Sökning: "Sales forecasting"

Visar resultat 1 - 5 av 106 uppsatser innehållade orden Sales forecasting.

  1. 1. Does industry survey data improve GDP forecasting?

    Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionen

    Författare :Oscar Andersson; Ludvig Fornstedt; [2024-03-06]
    Nyckelord :Bayesian; BVAR; Forecasting; GDP; survey data;

    Sammanfattning : This study assesses the integration of industry survey data into Bayesian Vector Auto Regressive (BVAR) models for GDP forecasting in Sweden. Analyzing a combination of macro economic indicators, CPI and unemployment rates, with survey data from NIER, it explores the effects of different variable combinations on the forecasting ability of different models. LÄS MER

  3. 2. Forecasting With Feature-Based Time Series Clustering

    Master-uppsats, Jönköping University/Tekniska Högskolan

    Författare :Conrad Tingström; Johan Åkerblom Svensson; [2023]
    Nyckelord :demand forecasting; time series prediction; time series clustering;

    Sammanfattning : Time series prediction plays a pivotal role in various areas, including for example finance, weather forecasting, and traffic analysis. In this study, time series of historical sales data from a packaging manufacturer is used to investigate the effects that clustering such data has on forecasting performance. LÄS MER

  4. 3. Sales forecasting for supply chain using Artificial Intelligence

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Sammanfattning : 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. LÄS MER

  5. 4. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

    Författare :Stella Jarlöv; Anton Svensson Dahl; [2023]
    Nyckelord :demand forecasting; data augmentation; time series data; machine learning; restaurant industry; generative adversarial networks; TimeGAN; XGBoost;

    Sammanfattning : This study aims to enhance the accuracy of a demand forecasting model, XGBoost, by incorporating synthetic multivariate restaurant time series data during the training process. The research addresses the limited availability of training data by generating synthetic data using TimeGAN, a generative adversarial deep neural network tailored for time series data. LÄS MER

  7. 5. Understanding Sales Performance Using Natural Language Processing - An experimental study evaluating rule-based algorithms in a B2B setting

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Angelica Smedberg; [2023]
    Nyckelord :NLP; Sentiment Analysis; Ruled-based algorithms; TextBlob; VADER; Naïve Bayes; Machine Learning;

    Sammanfattning : Natural Language Processing (NLP) is a branch in data science that marries artificial intelligence with linguistics. Essentially, it tries to program computers to understand human language, both spoken and written. Over the past decade, researchers have applied novel algorithms to gain a better understanding of human sentiment. LÄS MER