Our ML models analyze historical pricing patterns to predict future price movements with confidence intervals.
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We analyze 60+ days of pricing history from all major Australian retailers to identify trends and patterns.
Machine learning algorithms detect cyclical patterns, seasonal trends, and price volatility for each product.
Predictions come with confidence levels. Higher confidence means more historical data points confirm the pattern.
Based on trend, volatility, and predicted price, we recommend: buy now, wait for drop, buy soon, or avoid (high volatility).
Accuracy varies by product. Electronics and seasonal items have stronger patterns (78-82% confidence), while volatile products may be 65-70% confident. Confidence intervals show the predicted range.
Confidence (0-1 scale) represents how well historical patterns align with the prediction. 0.8+ = very confident, 0.6-0.8 = moderately confident, <0.6 = lower confidence.
Buy Now: Best price likely now. Wait for Drop: Strong downward trend predicted. Buy Soon: Stable price, unlikely to drop significantly. High Volatility: Too unpredictable, risky to buy.
Yes! Especially for high-ticket items like electronics and appliances where price patterns are clearer. Use the confidence interval as a guide for decision-making.
Predictions are recalculated daily as new pricing data arrives. We analyze the last 60-90 days of history for each product.
Predictions are based on real price data from 100+ major Australian retailers including JB Hi-Fi, Bunnings, Officeworks, Amazon AU, and more. More historical data = more accurate predictions.