PeakLab
Pharmaceutical distribution

ODD Pharma

Pharmaceutical distribution & data analysis

x10
Processing capacity
75%
Time saved
x4
ROI in 3 months

Global context

ODD Pharma is a key player in independent pharmaceutical distribution in France, specializing in purchase optimization and commercial data enhancement for pharmacists. Their mission: enable pharmacies to maximize their margins while simplifying their daily management. With over 30 partner pharmacies and a model based on detailed purchase flow analysis, ODD Pharma has established itself as a strategic partner for pharmacists looking to regain control of their profitability.

Problems and challenges

Operational bottleneck

The ODD Pharma team spent several hours per pharmacy manually retrieving purchase invoices from wholesaler portals, then analyzing them in Excel. This time-consuming process drastically limited their ability to onboard new clients.

Digitalization challenge

The challenge was twofold: automate data collection from heterogeneous platforms (Alliance Healthcare, CERP, Phoenix...) and develop an intelligent analysis solution capable of transforming raw data into actionable insights.

Business challenges

To scale up, ODD Pharma needed to:

  • Multiply their processing capacity by 10
  • Offer a white-label tool to their pharmacist clients
  • Industrialize their processes while maintaining analysis quality

Positioning and strategy

Our approach consisted of creating a robust and scalable technical infrastructure, capable of automating the entire value chain: from data retrieval to personalized report generation.

1

Retrieval automation

Development of intelligent scrapers capable of connecting to various wholesaler portals and automatically retrieving invoices

2

AI analysis engine

Creation of analysis algorithms to identify purchase optimization opportunities

3

Management dashboard

Intuitive interface allowing ODD Pharma and their clients to visualize data and insights in real-time

4

Report generation

Automated system for creating personalized reports for each partner pharmacy

The technical solution

Scraping microservice

Distributed architecture enabling automatic invoice retrieval from over 10 different wholesaler portals, with authentication and anti-bot management.

AI analysis engine

Machine learning algorithms for purchase pattern analysis, anomaly detection, and savings opportunity identification.

Consolidated dashboard

Centralized management interface providing a 360° view of each pharmacy's activity: purchases, margins, recommendations.

White-label solution

Customizable platform allowing ODD Pharma to offer the tool directly to their clients under their own brand.

Automated exports

Automatic PDF and Excel report generation, with scheduled delivery to pharmacists and accounting tool integration.

Stack technique

Next.jsTypeScriptPythonPostgreSQLRedisDockerAWS

Results achieved

Indicateur
Avant
Après
Gain
Processing time per file
1 hour
15 minutes
-75%
Client capacity per employee
30 pharmacies
300 pharmacies
x10
Data entry errors
5-10%
<1%
-90%
Report delivery time
1 week
24 hours
-85%
x4
ROI in 3 months
+30
Connected pharmacies
+100K€
ARR generated in year 1

ODD Pharma's growth significantly accelerated thanks to this new infrastructure, enabling them to transition from an artisanal model to a truly scalable SaaS platform.

We went from 1 hour per file to 15 minutes. The tool allowed us to multiply our processing capacity by 10 while improving the quality of our analyses. ROI was achieved in 3 months.
Victor Ottavi
Victor Ottavi
CEO at ODD Pharma

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