Tag Archives: AI

Pharma ‘Chatbots’: For Better Stakeholder Engagement

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The critical value of meaningful interaction and engagement with individual customers – responding to their specific needs, is fast drawing attention of many businesses, for sustainable performance excellence. The same is happening in the pharma industry, as well. Creative use of this process leveraging modern technological support systems, would also provide a unique scope of cutting-edge brand service differentiation, in well researched areas.

That, it is a very important focus area for the pharma players, is no-brainer. Nonetheless, what really matters most is the novelty in strategizing such interactions and engagements, especially with patients and doctors. I also wrote about it in my article, titled ‘Indian Pharma To Stay Ahead of Technology Curve,’ published in this blog on May 22, 2017. Over two years ago, I clearly indicated there that application of AI via digital tools, called ‘Chatbots’ – the shorter form of ‘Chat Robot’, is one of the ways that pharma may wish to explore this area.

Illustrating this point in that article, I mentioned that on March 05, 2017, a leading bank in India announced the launch of an AI-driven Chatbot named Eva, coined from the words Electronic Virtual Assistant (EVA), to add more value to their services for greater customer satisfaction. ‘According to reports, Eva is India’s first AI driven banking Chatbot that can answer millions of customer queries on its own, across multiple channels, immediately.’

In this article, I shall dwell on this interesting area, with a primary focus on pharma sales and marketing, and assess the progress made in this space, thus far, by several drug companies, including some Indian players. Let me start by recapitulating the basic function and purpose of ‘Chatbots’ in pharma.

Pharma ‘Chatbots’ – the function and purpose:

Simply speaking, pharma ‘Chatbots’ are also AI-powered, fully automated virtual assistants. Its basic function is to mimic one-to-one human conversation on particular areas, as desired by the user. Likewise, its basic purpose is to genuinely help and assist the customers who are in search of right answers to specific disease related questions, in a one-to-one conversational format, having a higher source-credibility.

In that process, ‘Chatbots’ can effectively satisfy the patients and doctors by providing them the required information, immediately. In tandem, pharma companies also reap a rich harvest, by developing not just a trust-based healthy relationship with them, but also in building a robust corporate brand – creating a long-term goodwill that competition would possibly envy.  

Effective customer satisfaction is an area that can’t be ignored:

In the digital age, a new type of general need is all pervasive, with its demand shooting north. This is the need to satisfy a voracious appetite among a large section of the population for all types of information, with effortless and prompt availability of the required details – as and when these come to one’s mind.

When such information need relates to health concern of a person, such as – available treatment options against affordability, or drug price comparisons – factoring in effectiveness, safety concern – exactly the same thing happens. Most individuals won’t have patience even to write an email and wait for an answer, even the wait is just for a short while.

In the current scenario, it will be interesting to fathom, how would a pharma company, generally, interact or engage with such patients, to further business and creating a possible long-time customer? Some companies have started responding to this need – effectively and efficiently, by providing easy access to information through ‘Chatbots’, created on advances AI platforms. But, such players are a few in number.

Can pharma also think of ‘Chatbots’, like ‘Siri’ or ‘Alexa’?

Today, several people are using standalone and branded Chatbot devices in everyday life, such as, Siri (Apple), Alexa (Amazon), Cortana (Microsoft) or Google Now (Android). Interestingly, many industries, including a few companies in pharma, have also started developing their own version of ‘Chatbot dialog application systems.’

Industry specific ‘Chatbots’ are designed to meet with some specific purpose of human communication, including a variety of customer interaction, information acquisition and engagement – by providing a range of customized services to the target group.’ ‘Siri’ or ‘Alexa’ or the likes, on the other hand, are all-purpose general Chatbots, though, for everyday use of individuals. Thus, the question that comes up, in which areas pharma companies can use Chatbots to add value to their interactions and engagements with patients, in general, and also doctors.

Where to use ‘Chatbots’ as a new pharma marketing channel?

Some of the findings on the application of ‘Chatbots’, especially in pharma sales and marketing, featured in the CMI Media publication in December, 2016. It found that drug companies have a unique scope to leverage this new sales and marketing – channel, by developing ‘Chatbots’ in the company represented therapy areas. Following are just a few most simple illustrations of possible types ‘Chatbots’ for interaction and engagement with patients, which can be designed in interesting ways:

  • That can answer all types of patient questions on specific diseases, educate them about the disease and available treatment options with details.
  • That allows patients or physicians to get all relevant information about the prescription drugs that they require to prescribe for patients to start treatment, including potential side effects, adverse events, tolerability, dosing, efficacy and costs, besides others.
  • Once a treatment option is chosen, a third kind of Chatbot can help with patient adherence to treatment, provide reminders when the treatment should be administered, explain how to properly dose and administer the treatment, and other relevant information.

