Gemma 2 AI Challenge

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VanishingGradients

Michail Panagopoulos

kiana hadysadegh

ZMelikeF

Michael Peres

ShelfCare GPA is a Gemma2-powered AI agent designed to automate and optimize pharmaceutical inventory management. By integrating advanced decision-making capabilities, real-time insights, and a streamlined interface, the system addresses inefficiencies in inventory tracking, procurement, and expiration management.
Key features include:
1.	Real-Time Monitoring: Tracks stock levels and alerts users to shortages and near-expiring products.
2.	Automated Procurement: Generates purchase orders based on inventory thresholds and predicts future needs using historical trends.
3.	Batch Expiration Management: Associates quantities with expiration dates to prevent waste and prioritize usage.
4.	On-Demand Summaries: Provides users with clear, actionable insights into inventory status and procurement history.
Business Value
ShelfCare delivers significant business value by:
•	Improving Efficiency: Automating manual inventory tasks, freeing up resources for other priorities.
•	Reducing Waste: Minimizing losses from expired products through expiration tracking and prioritization.
•	Ensuring Availability: Reducing the risk of critical stock shortages by predicting needs and automating reorders.
•	Scalability: Built to handle diverse inventory scenarios, making it adaptable to industries beyond healthcare.
For pharmacies and similar businesses, ShelfCare GPA not only reduces operational costs but also enhances reliability and customer satisfaction by ensuring products are always available when needed.
What It Solves
ShelfCare GPA tackles the inefficiencies of traditional inventory management by:
1.	Automating Repetitive Tasks: Automates stock tracking and order generation, reducing human error and manual workload.
2.	Improving Decision-Making: Uses AI to forecast inventory needs and prioritize replenishment based on critical factors like expiration dates and stock levels.

ShelfCare is a Gemma2-powered intelligent agent designed to transform pharmaceutical inventory management. It addresses critical challenges such as stock shortages, overstocking, and manual effort by combining AI-driven decision-making.

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