tpatil0412 / Dynamic-Pricing
This machine learning model (deep and wide learning model) helps us to implement dynamic pricing feature of a supply chain business problem. This model uses tensorflow to solve the problem and can be structured accordingly to run efficiently on Google Cloud Platform.
☆23Updated 7 years ago
Alternatives and similar repositories for Dynamic-Pricing:
Users that are interested in Dynamic-Pricing are comparing it to the libraries listed below
- A model algorithm to provide practical insights into pricing mechanisms☆21Updated 3 years ago
- Dynamic pricing for selling perishable goods☆64Updated 7 years ago
- Bandit algorithms for dynamic pricing of many products☆40Updated 5 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 5 years ago
- A Python library dedicated to Inventory Analytics☆21Updated last month
- Scripts inspired by book Inventory Optimization by Nicolas Vandeput.☆39Updated 4 years ago
- Application of Deep Reinforcement Learning to Supply Chain management. Reference: https://blog.griddynamics.com/deep-reinforcement-learni…☆10Updated 3 years ago
- Marketing Budget Optimization for Online Retailers using AI & Machine Learning.☆78Updated 5 years ago
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆35Updated 5 years ago
- Algorithms Library for Supply Chain Inventory Optimization☆16Updated 6 years ago
- Dynamic pricing of e-shop products through machine learning algorithms☆47Updated 4 years ago
- [BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis,…☆217Updated 6 years ago
- A study and comparison of Risk Modeling algorithms (Capstone Project)☆35Updated 6 years ago
- Streamlit Application for ABC Analysis & Product Segmentation☆16Updated 2 months ago
- 😎 awesome dynamic pricing 💵☆101Updated 2 years ago
- ☆36Updated 7 years ago
- Ensemble of ARIMA, prophet and LSTMS RNN☆35Updated 7 years ago
- A machine learning algorithm written to predict severity of insurance claim☆20Updated 8 years ago
- Tutorial on building a discrete-event simulation model using Python and Simpy and conducting a statistical analysis of the simulation out…☆18Updated 2 years ago
- ☆26Updated 9 years ago
- supply demmand gap prediction for ride-hailing☆76Updated 7 years ago
- Inventory Management for Retail — Stochastic Demand☆16Updated 2 months ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆30Updated 4 years ago
- multi-echelon inventory optimization with SimPy, SciPy, sklearn, and RBFOpt☆85Updated 6 years ago
- Thesis on Single-Agent Dynamic Pricing with Reinforcement Learning☆21Updated 5 years ago
- Jupyter Notebooks for supplychainpy☆22Updated 8 years ago
- Demand Forecasting Models for Kaggle competition☆81Updated 6 years ago
- Optimize revenues through pricing algorithm in python - Demand with uniform distribution☆29Updated 4 years ago
- Price Wars - A Simulation Platform for Dynamic Pricing Competition☆53Updated 6 years ago
- SohitKalluru / Forecasting-of-order-demand-in-warehouses-using-autoregressive-integrated-moving-average.Forecasting of order demand in warehouses using auto-regressive integrated moving average(ARIMA).☆23Updated 4 years ago