tpatil0412 / Dynamic-PricingLinks
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
Sorting:
- supply demmand gap prediction for ride-hailing☆76Updated 7 years ago
- [BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis,…☆233Updated 7 years ago
- A model algorithm to provide practical insights into pricing mechanisms☆24Updated 4 years ago
- Dynamic pricing for selling perishable goods☆64Updated 8 years ago
- Marketing Budget Optimization for Online Retailers using AI & Machine Learning.☆81Updated 5 years ago
- Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest…☆174Updated 6 years ago
- Python implementation to solve Vehicle Routing problem & Master Production Scheduling in Supply Chain Analytics & Design.☆71Updated 4 years ago
- Inventory Management for Retail — Stochastic Demand☆18Updated last week
- Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.☆35Updated 7 years ago
- multi-echelon inventory optimization with SimPy, SciPy, sklearn, and RBFOpt☆88Updated 6 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆79Updated 5 years ago
- Demand Forecasting Models for Kaggle competition☆88Updated 7 years ago
- Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on …☆310Updated 3 years ago
- This project tries to use AI, specifically reinforcement learning, to manage a stock portfolio. The objective is to be practical. So this…☆19Updated 6 years ago
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆40Updated 6 years ago
- Tutorial on building a discrete-event simulation model using Python and Simpy and conducting a statistical analysis of the simulation out…☆19Updated 3 years ago
- Bandit algorithms for dynamic pricing of many products☆43Updated 6 years ago
- Predict taxi trip duration based on historical trips using automated feature engineering☆62Updated 5 years ago
- Scripts inspired by book Inventory Optimization by Nicolas Vandeput.☆44Updated 4 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- Python Scripts that apply Operations Research (Mixed Integer Programming) to solve Shift Scheduling problems for workforces.☆76Updated last year
- Retail industry solutions for product price optimization using the Cortana Intelligence Suite with end-to-end walkthrough☆91Updated 8 years ago
- 😎 awesome dynamic pricing 💵☆119Updated 3 years ago
- Collection of some revenue management tools for python 3☆47Updated 2 years ago
- This is the code notebook for the blog post on using Python and Auto ARIMA☆103Updated 6 years ago
- Optimize revenues through pricing algorithm in python - Demand with uniform distribution☆33Updated 5 years ago
- ☆81Updated 3 years ago
- Geoffrey-Z / Multivariate-Time-Series-Forecasting-with-LSTMs-in-Keras-for-CORN-SWEET-Terminal-Market-Price☆16Updated 4 years ago
- Algorithms Library for Supply Chain Inventory Optimization☆17Updated 6 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆26Updated 6 years ago