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How AI boosts brand sales in pharmacies and drugstores

How AI boosts brand sales in pharmacies and drugstores

Discover 6 ways to boost sales in pharma and parapharmacy using AI

Margot Bonhomme

Margot Bonhomme

Marketing & Communication Manager at Sidely

Updated on

In short

6 min read

  • Smart prioritization of pharmacies via potential scoring to optimize visits and ROI.

  • Increased anticipation of demand and precise inventory management to reduce stockouts and overstocks.

  • Personalization of sales pitches based on history and local specificities of each point of sale.

  • Reactive steering of actions through the automated leverage of sell-out data.

  • Targeted optimization of promotional campaigns to maximize the leverage effect without tariff disruption.

  • Strengthening of pharmacy team training through adapted e-learning paths.

The pharmacy network represents a major growth driver for many health, well-being, and dermocosmetic brands. However, it is also a complex channel to address: ultra-fragmented (more than 21,000 points of sale in France), with very different profiles from one pharmacy to another, an indirect prescription logic, and high expectations from both pharmacy teams and consumers.

In this context, artificial intelligence becomes a real strategic asset. It does not replace the human relationship; it strengthens it by bringing precision, personalization, and responsiveness to every level of the sales pipeline.

Here are 6 key levers, explained in detail, to understand how AI can transform brand performance in pharmacies/drugstores.

1. Prioritize pharmacies using a potential score

Not all pharmacies offer the same business prospects. Between a downtown pharmacy specializing in dermocosmetics and a rural pharmacy focused on long-term treatments and OTC, expectations, volumes, and customer profiles vary enormously.

Today, many brands lack the tools to sort through this effectively. As a result, their field sales teams visit points of sale based on criteria that are not very rational (proximity, relationship history, habit...).

What AI makes possible:

  • Aggregate data on the typology of each pharmacy (location, dominant socio-professional category, product specialties)

  • Analyze order history (via wholesalers, buying groups, or internal ERP)

  • Identify typical purchasing behaviors by category (supplements, Dermo, pediatrics, etc.)

Why it is useful: By scoring the potential of each point of sale, your teams can:

  • Plan their visits more efficiently

  • Adapt their pitch and offers to local priorities

  • Optimize their field time and maximize the ROI of each contact

2. Anticipate demand to better manage inventory

In pharmacies, sales are very often subject to seasonal effects (allergies in spring, sun protection in summer, immunity in winter...) and external health events (flu waves, stomach flu outbreaks, etc.).

For many brands, inventory management remains approximate: push-flow deliveries, without taking local specificities into account, sometimes resulting in costly stockouts or unsellable returns.

What AI makes possible:

  • Analyze sales history by product, region, and pharmacy typology

  • Integrate exogenous variables: weather, public health events, local epidemics

  • Generate sales forecasts by point of sale or by zone

Why it is useful:

  • You adapt your volumes to actual demand, not a global estimate

  • You reduce the risk of overstocking or running out of stock

  • You improve your cash flow and your brand image, especially with pharmacies that are not used to managing unsold inventory

3. Personalize field sales pitches

The success of a brand in pharmacies relies heavily on the quality of the relationship between the representative and the pharmacist (or their team). Yet, many visits are still made with generic sales pitches, sometimes perceived as irrelevant or even intrusive.

What AI makes possible:

  • Generate customized pitches adapted to each pharmacy, based on past sales, specialties, or purchasing behaviors

  • Propose relevant cross-sell recommendations based on the categories already selected

  • Suggest promotion ideas linked to seasonality or local trends

Why it is useful:

  • Field sales interaction becomes more targeted, more legitimate, and more effective

  • Representatives save preparation time

  • The business relationship is strengthened because it is based on concrete facts

4. Leverage your sell-out data to drive your actions

More and more brands have access to their sell-out figures, through pharmacy groups, market panels, or specific agreements with wholesalers. But in reality, few actively leverage them.

Why? Because this data is high-volume, complex to interpret, and rarely translated into action plans.

What AI makes possible:

  • Automatically identify high-potential or underperforming products

  • Detect geographical areas that are growing or declining

  • Propose concrete actions: merchandising, promotions, product withdrawal, product relaunch, repositioning, etc.

Why it is useful:

  • You move from analysis to management

  • Your trade or marketing plans become more responsive and more precise

  • You move away from a "one size fits all" approach to adopt a strategy by segment, or even by pharmacy

5. Optimize promotional operations

Unlike superstores, promotions in pharmacies must be subtle and well thought out. Consumers look for advice and quality, not necessarily immediate discounts. And pharmacists are sometimes reluctant to engage in mechanics perceived as too commercial.

What AI makes possible:

  • Test different promotional mechanics based on pharmacy profiles: duo packs, delayed gifts, temporary discounts, etc.

  • Identify points of sale where a promotion has a real leverage effect on restocking or visibility

  • Adapt incentives to potential volumes or the projected acceptance rate

Why it is useful:

  • You maximize your promotional ROI

  • You avoid systematic discounts, which hurt your price positioning

  • You adapt your strategy to each pharmacy typology

6. Strengthen pharmacy team training

In pharmacies, product recommendations depend highly on the knowledge level of the teams. Yet, not all pharmacies have the same resources or the same level of training. And sales forces do not always have the time to cover everything during their visits.

What AI makes possible:

  • Generate targeted e-learning modules based on profiles (technician, lead pharmacist, assistant...)

  • Create quizzes or interactive learning paths

  • Track engagement and automatically send reminders to less active teams

Why it is useful:

  • You create a brand culture within the pharmacy

  • You improve organic recommendation of your products

  • You reward partner teams without overloading your internal resources

In a network as complex, human, and demanding as the pharmacy channel, artificial intelligence does not replace the commercial relationship. It enriches it, by providing teams with:

  • precision in targeting

  • personalization in messages

  • and efficiency in execution

But to achieve this, you still need to have the right tools.

This is exactly what Sidely delivers.

Our field CRM helps you structure your action plans, leverage your data intelligently, and empower your teams to make a bigger impact with every visit.

๐Ÿ‘‰ Want to see how Sidely can adapt to your pharmacy strategy? Request a personalized demo, and let's discuss your specific challenges.

Margot Bonhomme

Margot Bonhomme

Marketing & Communication Manager at Sidely

Margot has been working in Tech and SaaS for 8 years, with a multi-product experience that has given her a unique understanding of business challenges. On a daily basis, she analyzes, relentlessly tests, and relies on facts to shed light on market trends and help sales teams move forward.

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