MAM
“Loop Health is creating a new healthcare system by seamlessly merging health insurance and healthcare”: Loop’s Amrit Singh
Mumbai: Patients are disadvantaged because they lack medical knowledge and have trouble navigating the complex healthcare system. To tackle this, Loop is building a new healthcare system from scratch which actively cares about people and is financially incentivised to keep them healthy. Combining insurance and primary care makes this possible.
With this goal in mind, the startup provides group health insurance plans from prominent insurers to companies, bundled with an instant, virtual care experience. Loop is the only insurance broker in the country with an in-house medical team, now totaling over 40 medical professionals on the payroll. This means members can directly extend preventive care, helping them manage chronic conditions like diabetes, hypertension, COPD, mental health issues, and more.
Indiantelevision,com caught up with Loop co-founder & chief revenue officer Amrit Singh to discuss and raise some key questions regarding the healthcare platform.
Edited excerpts
On Loop Health compared apart from other healthcare platforms in terms of its unique selling proposition
Loop Health is creating a new healthcare system by seamlessly merging health insurance and healthcare. They offer tailored insurance solutions, guaranteeing comprehensive coverage. But, their services extend beyond just insurance, providing each employee with a dedicated medical advisor, access to qualified specialists 24×7, providing data-driven healthcare insights on the Loop app. Their proactive health and wellness programs provide a superior healthcare experience, creating a healthier workforce.
The holistic wellness approach, encompassing physical, mental, and financial well-being, coupled with exclusive healthcare discounts on diagnostics and medicines, positions them uniquely in the market. Currently, Loop provides best-in-class health insurance and healthcare services to 600+ companies and 500,000 lives across India.
On Loop Health ensuring unlimited consultations with its in-house specialists
At Loop Health, they combine the convenience of technology with the personal touch of face-to-face healthcare. At the centre of their healthcare and insurance delivery is the Loop app. On the app, a Loop member can access 15+ medical specialists or chat with a medical advisor 24×7 (they respond within 30 seconds). These specialists are incentivised only to provide the best advice and care possible, not to generate revenue or make a profit.
If a physical consult is deemed necessary, Loop Health directs members to their highly-rated clinics spread across 40+ locations, offering in-person consultations with experienced doctors. This dual approach forms their unique selling proposition, reshaping the conventional healthcare landscape into a more empathetic, responsive, and effective one.
On the elaboration of the curated wellness sessions offered by Loop Health and various topics or areas of well-being covered through these sessions
Loop Health’s curated wellness sessions are a testament to their holistic approach to well-being. These sessions encompass several areas, striking a balance between physical, mental, social and financial health. Engaging doctor talks demystify complex health topics, while programs on physical fitness and mental wellness foster a healthier, happier workforce. They embrace the importance of social well-being, offering initiatives for community engagement. Specific wellness sessions cover critical areas like disease management, diabetes care, hypertension management, and women’s wellness. Additionally, preventative diagnostic testing and on-site health check-ups are a staple, along with vision and dental assessments. Their at-home check-ups take personalised care to a new level. Not to be overlooked are their unique wellness engagements like the Global Stepathon, safety programs, and financial well-being initiatives. Coupled with unlimited mental health consultations and a smoking cessation program, Loop Health’s wellness sessions are not just meetings – they are transformational health experiences.
On Loop Health ensuring personalised healthcare experiences for its users
Loop leverages 100+ health data points that are captured using a combination of the Loop app and intervention programs like health camps and check-ups, to design personalised nudges and care plans for their members. Loop Health’s commitment to personalised healthcare revolves around creating tailored experiences that address individual needs and lifestyles. On one hand, they ensure personalization through comprehensive insurance solutions, flexibly tailored to fit any company’s needs. By securing competitive rates from the most trusted insurers in the market, they ensure the insurance is as unique as the client company.
During life’s critical moments, their Claims & Hospitalisation Support provides high-touch and empathetic assistance, with a dedicated on-site claims advisor present for every hospitalisation.
On the other hand, their curated wellness sessions focus on diverse areas like physical fitness, mental wellness, women’s wellness, and social well-being. These sessions, coupled with informative doctor talks, ensure a robust support system for users. In their Diabetes Care program, individuals receive comprehensive screenings, regular testing, and doctor consultations to craft a custom care plan. Moreover, the dedicated diabetes coach offers daily lifestyle guidance, providing a hand-held journey back to health.