Chatbots could also be useful for doctors and nurses:

As the above paper finds, ‘Chatbots have value for serving healthcare professionals as well, for example:

  • When, physicians and nurses want to understand the pathogenesis, pathophysiology, and/or progression of a specific disease in their patients.
  • Although, such content may also be available on disease state awareness sites, but branded Chatbots would make that content readily available in more of an FAQ format.
  • When health care professionals would like to get data around safety/toxicity, or information about dosing strengths, calculations, and titrations, while using specific brands.

Chatbots can also be effectively utilized by the drug manufacturer to gain deep insights into customer behavior across all touchpoints, to enhance end-to-end customer experience, as I wrote in this blog on July 02, 2018. The data created through this process, can also be put to strategic use to design unique brand offerings.

Need to chart this frontier with caution:

Pharma, being a highly regulated industry in every country of the world, with a varying degree, though, the ‘Chatbot’ development process should strictly conform to all ‘Dos’ and ‘Don’ts’, as prescribed by the regulators of each country. Each and every content of the ‘Chatbot’ should pass through intense, not just regulatory, but also legal and medical scrutiny. Yet another, critical redline that ‘Chatbots’ should never cross is the ‘privacy’ of any individual involved in the process.

Three critical areas to consider for pharma ‘Chatbots’:

Effective pharma ‘Chatbots’ are expected to get ticks on all three of the following critical boxes:

  • Meeting clearly defined unmet needs of patients in search of a health care solution or most suitable disease treatment options.
  • Brand value offerings should match or be very close to the targeted patients’ and doctors’ expectations.
  • Should facilitate achieving company’s business objectives in a quantifiable manner, directly or indirectly, as was planned in advance.

Pharma has made some progress in this area, even in India:

To facilitate more meaningful and deeper engagements with patients, some drug companies, including, in India, are using ‘Chatbots.’ Here, I shall give just three examples to drive home the point – two from outside India and one from India.

October 23, 2018 issue of the pharma letter reported, a study from DRG Digital Manhattan Research found, ‘Novo Nordisk and Sanofi brands rank best for the digital type 2 diabetes patient experience.’ The article wrote, about some pharma players ‘facilitating deeper engagement through the use of automated tools like Chatbots to triage inquiries and get patients the answers they need faster, and through interactive content like quizzes and questionnaires that pull patients in and help them navigate health decisions,’ as follows:

  • Novo Nordisk‘s diabetes website includes an automated Chat feature dubbed “Ask Sophia,” helping patients access disease and condition management information more quickly.
  • Likewise, Merck & Co‘s website for Januvia employs interactive quizzes to educate patients and caregivers.

Similarly, on November 23, 2018, a leading Indian business daily came with a headline, ‘Lupin launches first Chatbot for patients to know about their ailments.’ It further elaborated, the Chatbot named ‘ANYA’, is designed to provide medically verified information for health-related queries. The disease awareness bot aims to answer patient queries related to ailments,’ the report highlighted.

Chatbots – global market outlook:

According to the report, titled ‘Healthcare Chatbots – Global Market Outlook (2017-2026),’the Global Healthcare Chat bots market accounted for USD 97.46 million in 2017 and is expected to reach USD 618.54 million by 2026 growing at a CAGR of 22.8 percent.

The increasing demand for Chatbot ‘virtual health assistance’, is fueled primarily by the following two key growth drivers, the report added:

  • Increasing penetration of high-speed Internet.
  • Rising adoption of smart devices.

Conclusion:

With the steep increase of the usage of the Internet and smart phones, general demand to have greater access to customized information is also showing a sharp ascending trend, over a period of time. A general expectation of individuals is to get such information immediately and in a user-friendly way.

Encouraged by this trend, and after a reasonably thorough information gathering process, mainly from the cyberspace, many patients now want to more actively participate in their treatment decision making process with the doctors. This new development has a great relevance to drug companies, besides other health service providers. They get an opportunity to proactively interact and engage with patients in various innovative ways, responding to individual health needs and requirements, thereby boosting the sales revenue of the corporation.

