You will get Price Elasticity & Pricing Analytics for Revenue Optimization
Project details
I will analyze your sales and pricing data to measure price elasticity, understand how price changes affect demand, and identify opportunities to optimize pricing and revenue. The analysis can include demand-price relationships, elasticity estimation, price sensitivity, revenue impact, and recommended pricing scenarios. You will receive clear visualizations, actionable insights, and the analysis/model source code based on your selected package.
Machine Learning Tools
pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, SQL, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$50
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 14 days |
Number of Revisions | 3 | 3 | 5 |
Number of Model Variations | 2 | 3 | 3 |
Number of Scenarios | 2 | 3 | 5 |
Number of Graphs/Charts | 2 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
About Ashlesh
Data Cleaning| Data analysis| Visualization| Machine Learning
Bengaluru, India - 1:05 am local time
Data and Analytics professional with 6+ years of experience in retail analytics, data science, and business insights. Expertise in
leveraging statistical modeling, forecasting, Time series and clustering techniques to drive operational efficiency and strategic
decision-making. Proven ability to collaborate cross-functionally, streamline operations, and enhance profitability using
advanced analytics.
Steps for completing your project
After purchasing the project, send requirements so Ashlesh can start the project.
Delivery time starts when Ashlesh receives requirements from you.
Ashlesh works on your project following the steps below.
Revisions may occur after the delivery date.
: Data Preparation & Quality Check
I will review and prepare your pricing and sales data, handling missing values, duplicates, outliers, inconsistent prices, and data-quality issues.
Price & Demand Analysis
I will analyze the relationship between price and quantity sold across products, categories, and other relevant segments.