Now, with intelligent sales applications:

  • AI recommends what to upsell or cross-sell based on previous order patterns
  • Real-time stock availability and credit status are visible in the app
  • Geo-fencing ensures optimized route planning
  • Built-in payment collection modules streamline transaction closure

Healthcare: Structuring Sales with Compliance and Precision

Healthcare leaders don’t need more reports—they need better visibility from the field.  Whether it’s engaging hospital networks, onboarding clinics, or enabling diagnostics at the last mile, everything needs precision, compliance, and clarity. 

Mantra Labs helped a leading healthcare enterprise design a sales app that integrates knowledge, compliance, performance, and recognition, turning frontline agents into informed, aligned, and empowered brand advocates. 

Here’s what it delivers:

  • Role-based onboarding that keeps every level of the field force aligned and accountable
  • Escalation mechanisms are built into the system, driving transparency across commissions and performance reviews
  • A centralized Knowledge Hub featuring healthcare news, service updates, and training modules to keep reps well-informed
  • Recognition modules that celebrate milestones, boost morale, and reinforce a culture of excellence

Now, the field agents aren’t just connected—they’re aligned, upskilled, and accountable.

Real Estate: From Cold Calls to Smart Conversions

For real estate agents, timing and personalization are everything. Sales applications are evolving to include:

  • Virtual site tour integration for remote buyers
  • Mortgage and EMI calculators to increase buyer confidence
  • WhatsApp-based lead capture and nurture sequences
  • CRM integration for inventory updates and automatic scheduling

Logistics: From Chaos to Control in Field Coordination

Field agents in logistics are switching from clipboards to real-time command centers on mobile. Modern sales applications offer:

  • Live delivery status and route deviation alerts
  • Automated dispute reporting and issue resolution tracking
  • Fleet coordination through integrated GPS modules
  • Customer feedback capture and SLA dashboards

What’s new & what’s next in Sales Applications?

Here’s what’s pushing the next wave of innovation:

  • Voice-to-Text Logging: Agents dictate notes while on the move.
  • AI-Powered Nudges: Apps that suggest next-best actions based on behavior.
  • Omnichannel Communication: In-app chat, WhatsApp, email—unified.
  • Role-Based Dashboards: Different data views for admins, managers, and field reps.

What does this mean for Business Leaders?

Sales Applications are not just tactical tools. They’re platforms for transformation. With the right design, integrations, and analytics, they:

  • Replace guesswork with intelligence
  • Reduce the cost of delay and manual labor
  • Improve agent accountability and transparency
  • Speed up decision-making across hierarchies

The future of field sales lies in intuitive, AI-driven applications that adapt to every industry’s nuances. At Mantra Labs, we work closely with enterprises to custom-build sales applications that align with business objectives and ground-level realities.

Conclusion: 

If your agents still rely on Excel trackers and daily call reports, it’s time to reimagine your sales operations. Let us help you bring your field operations into the future—with tools that are fast, field-tested, and built for scale.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot