Essays about: "försäljningsprognoser"

Showing result 1 - 5 of 6 essays containing the word försäljningsprognoser.

  1. 1. Sales forecasting for supply chain using Artificial Intelligence

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Vaibhav Mittal; [2023]
    Keywords : AI; sales forecasting; supply chain; predictive analytics; AI; försäljningsprognoser; supply chain; predictiv analys;

    Abstract : Supply chain management and logistics are two sectors currently experiencing a transformation thanks to the advent of AI(Artificial Intelligence) technologies. Leveraging predictive analytics powered by AI presents businesses with novel opportunities to streamline their operations effectively. READ MORE

  3. 2. Forecasting Volume of Sales During the Abnormal Time Period of COVID-19. An Investigation on How to Forecast, Where the Classical ARIMA Family of Models Fail

    University essay from KTH/Matematisk statistik

    Author : Christina Ghawi; [2021]
    Keywords : Time series forecasting; ARIMA family of models; abnormal time period; extreme events; COVID-19 pandemic; time series outliers;

    Abstract : During the COVID-19 pandemic, customer shopping habits have changed. Some industries experienced an abrupt shift during the pandemic outbreak while others navigate in new normal states. For some merchants, the highly-uncertain new phenomena of COVID-19 expresses as outliers in time series of volume of sales. READ MORE

  4. 3. Hierarchical sales forecasting using Recurrent Neural Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Shiva Besharat Pour; [2020]
    Keywords : ;

    Abstract : Sales forecasting equips businesses with the essential basis for planning future investments, controlling costs, and production. This research is in cooperation with a property development company for the purpose of improving the accuracy of manual sales forecasting. READ MORE

  5. 4. Forecasting Daily Supermarkets Sales with Machine Learning

    University essay from KTH/Optimeringslära och systemteori

    Author : Daniel Fredén; Hampus Larsson; [2020]
    Keywords : Statistics; applied mathematics; machine learning; retail industry; time-series; forecasts; neural network; XGBoost; ARIMA; ARIMAX; Facebook Prophet; Prophet; LSTM; Statistik; tillämpad matematik; maskininlärning; livsmedelsindustrin; prognostisering tidsserier; neurala nätverk; XGBoost; ARIMA; ARIMAX; Facebook Prophet; Prophet; LSTM;

    Abstract : Improved sales forecasts for individual products in retail stores can have a positive effect both environmentally and economically. Historically these forecasts have been done through a combination of statistical measurements and experience. READ MORE

  6. 5. Improving sales forecast accuracy for restaurants

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Rickard Adolfsson; Eric Andersson; [2019]
    Keywords : ;

    Abstract : Data mining and machine learning techniques are becoming more popular in helping companies with decision-making, due to these processes’ ability to automatically search through very large amounts of data and discover patterns that can be hard to see with human eyes. Onslip is one of the companies looking to achieve more value from its data. READ MORE