Essays about: "consumer prediction"

Showing result 6 - 10 of 44 essays containing the words consumer prediction.

  1. 6. Demand Forecasting using Machine Learning Methods: An Empirical Study on Walmart Retail Sales Forecast

    University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomi

    Author : Yongjai Lee; [2023]
    Keywords : Demand forecasting; machine learning; time series; LSTM; ARIMA;

    Abstract : 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

  3. 7. The value of detailed product information in credit risk prediction : A case study applied to Klarna’s Pay Later orders in Sweden

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Mimmi Andersson; Louise von Sydow Yllenius; [2022]
    Keywords : Credit Risk Management; Consumer Credit; BNPL; Credit Scoring; Alternative Data; Product Category; Product Type; Responsible Lending; e-commerce; Kreditriskbedömning; BNPL; konsumenkredit; alternativ data; produktkategori; produkttyp; hållbar kreditgivning; onlinehandel;

    Abstract : In this study we propose to enhance the predictive power of a Buy Now, Pay Later (BNPL) consumer credit scorecard by leveraging detailed product information. The object of analys is in this study is Klarna Bank AB, which is the largest retail finance provider in Sweden. READ MORE

  4. 8. BNPL Probability of Default Modeling Including Macroeconomic Factors: A Supervised Learning Approach

    University essay from KTH/Matematisk statistik

    Author : Patrik Hardin; Robert Ingre; [2021]
    Keywords : Buy Now Pay Later; IFRS 9; Probability of Default; Expected Credit Loss; Macroeconomic factors; Machine Learning; Artificial Neural Network; XGBoost;

    Abstract : In recent years, the Buy Now Pay Later (BNPL) consumer credit industry associated with e-commerce has been rapidly emerging as an alternative to credit cards and traditional consumer credit products. In parallel, the regulation IFRS 9 was introduced in 2018 requiring creditors to become more proactive in forecasting their Expected Credit Losses and include the impact of macroeconomic factors. READ MORE

  5. 9. Using Multiple Linear Regression to Estimate Customer Profitability in Consumer Credits

    University essay from KTH/Matematisk statistik

    Author : Andreas Almgren; [2021]
    Keywords : Bachelor Thesis; Mathematical Statistics; Multiple Linear Regression; Consumer Credits; Customer Profitability; Adverse Selection; Strategic Marketing; Kandidatexamensarbete; Matematisk Statistik; Multipel Linjär Regression; Konsumentkrediter; Kundlönsamhet; Snedvridet urval; Marknadsföring;

    Abstract : In cooperation with a consumer credit company based in Stockholm, this bachelor thesis investigates if the customer profitability in the consumer credit market can be predicted with multiple linear regression. Data collected before the initial credit was accepted and data connected to the account activity of the customers' first nine months are analyzed. READ MORE

  6. 10. Damaged starch and dietary fibre content in Swedish wheat flour : PLS-modelling to predict baking volume

    University essay from SLU/Department of Molecular Sciences

    Author : Edvin Nåbo; [2021]
    Keywords : damaged starch; dietary fibre; bread volume; PLS;

    Abstract : SDmatic, SRC-CHOPIN 2 and Alveolab are used to evaluate flour, but not widely used in Sweden. This study aimed to evaluate the machines and see if they could be used to predict baking volume for bread baked on Swedish wheat flour. PLS-models were built with baking volume as the Y-variable. READ MORE