The unique AI-driven technological platform of pharma ‘Chatbots’, is emerging as cutting-edge tools for more productive stakeholder engagement – so important for achieving business excellence in the digital world. The recent growth trajectory of ‘Chatbots’ in the health care space, vindicates this point.

By: Tapan J. Ray   

Disclaimer: The views/opinions expressed in this article are entirely my own, written in my individual and personal capacity. I do not represent any other person or organization for this opinion.

Leveraging Artificial Intelligence For Greater Patient-Centricity

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‘Artificial Intelligence (AI)’ – the science of simulation of intelligent behavior in computers, has the potential to leave a transformational impact on virtually everything that we see and feel around us. As many will know, the modern definition of AI is “the study and design of intelligent agents where an intelligent agent is a system that perceives its environment and takes actions which maximizes its chances of success.”

Let me begin with a couple of exciting examples on the application of AI for general use. One such is Siri the voice-activated computer in the iPhone that one can interact with as a personal assistant, every day. The other is the self-driving features with the predictive capabilities of Tesla cars; or even the well-hyped Google driver-less car. Alongside, Google is also in pursuit of creating AI with ‘imagination’ through its ‘DeepMind’. It develops algorithms that simulate the human ability to construct plans.

Pharma’s emergence in the AI space:

The unfathomable potential of AI is being slowly recognized in the healthcare arena, as well, including pharma industry. It’s gradual emergence in the space of ‘intelligent learning’, often called ‘machine learning’, ushers in a new paradigm of learning from a vast pool of highly credible real-time data. Innovative applications of this process can fetch a game changing business performance. Its scope spans right across the pharma value chain – from Drug Discovery, including Precision Medicine; Clinical Trials; Pharmacovigilance; Supply Chain Management, and right up-to Sales and Marketing.

Pharma’s emergence in the AI space is quite evident from Reuters report of July 3, 2017. It wrote that GlaxoSmithKline (GSK) has inked a new USD 43 million deal with Exscientia to help streamline the company’s drug discovery process by leveraging AI. With this deal in place, Exscientia will allow GSK to search for drug candidates for up to 10 disease-related targets. GSK will provide research funding and make this payment, if pre-clinical milestones are met.

Again, on July 27, 2017, Insilico Medicine – a Baltimore-based leader in AI, focusing on drug discovery and biomarker development, announced a similar agreement with the biotechnology player Juvenescence AI Limited. According to this agreement, Juvenescence AI will develop the first compounds generated by Insilico’s AI techniques, such as Generative Adversarial Networks in order to generate novel compounds with desired pharmacokinetic and pharmacodynamic properties.

Several other pharmaceutical giants, including Merck & Co, Johnson & Johnson and Sanofi are also exploring the potential of AI for streamlining the drug discovery process. It would help them to significantly improving upon the hit-and-miss business of finding new medicines, as Reuters highlighted.  Eventually, these applications of AI may be placed right at the front-line of pharma business – in search of new drugs.

I have already discussed in this blog – the ‘Relevance of AI in creative pharma marketing’ on October 31, 2016. In this article, I shall mainly focus on leveraging AI in health care for greater patient-centricity, which is emerging as one of the prime requirements for excellence in the pharma business.

Imbibing patient-centricity is no longer an option:

In an article published in this blog on the above subject, I wrote that: ‘providing adequate knowledge, skills and related services to people effectively, making them understand various disease management and alternative treatment measures, thereby facilitating them to be an integral part of their health care related interventions, for better health outcomes, are no longer options for pharma companies.’

The craft of being ‘patient-centric’, therefore, assumes the importance of a cutting-edge  of pharma business for sustainable performance.

What exactly is ‘patient-centricity’?

BMJ Innovations – a peer reviewed online journal, in an article titled, ‘Defining patient centricity with patients for patients and caregivers: a collaborative endeavor’, published on March 24, 2017, defines ‘patient-centricity’ as: “Putting the patient first in an open and sustained engagement of patient to respectfully and compassionately achieve the best experience and outcome for that person and their family.”

Thus, to deliver the best experience, and treatment outcomes to patients, their participation and engagement, especially with the doctors, hospitals and the drug companies assume significant importance.

The June 2017 ‘Discussion Paper’ of McKinsey Global Institute, titled ‘Artificial Intelligence the Next Digital Frontier’ also captured this emerging scenario, succinctly. Recognizing that health care is a promising market for AI, the paper highlighted the enormous potential in its ability. The power of which can draw inferences by recognizing patterns in large volumes of patient histories, medical images, epidemiological statistics, and other data.

