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

How can AI help in Remote Recruiting during COVID-19

4 minutes, 42 seconds read

The outbreak of Coronavirus has set off a chain reaction across industries taking the world economy into probably what can be called the worst recession so far. Various sectors like travel, hospitality, BFSI, supply chain, and logistics are getting hit due to social distancing and lockdowns. The effect of 2008 depression can be felt again and possibly more this time. This will have an adverse effect on employment as organizations will now re-evaluate their current business position. The initial wave of unemployment has already hit due to a lack of demand and limited cash flow in the economy. 

Due to the lockdown in India, the number of unemployed people increased from 32 million to 38 million in March, said a report released by Centre for Monitoring Indian Economy (CMIE). The unemployment rate crossed 23%. Many small and medium businesses have already started layoffs and furloughs. Organizations have become more cognizant of the money spent on human resources and deploying methods to simplify hiring through remote recruiting. Even though there’s less demand for workforce, this situation will prove to be an opportunity for jobs in some sectors.

Jobs in demand during this pandemic

The current crisis is difficult for businesses as they have to reassess crucial positions and develop new roles and responsibilities for its workforce. Organizations will look for multiple skills and capabilities within their workforce. In the post-pandemic world, once the crisis is under control, there will be an upsurge in the employment opportunities for people. The COVID-19 crisis will end one day but it has taught the world an important lesson about being prepared for any possible future pandemics. 

Professions like virologists and epidemiologists which were neglected earlier will now be more in demand. Much is said about supply chains being disrupted but the essential products and services still need to reach the end consumer. Organizations still have money and inventory which needs to be delivered. Those working in the supply chain system will still be in high demand. The education sector has gone under a transformation due to social distancing. The rise of online education has led to a rise in teaching jobs. 

Now that organizations have seen that ‘Work from Home’ actually works, there’ll be an increase in freelance job opportunities leading to a growth in the ‘gig economy’, which, in-turn will focus on efficient remote recruiting.  

[Also read: Enterprises investing in Workplace Mobility Can Survive Pandemics]

Applications of AI in Recruitment

In the current situation, there is a need for people with multiple skill-sets for critical positions. Temporarily, the job scene might not look good but it will soon pick up the pace and when it does, recruiters will have a lot of work cut out for them to hire the right people. In both scenarios, AI will play an important role. Here are some applications of AI in remote recruitment- 

Candidate screening

One of the most tedious and challenging tasks in remote recruiting is to screen candidate profiles for the relevant positions. AI-powered tools can investigate millions of profiles saving time and helping them to focus on other important tasks like building relations. 

Skill-set matching 

Every position needs a certain set of skills, talent, personality, and qualifications. AI can use data and match the job description with the applicant’s work experience, skill-sets, personality etc. This helps in improving the selection criteria of the potential candidates.

Recommendation for positions

Some AI-powered tools screen the pool of candidates and grade them in the ranks which are best suitable for the mentioned positions. This gives a much clearer picture to the recruiters enabling them in better decision making.

Identifying potential skills within the organization 

In many organizations, there are internal job postings which employees can apply for. Now, during the on-going crisis, companies need employees who can take up additional responsibilities. AI here can screen the profiles within the organization and identify the potential candidates for the required positions.

[Details: AI in Recruitment & Discovering Talent]

Post-pandemic world: Role of AI in Remote Recruiting

Post this pandemic, once the economic graph picks up, the market will see a rise in employment opportunities as well. This will increase the pool of candidates applying for jobs. There will be huge pressure on recruiters to screen thousands of profiles and source the right candidates for required positions. AI here can help in automating time-consuming workflows. With automation, organizations can cut down on costs and save a lot of time for their recruiters. 

AI-powered tools bring speed and accuracy in recruitment which helps improve the quality of hiring. Even after the pandemic, the world doesn’t seem likely to go back to normal. Many organizations will continue to have their employees work from home. In the recent news, TCS announced that around 75% of its workforce is likely to work from home by 2025. The entire recruitment process will will have to adapt to remote working. 

Conclusion

AI has been around for quite some years and is strengthening its position in across industries. Organizations have understood the importance of AI in increasing operational efficiency. The success of AI-powered tools has shown that it would be a necessity for a recruiter soon. Yet, they hesitate to invest in AI for recruitment. Sure there might be budgetary concerns right now due to the slowdown but sooner or later organizations will have to integrate AI into their recruitment process. An organization’s strength lies in the quality of its workforce. Sure AI cannot replace the intelligence brought in by recruiters but in the coming years, quality hiring will depend on how well the recruiters automate their workflows which would be possible with the help of AI.

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