Their Parent Care program offers weekly senior doctor and physio advice, monitoring medication and lifestyle progress via their intuitive app. Similarly, the Hypertension Management Program tailors strategies for heart risk, including medication, diet, fitness coaching, and regular blood tests. Mental health is catered to through unlimited personal therapy sessions and group wellness workshops, focusing on stress management, work-life balance, and more. Their Smoking cessation program provides personalized counselling over several months, helping heavy smokers manage stress and boost lung immunity. For financial wellbeing, they offer support groups, workshops, and focused sessions on financial independence. And for conditions like Sleep Apnea, they provide individual counselling, helping manage stress and anxiety, and balance nutrition.
On sharing some insights into Loop Health’s expansion plans
Loop has a strong presence across three regions in India – Pune, Mumbai, and Bangalore – and the company is expanding rapidly in Delhi-NCR and Hyderabad. Through their healthcare partnerships, they support more than 4000 pin codes across India. The businesses they serve have a pan-India presence, ensuring Loop services are delivered to non-metropolitan cities. Because it’s important for any employer to bridge the gaps between healthcare needs and accessibility.
The idea is to help any company’s employees understand and use the available resources to seek quick medical help when they need it the most and enhance employee well-being across all locations.
Digital
GUEST COLUMN: How AI is restructuring distributor and retailer motivation models
From incentives to intelligence, AI is redefining how brands engage channel partners
MUMBAI: Artificial intelligence is rapidly transforming how brands engage with their most critical yet often overlooked stakeholders: distributors, retailers, and last-mile influencers. For Abhinav Jain, co-founder and CEO of Almonds Ai, this shift marks a fundamental departure from traditional, transaction-led incentive models toward behaviour-driven, data-intelligent ecosystems. In this piece, Jain examines how AI is enabling brands to decode partner motivations, predict engagement patterns, and deliver personalised, scalable experiences—ultimately redefining channel relationships from transactional exchanges to long-term growth partnerships.
Across many sectors, there is increasing recognition that motivating those who bring products to market (distributors, retailers, last-mile influencers) poses a growing challenge.
Brands continue to invest significant marketing and digital resources to consumers, yet in many countries and the vast majority of emerging economies, these types of consumer-focused investment areas have had little impact on ultimate product delivery. Rather, it is still the case that traditional retail continues to make up most products sold.
So why is it that the systems built around motivating these channels have yet to evolve?
For decades, distributor and retailer engagement revolved around static schemes – quarterly targets, volume-based rewards, and occasional trade promotions. These programs were designed around transactions, not behaviour. The assumption was simple: if incentives increase, performance will follow.
Now, with the advent of artificial intelligence, the definition of performance is being challenged.
With the development of artificial intelligence, businesses can move beyond simply creating loyalty based on transactional-based models and toward models built on behaviours, the behaviours of channel partners that are intrinsic to their motivations in engaging with particular brands. As a result, the means by which businesses develop relationships within their distribution network are starting to evolve; thus, ultimately changing how brands interact with those within their distribution network.
Assessing engagement: Transitioning from transactional- to behavioural intelligence
Traditional loyalty systems refer to transactional activity (sales data). Although this data is valuable and important, it only provides a partial view of engagement across the channel partner.
For example, a retailer may have a high frequency of sales of a product, but their lack of engagement with the manufacturer would not reflect that they have true loyalty toward that brand. Conversely, a retailer who actively participates in training programmes, acts as brand advocates, and is engaged in learning with the supplier would exhibit more profound levels of loyalty but would have been invisible based on historical incentive programmes.
Artificial intelligence allows for the identification of behaviours that help to address this gap. Brands are able to use a variety of engagement data points, participate in learning programs, respond to communications, redeem behaviour and track platform use behaviour in order to identify motivation through behaviour.
McKinsey has stated that companies that leverage advanced analytics for their sales and distribution functions can achieve as much as a 15-20 per cent increase in productivity due to increased awareness of their behavioural trends throughout their networks.
This visibility of behavioural patterns within channel ecosystems can be transformational to brands as they can now view how partners engage on their path to purchasing products, instead of just measuring the sales revenue generated by those purchases.
