Robotics and Healthcare: A Roundup of New Developments

If you work in sales management for a pharmaceutical or wellness company, you have certainly heard about artificial intelligence, commonly known as AI.

AI is often presented as the solution to every problem, but what can it actually do for you? How far can it help you predict pharmacy sales or optimize field sales representative routes? And how can you take part in this revolution, which is already well underway?

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13/08/2026
11:48

reading time : 2 min

Lucie Monnot

Content Marketing Manager

Why artificial intelligence matters to healthcare professionals

Sales forecasting

According to a recent study published by Tractica, the global artificial intelligence software market was expected to reach $126 billion in annual revenue by 2025.

Sales is one of the professions investing most heavily in AI. This is hardly surprising given what AI is already capable of, particularly in the area of predictive analytics.

As a sales director or manager for a pharmaceutical or wellness company, you may be responsible for almost 20,000 points of sale. That is a considerable number. You therefore need to find a way to visit the right locations at the right time.

In an ideal world, you would be able to tell every sales representative: “Return to this pharmacy on this date and offer only this product range.”

AI can, to a certain extent, predict which prospects are likely to become customers by relying on characteristics or behaviors that indicate their likelihood of purchasing your products.

Imagine fully automated and optimized routes managed by virtual assistants powered by deep learning and natural language processing. These assistants would never make a mistake, never forget anything and always target the right opportunities.

This is not science fiction. It is becoming a reality.

Inventory and supply management

Thanks to machine learning algorithms, you can forecast inventory requirements with a high degree of accuracy, taking historical trends, seasonal variations and one-off events, such as the COVID-19 pandemic, into account.

AI can therefore help reduce shortages and excess inventory while optimizing costs and ensuring the availability of essential products.

People are not being replaced

For artificial intelligence to work properly, it still requires human oversight.

You define the sales strategy and objectives. No matter how “intelligent” an algorithm may be, it must be configured and managed by people who have an in-depth understanding of the healthcare and wellness sector.

AI is not intended to replace sales teams. It is intended to enhance their performance. Without human supervision, the technology will not produce satisfactory results.

You are also responsible for providing AI with the data it needs to operate. Remember that the quantity and quality of your data have a direct impact on the reliability of the predictions produced by an AI system.

In a sense, data is the fuel that powers AI software.

Artificial intelligence tools in the pharmaceutical sector

Artificial intelligence is rapidly transforming the pharmaceutical sector by introducing innovations at every stage, from research and development to pharmacy sales. The following sections explain how AI is being used in these areas.

AI for research and development

In pharmaceutical research and development, AI plays a fundamental role by accelerating drug discovery and optimizing development processes.

AI tools can analyze enormous quantities of biological and clinical data to identify promising therapeutic targets, predict drug interactions and optimize clinical trials.

Machine learning algorithms reduce the time required to discover new medicines by rapidly filtering potential compounds and simulating their interactions with biological targets.

For example, predictive models can anticipate potential side effects and the toxicity of new medicines, thereby improving treatment safety and effectiveness.

AI is also used to repurpose existing medicines for new indications. How? By analyzing data from previous clinical trials and identifying previously unnoticed connections between diseases and treatments.

This approach can lead to faster and less expensive therapeutic solutions.

AI for pharmacy sales

Sales in the pharmaceutical industry remains fundamentally a people-oriented profession.

To support you at the heart of this AI revolution, it is therefore best to choose a technology partner that understands your business, values dialogue and advice, and can provide an intelligent CRM specifically designed for pharmaceutical and wellness companies.

You can then benefit from the advantages of technology with confidence, while continuing to develop strong internal capabilities that boost both sales performance and your own natural intelligence.

Choosing the right CRM is not a simple task. The market is somewhat saturated.

To help you make the right decision, we have prepared a comprehensive guide.

The challenges of adopting AI in pharmacies

Adopting artificial intelligence presents incredible opportunities, but also significant challenges. Two of the main challenges are securing healthcare data and processing information ethically.

Securing healthcare data

Securing healthcare data is an absolute priority when adopting AI in pharmacies.

Healthcare data is extremely sensitive, and its protection is governed by strict regulations, including the General Data Protection Regulation, or GDPR, in Europe and the Health Insurance Portability and Accountability Act, or HIPAA, in the United States.

Security risks: AI systems require access to large quantities of data to operate effectively. This increases the risk of cyberattacks and data breaches. Implementing robust security measures, including data encryption, firewalls and intrusion detection systems, is essential for protecting this sensitive information.
Unauthorized access: Ensuring that only authorized individuals can access healthcare data is essential. This includes using strict access controls and monitoring activity to detect and prevent unauthorized access.
Staff training: Raising staff awareness and training employees in cybersecurity and data management best practices is fundamental to preventing human errors that could lead to data leaks.

Ethical data processing

Ethical data processing is another major challenge. AI can analyze massive volumes of data to generate insights, but it must do so ethically and with respect for patient privacy.

Consent: It is essential to ensure that patients provide consent for their data to be used in AI systems. This involves clearly explaining how their data will be used, stored and protected.
Transparency and accountability: Companies must be transparent about how they use AI and healthcare data, and be prepared to take responsibility for their decisions. This includes establishing ethics committees and oversight mechanisms to supervise the use of AI.

The future prospects for AI in the pharmaceutical sector

AI continues to transform the pharmaceutical sector, with promising prospects for future integration with other technologies and the evolution of regulatory frameworks.

Integration with other technologies, including IoT and blockchain

Integrating AI with technologies such as the Internet of Things, or IoT, and blockchain opens up new possibilities for the pharmaceutical sector.

IoT enables real-time data collection from connected medical devices, improving patient monitoring and clinical trial management.

Blockchain provides a secure and transparent solution for monitoring supply chains, tracking medicines and verifying clinical trials.

Together, these technologies create more efficient, secure and reliable systems, making data management and decision-making easier.

Upcoming regulations

The rapid development of AI in the pharmaceutical sector requires regulatory frameworks to be updated continuously.

Regulatory agencies, including the FDA in the United States and the EMA in Europe, are working on specific guidelines governing the use of AI and related technologies.

These regulations are intended to guarantee the safety, effectiveness and ethical use of AI-based solutions, while protecting patient data and ensuring process transparency.

In the future, stricter and more specific regulations are expected to be introduced to address the unique challenges posed by AI in the pharmaceutical sector.

Artificial intelligence is revolutionizing the pharmaceutical sector by providing innovative solutions for sales forecasting and optimizing field sales representative routes.

To make full use of these technologies, you need to choose a technology partner that understands the specific requirements of your business.

By investing in an intelligent CRM designed for pharmaceutical companies, you can boost sales while improving operational efficiency.

Frequently Asked Questions

FAQ – The Most Frequently Asked Questions About Nomadia

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