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Canada Optimal Product Price Prediction Dataset

Scraped dataset from Amazon Canada, with price prediction in focus

@kaggle.asaniczka_canada_optimal_product_price_prediction

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About this Dataset

Canada Optimal Product Price Prediction Dataset

This dataset contains product prices from Amazon Canada, with a focus on price prediction. With a good amount of data on what price points sell the most, you can train machine learning models to predict the optimal price for a product based on its features and product name.

If you find this dataset useful, make sure to show your appreciation by upvoting! ❤️✨

Inspirations

This dataset is a superset of my Amazon Canada product price dataset. Another inspiration is this competition that awareded 100K Prize Money

What To Do?

  • Your objective is to create a prediction model that will assist sellers in pricing their products within the optimal price range to generate the most sales.
  • The dataset includes various data points, such as the number of reviews, rating, best seller status, and items sold last month.
  • You can select specific factors (e.g., over 100 reviews = optimal price for the product) and then divide the dataset into products priced optimally vs products priced unoptimally.
  • By utilizing techniques like vectorizing product names and features, you can train a model to provide the optimal price for a product, which sellers or businesses might find valuable.

How to know if a product sells?

  • I would prefer to use the number of reviews as a metric to determine if a product sells. More reviews = more sales, right?
  • According to one source only 1-2% of buyers leave a review
  • So if we multiply the reviews for a product by 50x, then we would get a good understanding how many units has sold.
  • If we then multiple the product price by number of units sold, we'd get the total revenue generated by the product

How is this useful?

  • Sellers and businesses can leverage your model to determine the optimal price for their products, thereby maximizing sales.
  • Businesses can assess the profitability of a product and plan their supply chain accordingly.

Tables

Amz Ca Price Prediction Dataset

@kaggle.asaniczka_canada_optimal_product_price_prediction.amz_ca_price_prediction_dataset
  • 206.14 MB
  • 2666481 rows
  • 9 columns
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CREATE TABLE amz_ca_price_prediction_dataset (
  "uid" BIGINT,
  "asin" VARCHAR,
  "title" VARCHAR,
  "stars" DOUBLE,
  "reviews" BIGINT,
  "price" DOUBLE,
  "category" VARCHAR,
  "isbestseller" BOOLEAN,
  "boughtinlastmonth" BIGINT
);

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