Predicting motivations, not just measuring performance
Possibly, the largest contribution of Artificial Intelligence (AI) to helping brands engage with partners via channel ecosystems is its ability to predict future engagement versus simply measuring past performance.
Traditionally, brands only realised that a partner was disengaged (not likely to purchase products) once their sales performance had already declined. By then, the brand would have to use significant amounts of incentives or aggressive promotional activities to recovery their partner’s engagement level.
AI models can help organisations to detect early signs that a partner is becoming disengaged, such as declining participation in learning modules, declining interaction via the platform, or slower reward redemption rates. These indicators can help organisations to proactively engage with their partners before their sales performance begins to decline.
The practical application of AI and predictive analytics gives brands the ability to re-engage with their partners prior to their sales performance declines. For example, instead of developing and implementing broad-reaching incentive programs that provide a “one size fits all” incentive to all partners in an ecosystem, brands are able to develop targeted, engaging re-engagement programmes. This is how personalisation can be done on a large scale, such as across global distribution and retail networks.
The vast majority of distributor and retailer channels have thousands, if not millions, of individual channel partners. Historically, providing personalisation to such a large number of businesses has not been feasible.
However, with the advent of AI, personalisation at scale is becoming a reality.
Brands can now create tailored engagement journeys for all their partners, based on their partner profiles, through some combination of machine learning models and behavioural segmentation. For example, high-performing distributors might receive higher levels of leadership-based recognition and greater incentives to continue to grow. Emerging retailers, on the other hand, might be supported with training, onboarding rewards, and measurable performance milestones.
The shift towards personalisation of partner engagement echoes the direction that consumer marketing is already moving towards.
According to Salesforce’s report, over 70 per cent of customers expect personalisation in the way that brands engage with them. As such, there is a growing expectation for B2B ecosystems to have these same types of expectations from their channel partners.
Gamification and continuous engagement
AI is also radically changing how brands will engage with their channel partners through the use of gamification.
Many traditional incentive-based contests and leaderboards would spark temporary engagement among their participants, but they struggled to sustain engagement over time. With the use of AI, gamification mechanics are evolving dynamically based on historical and evolving participation patterns by their channel partners.
Challenges, rewards, and recognition structures can be modified continuously in order to sustain engagement with all of a brand’s partner segments. This will provide a greater opportunity to move away from episodic campaigns towards ongoing, continuous engagement experiences.
When channel partners receive motivation as part of their daily business activities through recognition, learning, and tracking their performance, long-term loyalty will be achieved.
Aligning motivation to broader impact
There is a growing trend within the channel ecosystem to integrate sustainability and socially responsible behaviours into the channel partner programmes of brands.
Increasingly, brands are motivating their partners to use sustainable practices in their operations, participate in sustainable practices like sustainability-related knowledge programmes, or promote products that are in line with their sustainability objectives.
Brands can use AI to monitor and measure these types of behaviours and incorporate them into their incentive frameworks so that brands can align their commercial objectives with broader social and environmental outcomes.
A shift in the way brands view their channel partners
AI is having the most significant impact on the way that brands are now viewing their channel partners, as it relates to the underlying philosophy of those fundamental relationships.
For the past several decades, many brands have viewed their channel partners as intermediaries in the supply chain. More and more brands are now beginning to view their channel partners as key ‘partners-in-growth,’ and their actions can have a direct impact on market performance.
In fact, all the channel ecosystems are using behavioural engagement platforms to design new models that reward not just transactional behaviour, but also create continuous engagement journeys for their partners, where their partners can receive recognition for their participation, learning, and continued engagement, thereby reinforcing long-term loyalty to the brand.
The future: Intelligent channel ecosystems
As we consider what the next phase of channel engagement may look like, many believe that it will be based on intelligent ecosystems, using AI to continuously monitor and adjust the engagement strategies used to engage their channel partners, in real time and based on the behaviours of those partners.
For brands operating in complex distribution networks, the ability to perform well will be determined both by whether products are available to their customers, as well as by the enthusiasm, expertise, and loyalty shown from each channel partner that represents the brand each and every day that they are working on behalf of the brand.
While AI clearly does not eliminate the human aspect of a brand’s relationship with its channel partners, it does allow brands to better understand and nurture that relationship.
In markets where the last mile will determine whether a sale is made, how one leverages the intelligence gained by using AI will ultimately be the difference between gaining a new, sustainable competitive advantage versus losing one.
