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THE ROLE OF ARTIFICIAL INTELLIGENCE IN INVENTORY MANAGEMENT OPTIMIZATION: A CASE STUDY OF WUSE MARKET, ABUJA, FCT

  • Project Research
  • 1-5 Chapters
  • Abstract : Available
  • Table of Content: Available
  • Reference Style:
  • Recommended for :
  • NGN 5000

Background of the Study

Efficient inventory management is a critical aspect of successful business operations, particularly in dynamic marketplaces like Wuse Market in Abuja. Businesses in this market face challenges such as overstocking, understocking, and inventory mismanagement, leading to increased costs and lost sales opportunities.

Artificial Intelligence (AI) offers innovative solutions for optimizing inventory management. AI systems can analyze historical sales data, predict demand patterns, and provide actionable insights to improve inventory control. By leveraging AI, businesses can reduce waste, minimize stockouts, and ensure optimal stock levels, ultimately improving their profitability and customer satisfaction.

This study examines the role of AI in optimizing inventory management at Wuse Market. It focuses on how AI-driven tools, such as demand forecasting and automated inventory systems, can enhance business efficiency and performance.

Statement of the Problem

Inventory mismanagement is a common issue among businesses in Wuse Market, resulting in operational inefficiencies and financial losses. Traditional methods of inventory control are often inadequate in handling the complexities of a busy marketplace. This study investigates how AI tools can optimize inventory management and improve business outcomes in Wuse Market.

Aim and Objectives of the Study

Aim:
To assess the role of Artificial Intelligence in optimizing inventory management at Wuse Market, Abuja, FCT.

Objectives:

  1. To identify inventory management challenges faced by businesses in Wuse Market.

  2. To evaluate the effectiveness of AI tools in improving inventory control.

  3. To assess the impact of AI-driven inventory management on business efficiency and profitability.

  4. Research Questions

  5. What are the inventory management challenges faced by businesses in Wuse Market?

  6. How can AI tools optimize inventory control and improve efficiency?

Research Hypotheses

  1. AI-driven inventory management reduces stockouts and overstocking in Wuse Market.

  2. The use of AI tools improves inventory tracking and decision-making for businesses.

  3. AI-optimized inventory management enhances profitability and customer satisfaction.

Significance of the Study

This study provides valuable insights into how AI tools can transform inventory management for businesses in Wuse Market. Its findings offer practical recommendations for adopting AI solutions to enhance operational efficiency and improve market competitiveness.

Scope and Limitation of the Study

The study focuses on the role of AI in inventory management for businesses in Wuse Market, Abuja. Limitations include the study's concentration on a single marketplace and potential challenges in obtaining detailed business data.

Definition of Terms

  1. Artificial Intelligence (AI): Technology that uses algorithms and data to optimize decision-making and automate processes.

  2. Inventory Management: The process of overseeing and controlling stock levels to ensure optimal business operations.

  3. Optimization: The process of making systems or processes as effective and efficient as possible.

 

 

 

 





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