Thus, AI has the potential to help doctors improve their diagnoses, forecast the spread of diseases, and customize treatments. Combined with health care digitization, AI can also allow providers to monitor or diagnose patients remotely, as well as transform the way we treat the chronic diseases that account for a large share of health care budgets, the paper underscored. This poses the obvious question: what exactly AI can possibly do in the space of health care?

What can AI do for health care?

In a nutshell, the application of AI or ‘machine learning’ system in health care generally uses algorithms and software to approximate human cognition in the analysis of relevant, yet complex scientific and medical data. In-depth study and interpretation of these in a holistic way would be of immense use in many areas. For example, to understand the relationships between prevention or treatment processes and outcomes, or various debilitating conditions affecting people with the advancement of age, to name just a few.

This necessitates the generation of a huge pool of relevant and credible data from multiple sources, storing and analyzing them meaningfully, and then garnering the capabilities of ‘machine learning’ with the application of AI. Such a process helps in zeroing-in to a series of complex, interdependent strategic actions to go for the gold, in terms of business results. Using conventional methods, as exist today, other than imbibing AI or ‘machine learning’, may indeed be a Herculean task, as it were, to achieve the same.

Invaluable business insights thus acquired need to be shared, across the various different functions of a company, for greater patient-centricity within the organization.

Moving from ‘patient-engagement’ to ‘patient-centricity’:

While making a significant move from just ‘patient engagement’ to being ‘patient centric’, one-size-fits-all strategy is unlikely to yield the desired results. The process of gathering adequate knowledge and understanding of any individual’s disease management skills, which mostly depend on complex multi-factorial, interrelated and combinatorial algorithms, will be a challenging task, otherwise.

Thereafter, comes the need to deliver such knowledge-based value offerings to target patients for better health outcomes, which won’t be easy, either, in the prevailing environment.

Considering these, AI seems to have an immense potential in this area. Some global pharma players are also realizing it. For example, GSK is reportedly engaged with IBM’s Watson in the development of AI-enabled interactive digital Apps for its cold and flu medication to provide relevant information to patients.

Conclusion:

Patient-centricity would soon be the name of the game for pharma business excellence. However, to be truly patient-centric, especially in the sales and marketing operations, pharma players would require to source, process and analyze a huge volume of relevant data in several important areas. These include, target patients, target doctors, environmental dynamics, demographic variations, regulatory requirements, current practices, competitive activities, to name a few.

In this strategic business process, AI or ‘machine learning’ will help accurately mapping the ongoing dynamics and trends in virtually all critical areas. It will help ferret out the nuances of turning around the competitive tide, if any, and that too with immaculate precision. In that sense, AI is likely to emerge as a game changer in imbibing patient-centricity, in the real sense. Consequently, it carries a promise of delivering significantly better outcomes, yielding higher financial returns, alongside.

Although, some concerns on AI are being expressed by several eminent experts, it is generally believed that on the balance of probability, it’s crucial potential benefits far outweigh the anticipated risks. In my view, this holds good even for the pharma industry, especially while leveraging AI for greater patient-centricity, better disease prevention, and more desirable treatment outcomes – improving the quality of life of many, significantly.

By: Tapan J. Ray 

Disclaimer: The views/opinions expressed in this article are entirely my own, written in my individual and personal capacity. I do not represent any other person or organization for this opinion.

 

Indian Pharma To Stay Ahead of The Technology Curve

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In the ever-changing business environment, many industrial sectors have now started leveraging different cutting-edge technological platforms to improve overall strategic and operational effectiveness, keeping a sharp focus on better stakeholder engagement for greater customer satisfaction.

These companies have accepted the inevitability of a paradigm shift in the algorithm of the traditional business process. It has dawned on them that it may not be possible to be in the pole position by tweaking the existing process with multiple incremental changes – a time is just right now to take a quantum leap in this direction. Placing the company ahead of the technology curve to acquire the critical X-factor in outperforming the competition is going to be the new mantra. This is likely to happen even in the sales and marketing domains, much sooner than one can possibly imagine, as the marketplace becomes increasingly tougher.

Moving closer to this direction, Artificial Intelligence (AI) based digital tools, I reckon, is likely to be one of the key game changers. The term AI was coined in 1956 by John McCarthy at the Massachusetts Institute of Technology (MIT) and is usually defined as the science of making computers do things that require intelligence when done by humans. AI helps to ferret out critical answers to many real-life issues and gain a competitive edge in business management, by creating and then effectively analyzing a huge pool of real life data.

