Advanced AI Technology for Predicting Amazon Success
Harness the power of AI, data science, and predictive modeling to make informed, data-driven decisions for your Amazon business.
Learn More in Our White PaperComprehensive Data Collection and Processing
At PeakPicks AI, we collect all possible data about products using the Keepa service, processing over 100+ parameters for each product. We also supplement this data with insights from Google Trends, allowing us to provide a full picture of product popularity and demand patterns.
Keepa Integration
Detailed tracking of price history, sales ranks, and other key product metrics.
Google Trends
Incorporating search trends to gauge real-world interest and demand shifts.
Amazon Opportunity Explorer
Collecting source data directly from Amazon's Opportunity Explorer to identify emerging opportunities.
AI Models for Sales Prediction and Classification
Our AI models are built to assess and predict sales trends in real-time, enabling sellers to make informed decisions based on the most accurate data available.
Sales Prediction Model
We’ve developed a model that assesses sales at any given moment based on 100+ product parameters, providing real-time insights into sales potential.
Classification model
Our product classification model predicts which products' sales ranks will rise or fall. With an accuracy rate of over 85%, you can confidently identify the winning products.
Regression Model for Monthly Forecasting
Our regression model predicts key product indicators up to 1 month in advance. We use the WAPE (Weighted Absolute Percentage Error) metric to measure the model's accuracy, with a WAPE of around 20%. This means our predictions are highly reliable for estimating sales, prices, and demand.
WAPE Explanation
WAPE measures the accuracy of forecasts by comparing predicted values to actual results. A lower WAPE indicates better performance, and our 20% WAPE ensures a high level of accuracy in our predictions.
Advanced Product Evaluation with Custom Filters
Our evaluation system applies a combination of filters and metrics, each weighted differently, to score products. By taking into account price trends, demand, competition, and other key metrics, we ensure that only the best products are recommended.
Weighted Filters
Apply filters such as sales rank, reviews, and price history to prioritize high-potential products.
Product Scoring
Products are ranked and scored based on their potential for profitability, factoring in weighted data points.
Seamless Integration with Alibaba and ChatGPT
PeakPicks AI integrates with Alibaba, allowing us to find similar products based on images and descriptions, and pull real-time purchase prices from suppliers. We also integrate with ChatGPT to validate data at various stages, ensuring that recommendations are consistent and aligned with market trends.
Alibaba Integration
Find similar products and get supplier prices, enabling more competitive sourcing.
ChatGPT Integration
Using AI to validate recommendations and ensure accuracy in product assessments.
Predict the Future with PeakPicks AI
Our technology allows you to predict which products will perform well and which will decline, based on current market data and trends. With our AI models, you’ll always be several steps ahead of the competition, positioning yourself to maximize sales and profits.
Stay Ahead
Leverage AI-powered forecasts to consistently make the right decisions, ensuring your success in a competitive marketplace.
Explore the Science Behind Our Technology
For those interested in the technical details of how our AI models work, download our comprehensive white paper. This document provides an in-depth, scientific explanation of our data collection methods, model architecture, and the algorithms driving our product forecasts.
See Our White Paper