Demand Forecasting in Supply Chain Management for Rossmann Stores Using Weather Enhanced Deep Learning Model
<p dir="ltr">Demand forecasting is one of the essential aspects of supply chain management, as it is linked with the financial performance of the organization. In the retail industry, it is essential to have more accurate forecasts to make suitable decisions. Therefore, the selection...
محفوظ في:
| المؤلف الرئيسي: | Nameer Ul Haq Qureshi (22224652) (author) |
|---|---|
| مؤلفون آخرون: | Salman Javed (14811667) (author), Kamran Javed (21726248) (author), Syed Meesam Raza Naqvi (22224655) (author), Ali Raza (3558965) (author), Zubair Saeed (19325647) (author) |
| منشور في: |
2024
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
MCDFN: supply chain demand forecasting via an explainable multi-channel data fusion network model
حسب: Md Abrar Jahin (20108252)
منشور في: (2025) -
Temporal Machine Learning Payload Prediction for DJI Matrice 100 Quadcopter Drone Based on Tracking Data
حسب: Kashkash, Mariam
منشور في: (2024) -
Hand-Crafted Features with Simple Deep Learning Architectures for Human Activity Recognition
حسب: Albadawi, Yaman Sufian
منشور في: (2024) -
Hand-Crafted Features With A Simple Deep Learning Architecture For Sensor-Based Human Activity Recognition
حسب: Albadawi, Yaman
منشور في: (2024) -
Knowledge-based Deep Learning for Modeling Chaotic Systems
حسب: Elabid, Zakaria
منشور في: (2022)