IS Project Applications Due Date: 05/04/2026 at 11:59 PM

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Chat Application chat.html MCP Application mcp.html RAG Application rag.html

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Scenario: The Perishable Inventory Challenge at Love Point Deli
The Business

Love Point Deli, Wine, & Spirits is a busy neighborhood store that operates a high-volume deli counter featuring Boar's Head meats and freshly prepared salads. In addition, the store maintains a rotating inventory of beverages, including soft drinks, juices, craft beverages, and bottled drinks that are sensitive to demand fluctuations.

The Conflict

The store manager, Maria, spends several hours every week manually checking inventory levels and monitoring expiration dates for perishable goods. Recently, inefficiencies have led to overstocking certain deli items (resulting in waste and financial loss) while simultaneously running out of high-demand beverages during peak hours—especially before busy evenings and weekends. These issues negatively impact both revenue and customer satisfaction.

The Technical Challenge

Maria needs an intelligent system that goes beyond simple inventory tracking. The solution should analyze patterns, predict demand, and proactively make recommendations or take actions to optimize stock levels, reduce waste, and ensure popular items are always available.

Student Task: Propose a Solution

Design a solution using Agentic AI, Retrieval-Augmented Generation (RAG), or Model Context Protocol (MCP) to address one or more of the following:

  • Agentic AI: How can an intelligent agent proactively monitor beverage inventory and alert Maria before stock shortages occur during peak business hours?
  • RAG: How can a RAG-based system analyze historical sales, seasonal trends, and local events to accurately forecast demand for deli items and beverages?
  • MCP: How can MCP integrate data from existing systems (e.g., POS, supplier data, and external sources like weather forecasts) to provide real-time insights and automated decision-making?
Final Submission Instructions
  1. Propose a clear solution explaining how the problem can be solved using the technologies above, and submit your ideas in a PDF document.
  2. Submit your assignment on Blackboard by the due date. Email submissions and late submissions will not be accepted.