Unlocking Sales Predictions: How aiQ Retailer Enhances Accuracy (July 29, 2025)

We’re excited to share how the aiQ Retailer dataset empowers predictive accuracy for monthly sales.

Unlocking Sales Predictions: How aiQ Retailer Enhances Accuracy (July 29, 2025)

In today’s fast-paced retail environment, accurate sales forecasting is crucial for seeking alpha in investment. We’re excited to share how the aiQ Retailer dataset empowers predictive accuracy for monthly sales.

What is aiQ Retailer?

aiQ Retailer is a robust dataset, representing the largest source of Japan consumer receipt data, sampled directly from retailers. It’s a key component of our comprehensive alternative data lineup designed for the Japanese market.

Key features of aiQ Retailer:

  • Coverage: Over 120 tickers in the Retail Trade Sector, Supermarkets, Convenience Stores, Drug Stores, Home Improvement Stores, and Consumer Staples.
  • Scale: 70,000 panels that provide a broad and deep view of consumer behavior.
  • Timeliness: Data is available within T+3 business days, ensuring you have the latest insights.
  • Quality: Sourced from the most prominent consumer research firm in Japan, ensuring a carefully balanced panel designed to represent the consumer economy.

Enhancing Monthly Sales Predictions

One of the most potent applications of aiQ Retailer is its ability to improve monthly sales prediction models significantly. By incorporating aiQ Retailer data, our “Sales + aiQ” model consistently outperforms traditional sales prediction models that use only company disclosures.

Case Study: COSMOS Pharmaceutical (3349 JT Equity)

Consider COSMOS Pharmaceutical, a major mega-drugstore chain. Our analysis shows a strong correlation (0.9) between aiQ Retailer’s Year-over-Year (YoY) sales data and their disclosed monthly sales. This demonstrates the dataset’s ability to provide a reliable early indicator of company performance.

Monthly Trends in aiQ Retailer Sales Data and Disclosed Monthly Sales
Distribution of correlation (aiQ Retailer Sales Data vs Disclosed Monthly Sales)

The “Sales + aiQ” Advantage

Our model, when augmented with aiQ Retailer features, consistently achieves higher forecast accuracy. A comparison of Mean Absolute Error (MAE) distribution across covered tickers confirms this improvement across the board.

Distribution of Mean Absolute Error(MAE) by Ticker – Sales Only
Distribution of Mean Absolute Error(MAE) by Ticker – Sales + aiQ

The majority of tickers show correlations greater than 0.5 between our “Sales + aiQ” monthly sales predictions and disclosed monthly sales.

Distribution of Correlation (aiQ Predictions vs Monthly Sales Disclosed) by ticker

Discover More

We invite you to explore the power of aiQ Retailer through a data trial. You can also access sample Jupyter Notebooks that delve into detailed correlations and prediction methodologies.

Stay ahead of the curve with aiQ Retailer!

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