AI is the fulcrum of business operations for several leading companies of the world, such as, Apple, Amazon and Uber. It has already started replacing human intelligence in a number key business operations in various industries. As a widely-known Indian business leader recently said, anything that can go digital will go digital. This wave is unstoppable in this modern era.

In this article, I shall restrict the scope of discussion to the application of AI in pharma sales and marketing.

A recent illustration from India:

The application of AI via a digital tool, called Chatbot – the short form of ‘Chat Robot’, is one of the ways in this direction. It is a complex computer program that simulates human conversation, or chat, through auditory or textual methods. Various industries have now started developing the Chatbot dialog application systems for a specialized purpose of human communication, including a variety of customer interaction, information acquisition and providing a range of customized services to the target group.

To illustrate the above point, let me draw upon a recent example from the banking sector of India. On March 05, 2017, a leading bank in India announced the launch of an AI-driven Chatbot named Eva, coined from the words Electronic Virtual Assistant (EVA), to add more value to their services for greater customer satisfaction.

According to reports, Eva is India’s first AI driven banking Chatbot that can answer millions of customer queries on its own, across multiple channels, immediately. It assimilates knowledge from thousands of sources and provide answers in a simple to understand language format in under 0.4 seconds. This is a good example of taking a quantum leap in improving operational efficiency by delighting the new generation of customers. “Within the first few days of its launch, Eva has answered over 100,000 queries from thousands of customers from 17 countries across the globe” – the bank reportedly claimed.

To do routine services more efficiently with a customer-centric approach, this AI-based  Bank OnChat combines a disruptive technology platform for a human-like conversation, powered by AI, and the Bank’s deep domain expertise and long acquired insight of banking related customers. Earlier this year, for a similar customer-oriented initiative using AI and Robotics technologies, the same bank launched an interactive  humanoid called Intelligent Robotic Assistant or IRA.

Although, these are just illustrations in the Indian context, an important question that surfaces: if these can happen in the banking industry, why not in the pharma sector of India?

Resisting changes versus finding innovative means to overcome challenges:

Coming back to the pharma industry, we all are aware that this knowledge sector, over the last four and a half decades in India, has been navigating through umpteen challenges, none of which has been easy, by any measure.

Nevertheless, as compared to the past, I notice a palpable difference today. Significantly more number of shrill voices with fierce resistance to changes are now outnumbering the out of box mindset, desire and efforts to still thrive, by overcoming those critical challenges. Since the formative years of the Indian pharma industry, it has been successfully overcoming the challenges of change, which are unavoidable though.

Such kind of indomitable ‘animal spirit’ within many leaders of the Indian pharma industry, created today’s national pharma behemoths like, Sun Pharma, Lupin, Cadila, Dr. Reddy’s, Alkem and many others. They are thriving despite continuation of immensely challenging business environment and tough socioeconomic demand in the country. By the way, the second richest person in India is from the Indian pharma industry and grew from a scratch, during this very period.

Making creative changes help, moaning doesn’t:

While facing the newer sets of challenges today, many industry greenhorns, I reckon, need to spend more quality time to effectively overcome these turbulences – provided of course they possess the requisite mindset, knowledge and other wherewithal.

Acquiring new insight through modern technological platforms, such as AI, will pay a rich dividend. Better customer engagement and relationship management with new genres of AI tools, furnishing stimulating and modern web-based content with personalized access, would help achieve the desired strategic goals in the changing paradigm – but just moaning won’t, surely.

A few global pharma players are now fathoming the scope and depth of this area, most others are still not sure about its usefulness for customer engagement and interactions, and commensurate real-life data requirements for AI related analytics.

A predictable pattern of a series of unpredictable challenges and developments:

According to Eularis, integrating AI based analytics with a pharma product offerings can provide substantial benefits including, among others, the following:

  • Identification of both tangible and intangible enhanced value proposition
  • Enhanced competitor differentiation
  • Optimal resource allocation for maximum market share gain, revenue and profit
  • Ability to see which levers to pull to maximize growth
  • Customizing sales and marketing messaging for greater customer engagement
  • Automation of sales and marketing messages and channels.

In my view, while moving in this direction, AI based analytics are now far more reliable than any human analysis of the humongous volume of different kinds of data. Doing so is sometimes beyond the capacity of any conventional computers that a marketing professional generally uses for this purpose. The prime requirement, therefore, is not just huge volume of data per se, but good quality of a decent volume of data, that a state of the art analytics would be able to meaningfully deliver to meet specific requirements of pharma marketers for creating a cutting-edge marketing strategy.

