Sales Forecasting System using Data Analytics

Author(s)	Harini S, Angelin Rosy M
Country	India
Abstract	Looking ahead, companies can guess what their sales might be by checking old numbers and spotting repeating ups and downs. Instead of guessing, a smart setup uses number-crunching tools to turn last year's sales into solid guesses for next month. Old ways usually rely on someone’s best guess - this opens the door to mistakes and plans that miss the mark; meanwhile, crunching real stats brings sharper results. With clearer forecasts, teams adjust orders wisely, keep shelves balanced, and avoid being stuck with too much - or running empty. Reports pop up showing charts and summaries, letting leaders see how things moved and where they’re likely headed. Forecasting tools help businesses in areas such as online shopping and stores manage what they need before it's too late. Later on, these systems could work better if they learn from new patterns while things happen, adjusting fast without delays.
Keywords	Sales Forecasting, Data Analytics, Predictive Analysis, Historical Sales Data, Business Intelligence, Inventory Management, Machine Learning
Field	Computer Applications
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-13

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