1. DESIGN AND IMPLEMENTATION OF A SALES FORECASTING SYSTEM USING LINEAR REGRESSION MODEL
OBJECTIVE OF STUDY
In view of the problems mentioned above, this project is aimed at implementing a sales forecasting system using linear regression model and with an added POS system
- Manage and forecast sales <...
2. THE IMPACT OF SALES FORECASTING ON BUSINESS PLANNING
THE IMPACT OF SALES FORECASTING ON BUSINESS PLANNING
This study examines the impact of sales forecasting on business planning. Objectives include: (1) evaluating the accuracy of sales forecasts, (2) analyzing the role of sales forecasti...
3. An Appraisal of the Implementation of Artificial Intelligence in Sales Forecasting: A Study of Retail Businesses in Plateau State
Background of the Study
Artificial intelligence (AI) has the potential to revolutionize sales forecasting by analyzing large datasets, identifying patterns, and predicting future trends with greater accuracy (Smith & Rogers, 2024). Retail businesses in Plateau State...
4. An Evaluation of Business Intelligence Applications in Revenue Growth Strategies: A Study of Online Retailers in Kaduna State
Background of the Study
Business intelligence (BI) tools have become essential for online retailers to drive growth and make informed strategic decisions. These tools leverage data analytics, data mining, and reporting capabilities to help organizations...
5. The Impact of Machine Learning Algorithms on Sales Forecasting: A Case Study of Supermarkets in Benue State
Background of the Study
Accurate sales forecasting is essential for effective inventory management, financial planning, and overall business success. Machine learning (ML) algorithms, which leverage large datasets to predict future sales patterns, have...
6. An evaluation of sales forecasting methods in Nigerian retail businesses: A case study of supermarkets in Zamfara State
Background of the Study
Sales forecasting is a critical component of retail business strategy, particularly for supermarkets that need to efficiently manage inventory, staff, and promotional activities. Accurate sales forecasting helps...
7. An appraisal of the role of data analytics in improving retail decision-making: A study of retail businesses in Bauchi State
Background of the study
In recent years, data analytics has emerged as a powerful tool in retail business management, providing actionable insights that help businesses make informed decisions to improve operations, optimize pricing, enhance customer experience, and increa...
8. An Assessment of Sales Forecasting Techniques in Retail Business Success: A Case Study of Grocery Stores in Kebbi State
Background of the Study
Sales forecasting is a critical aspect of retail management, as it allows businesses to predict future sales trends and make informed decisions regarding inventory, staffing, and marketing strategies. For grocery stores in Kebbi State, accurate sale...
9. An Assessment of Sales Forecasting Techniques in Retail Business Success: A Case Study of Grocery Stores in Kebbi State
Background of the Study
Sales forecasting is a critical aspect of retail management, as it allows businesses to predict future sales trends and make informed decisions regarding inventory, staffing, and marketing strategies. For grocery stores in Kebbi State, accurate sale...
10. An Appraisal of the Implementation of Artificial Intelligence in Sales Forecasting: A Study of Retail Businesses in Plateau State
Background of the Study
Artificial intelligence (AI) has emerged as a transformative tool in sales forecasting, enabling businesses to analyze vast amounts of data, identify trends, and make accurate predictions. By employing AI techniques such as machine learning, predictive analytics,...
