Demand Forecasting System Development
Budget: ₹600 – ₹1,500 INR
I'm seeking a professional who can create an advanced demand forecasting system. This system will utilize historical sales data and market trends to optimize our inventory and enhance our supply chain efficiency.
Usecase:
Demand Forecasting System for Optimizing Inventory and Supply Chain Efficiency Using Historical Sales Data.
Problem Statement:
The company has accumulated transactional data from December 2021 to December 2023, consisting of stock code, transaction dates, and quantities sold and etc. The company requires a system to forecast the demand for the next 15 weeks for its top 10 best-selling products. The goal is to estimate future demand accurately to maintain optimal stock levels, ensuring that the supply chain remains efficient and meets customer demands. The solution should leverage the historical data to predict future demand trends and support inventory management decisions.
Data:
Transactional_data_retail01.csv, Transactional_data_retail_02.csv, CustomerDemographics.csv, ProductInfo.csv
Deliverables:
Design an app that shows the forecasted values for the next few weeks based on the user-input stock id, no. of weeks and allows the download of a CSV file
Note:
• Perform necessary preprocessing • Derive the attributes depending on the requirement • Come up with a validation strategy for better generalization of model. • Assumptions could be made based on domain understanding.
Usecase:
Demand Forecasting System for Optimizing Inventory and Supply Chain Efficiency Using Historical Sales Data.
Problem Statement:
The company has accumulated transactional data from December 2021 to December 2023, consisting of stock code, transaction dates, and quantities sold and etc. The company requires a system to forecast the demand for the next 15 weeks for its top 10 best-selling products. The goal is to estimate future demand accurately to maintain optimal stock levels, ensuring that the supply chain remains efficient and meets customer demands. The solution should leverage the historical data to predict future demand trends and support inventory management decisions.
Data:
Transactional_data_retail01.csv, Transactional_data_retail_02.csv, CustomerDemographics.csv, ProductInfo.csv
Deliverables:
Design an app that shows the forecasted values for the next few weeks based on the user-input stock id, no. of weeks and allows the download of a CSV file
Note:
• Perform necessary preprocessing • Derive the attributes depending on the requirement • Come up with a validation strategy for better generalization of model. • Assumptions could be made based on domain understanding.
Related categories:
Machine Learning (ML)
Web Hosting
Data Science
Time Series Forecasting
Time Series Analysis