Essays about: "forecasting retail sales"
Showing result 1 - 5 of 16 essays containing the words forecasting retail sales.
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1. Demand Forecasting using Machine Learning Methods: An Empirical Study on Walmart Retail Sales Forecast
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : Economists put considerable effort and research into demand estimation, modeling consumer be- havior uncovering causal relationships between product attributes, consumer preferences, prices, and demand. However, demand forecasting is less explored in the economics literature. READ MORE
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2. Explainability of Machine Learning in Forecasts for Retail Sales Campaigns
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Explainable artificial intelligence is a growing field which is becoming increasingly important as machine learning is more integrated in businesses and various functions in society. A rising concern is the lack of transparency in decision-making processes for a substantial number of machine learning models. READ MORE
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3. Comparison and evaluation of time series forecasting models and their application in beauty retailing
University essay from Högskolan Dalarna/InformatikAbstract : The beauty industry has shown steady growth within the last decade and as more retailers move their product selections online, a lot of sales data can be generated. To improve sales and to meet the ever-increasing competition in the beauty retail sector, time series forecasting has potential in providing knowledge and guidelines in decision making to improve business performance. READ MORE
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4. High Frequency Demand Forecasting : The Case of a Swedish Pharmacy Retailer
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Predicting future sales can bring many advantages to retailers with regards to organizational performance. Using big data to make accurate forecasts can enable retailer to improve their operational performance and profitability substantially by reducing lost sales, inventory levels and labor costs. READ MORE
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5. Probabilistic Forecast of Time Series with Transformers and Normalizing Flows
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Today, machine learning has many applications and is used in different fields and industries. One of its applications is demand forecasting. Future demands play a vital role in any industry. It can help the organization from planning to making the stock levels available to the customer when required. READ MORE