This project focuses on analyzing product sales in relation to changes in pricing over time. The primary goal is to calculate the final sale price of products by comparing the timing of sales against price updates, ensuring that each sale reflects the correct price based on when the order was placed.
This project is especially valuable for businesses that frequently update their prices and want to understand how these changes impact sales and revenue over time.
- 🔄 Price Dynamics: This project examines how changes in product prices affect sales revenue, specifically determining which price (old or new) should apply to each sale.
- 🕒 Temporal Analysis: A time-based analysis is performed, comparing the timestamp of sales orders to price update times, ensuring that each sale reflects the price in effect at the time of the order.
- 🏷️ Determine Final Prices for Sales: Assign the correct price (either the old or updated price) to each sale, depending on when the order occurred relative to the price change.
- 💰 Revenue Calculation: Accurately calculate the total revenue generated by applying the correct price to each sale.
- 📉 Analyze Price Change Impact: Understand how pricing changes impact sales and overall revenue.
- 📅 Time-based Merging of Sales and Price Data: Combine sales data with price change information to match each sale with its corresponding price, based on the order time.
- 🧮 Calculation of Final Prices: Use logical rules to determine whether the old or new price applies to a sale, depending on the timing of the price update.
- 💸 Revenue Analysis: Utilize final prices to compute total revenue and provide insights into how price changes affect revenue.
- ⏳ Impact of Price Timing: Assess whether the timing of price updates in relation to sales significantly affects revenue.
- 📈 Price Elasticity: Discover how changes in prices influence sales volume and revenue.
- 🔎 Sales Pattern Analysis: Identify patterns of sales before and after price changes.
- 🚀 Revenue Optimization: Help businesses decide on the best times to adjust prices to maximize revenue.