This will be an absolute necessity in the complexity of an evolving new paradigm in the cyberspace. In a similar context, as I wrote even earlier, any such technology-driven changes would usually follow a predictable pattern of a series of unpredictable challenges and developments in the business environment, which has already commenced in the pharma industry.

The Market:

According to an April 2013 article, published by the McKinsey  Global Institute, applying big-data strategies to better inform decision making could generate up to US$100 billion in value annually only across the US health care system, by optimizing innovation, improving the efficiency of research and clinical trials, and building new tools for physicians, consumers, insurers, and regulators to meeting the promise of more individualized approaches.

Mandatory generic prescriptions won’t make pharma marketing less important:

Even if the much talked about mandatory prescription in generic names comes to fruition, the new paradigm won’t make pharma marketing less important. This would, however, be more about providing patient-centric, credible and tangible disease management or treatment solutions or both, rather than just selling a drug giving a trade name to it.

Thus, the need for interaction with physicians by the pharma players, besides some additional new target groups, would continue to remain important. Nonetheless, the message – mostly its form, substantive content, the targeting process and the usage of various tools for delivery of the same, would undergo substantive modifications. These changes would generally be prompted by fresh thinking, together with a fresh pair of eyes and mind, in the prevailing business environment, at any given point of time, well supported by data and tested with state of art analytics. The depth and gravity of environmental changes may also hasten the process of digital transformation of pharma sales and marketing, in various ways.

Those who are still trying harder to milk the traditional prescription demand generation process to the extent possible, despite its lesser and lesser yield, would need to introspect now, if they are able to. The time, and the prevailing pharma business environment probably demands jettisoning the conventional mindset faster, and search for the best-suited and most innovative modern tools to hit the bull’s eye. The young pharma professionals with a ‘can do’ spirit to effectively navigate through the strong headwind, are likely to emerge as early winners – provided of course their seniors and diehard ‘trainers’ don’t block their required elbow space.

‘Virtual Representatives’:

Deploying ‘Virtual Representatives (VR)’, well- supported by analytics for key target customers that QuintilesIMS is recommending, could be one among several other important examples in this area. VRs are appropriately equipped to take any doctor’s call online, for any product or related information, at any time the physicians find convenient – during or after their busy practicing hours.

The ‘push-pull’ balance between the doctors and the pharma players for such engagements can also be appropriately configured, and that too at a fraction of the current cost incurred to for similar purpose. This process and the technology used will be quite close to Chatbot, that has recently been introduced by an Indian bank, as illustrated above.

In conclusion:

Despite the rapidly changing business environment, pressing socioeconomic demands and a national dream for ‘Digital India’, the pharma industry hasn’t demonstrated any significant appetite for a change in the process of doing the business in the country. Individual players, by and large, have remained mostly consistent in strictly adhering to much tried processes and tools, though in their multiple permutations and combinations, especially in the domain of sales and marketing.

Other industries, like banking – also facing different types of tough challenges, are making efforts to stay ahead of the technology curve for operational excellence and greater consumer satisfaction. Fast scaling up of digital applications, such as Chatbots, Humanoids and the likes, vindicate this point.

Notwithstanding the availability of a large gamut of cutting-edge technological platforms, such as those based on AI, most players within the pharma industry continue to be rather slow in adopting these important and innovative resources. Could it be due to dearth of requisite talent, especially in pharma sales and marketing leadership within the industry? Well, many may argue so – some may also feel otherwise. Nevertheless, finding the right answer for a slow response of pharma in this domain still remains elusive.

That said, amid a gradually shifting paradigm, Indian pharma companies may wish to consider imbibing innovative technological interventions, such as, AI-based digital applications in sales and marketing. This has a great potential to successfully sail through many uncertainties, not just the latest one. It would also help changing the traditional ball game with a flexible, multitasking and contemporary one – right from conceptualizing – to charting out a customer-centric sales and marketing strategy – and then its immaculate execution, catapulting the company to a new and fascinating growth orbit altogether. Thus, staying ahead of the technology curve by the Indian pharma players, assumes critical importance for a long-term business sustainability, more than ever before.

By: Tapan J. Ray   

Disclaimer: The views/opinions expressed in this article are entirely my own, written in my individual and personal capacity. I do not represent any other person or organization for this opinion.