IJACIS
Machine Learning For Intelligent Sales Prediction
Business is an activity where the main goal is to make more profit. Decision-making is the key to achieving this objective, the result depends on which decision was taken in the beginning. That's why the decision which will give the best outcome gets more priority. Though for ages people have relied on their intelligence and experience to make decisions, in recent times they have depended on technology because it analyzes much more efficiently and shows an approximate outcome of that decision. The study focuses on predictive models relating to sales projections for businesses. The collaboration of traditional methods and modern technology can bring the best possible outcome for a business. The study verifies the potential impact of the selected strategies on sales results and the potential increase in revenue. Through this analysis, the paper highlights the strategic significance of incorporating technology-driven insights rather than relying solely on personal experience. By assessing how technology shapes decision-making processes in sales contexts, this research contributes to the growing understanding of business strategies in a rapidly digitizing world. The findings underscore the benefits of technology for increasing business profitability. Ultimately, this study provides insights for practitioners and stakeholders to harness the power of technological tools for more informed and effective decision-making, thereby improving business performance.