Essays about: "prediktiv analys"

Showing result 1 - 5 of 17 essays containing the words prediktiv analys.

  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. Predicting the Impact of Supply Chain Disruptions Using Statistical Analysis and Machine Learning

    University essay from KTH/Matematisk statistik

    Author : Hannes Andersson; John Sjöberg; [2023]
    Keywords : Supply chain disruption; SMOTE; feature engineering; machine learning; random forest; statistics; applied mathematics; Störning i försörjningskedja; maskininlärning; matematik; statistik;

    Abstract : The dairy business is vulnerable to supply chain disruptions since large safety stocks to cover up losses are not always a viable option, therefore it is crucial to maintain a smooth supply chain to ensure stable delivery accuracies. Disruptions are unpredictable and hard to avoid in the supply chain, especially in cases where production errors cause lost production volume. READ MORE

  4. 3. A Predictive Analysis of Customer Churn

    University essay from KTH/Matematisk statistik

    Author : Olivia Eskils; Anna Backman; [2023]
    Keywords : Churn prediction; CRM; optimization; applied mathematics; machine learning; gradient boosting; random forest; logistic regression; insurance industry; Kundbortfall; CRM; optimering; tillämpad matematik; maskininlärning; gradient boosting; random forest; logistisk regression; försäkringsbranschen;

    Abstract : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. READ MORE

  5. 4. Urban Planning & Governance in the Age of AI : A Study of the Potential Benefits and Risks

    University essay from KTH/Skolan för arkitektur och samhällsbyggnad (ABE)

    Author : Jonas Gummesson; [2023]
    Keywords : Accountability; AI; Artificial Intelligence; Big Data; Cybernetics; Engagement; Equality; Governance; Neural Networks; Participation; Power; Smart City; Systems planning.; Transparency; Trust; Urban Design; Urban Planning;

    Abstract : Artificial intelligence (AI) is a rapidly developing technology which in this project refers to software that given objectives generate content, predictions, recommendations, or decisions influencing their environment. Using literature reviews and semi-structured interviews, the current and future uses, sentiments, regulations, and risks of AI in urban planning and governance are gathered. READ MORE

  6. 5. Unlocking the Potential of Business Intelligence in HR: Assessment of how maturity is to be developed : A case study

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

    Author : Berken Celik; O'bryan Gaete; [2023]
    Keywords : Business intelligence; human resources; BI maturity; predictive analysis; data-drive decision-making; BI factors; Business Intelligence; HR; BI-mognad; prediktiv analys; datadrivet beslutsfattande; BI-faktorer;

    Abstract : The rise of technology and digitalization has greatly impacted organizations, particularly in the field ofHuman Resources (HR). To stay competitive in this evolving landscape, HR departments are increasingly adopting Business Intelligence (BI) as a useful umbrella concept to collect, store, access, and analyze data for data-driven decision-making. READ MORE