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Improving Productivity and Efficiency for Pharmacies through AI and Automation

Wednesday, December 06

9-10 AM PST 

On December 06th, Finarb Analytics hosted the webinar on " Improving Productivity and Efficiency for Pharmacies through AI and Automation".

Use cases that were discussed in the session

  • Computer-vision-enabled Pill Quality control - Validating Contents inside a packaged Pouch
  • Deep-learning models for Pill Error Detection - Detection and classification of broken pills, double pills, scratch-on pills etc 
  • Removing PHI information from labels, Label inspection, Detection of Debris
  • AI- based Prescription Routing
  • Using RWD to track adherence and monitoring
  • Predictive Maintenance (Remaining Useful Life and Error Prediction)
  • Pharmacy Automation in Dubai - AI based Inventory management and Logistics Routing
Speaker-Flash-card-3 (2)

Why attend?

This webinar aims to bring together professionals from Pharmacies, Pharmacy Automation Manufacturers,  Adherence Packaging Manufacturers to explore how AI and automation are reshaping the future of pharmaceutical quality assurance. We will delve into the transformative power of AI-driven computer vision systems and their role in achieving zero-defect products, achieving precise object detection and classification accuracy. By attending this event, you will gain valuable insights into:

  • Case Studies Discussion: Gain Insights from real-world instances showcasing the practical applications and impacts of AI/ML in a pharmacy environment/adherence packaging
  • Opportunity to Interact with Expert Speakers from Pharmacy, Pharmacy Automation and Data Science

Who attended?

  • CXOs, Director-QC, Quality Control Heads, and Inspection Heads from Large and Mid-sized Pharma Manufacturers
  • Director, Lead Director, Director-QA, Pharmacy managers from Lead Pharmacies, Mid-sized Pharmacies
  • Director of Quality Control, Head of Quality from Leading Adherence Packaging organizations


  • Introduction by Finarb
  • Case Discussions - 45 Min
    • Art Swanson (15): Medication Error Detection, Pill Inspection, and Classification
    • Anuj Chatterjee (15): Predictive Automation, Dispatch avoidance, Survival Analysis (RUL)
    • Adam Docrat (15): Business Impact of AI-driven Automation in Pharmacies
  • Audience Q&A: 10 Min


If you would like to know more or discuss our use cases in detail