Discover when prices typically drop. Analyze patterns by day of week, time of month, and season.
Identify which days offer the best prices
Spot discounts by time of month
Plan purchases around peak discount seasons
365+ days of price history
Find trends by day, week, month, season
Identify best buying windows
Actionable recommendations
We analyze 365+ days of price history (1 year) to identify reliable patterns. More history = more accurate predictions.
Our model achieves ~78% accuracy for typical products. Accuracy varies by product volatility and market conditions. Use as a guide, not a guarantee.
Yes. We track seasonal variations and adjust predictions accordingly. Black Friday, Boxing Day, and back-to-school are major discount events.
Yes, but reliability varies. Fast-moving tech (phones, laptops) show strong patterns. Fashion and seasonal items may have less predictable cycles.
New products have limited history. We start showing predictions after 90+ days of price data. Initial predictions are less accurate.
Some do, but competitive pressure usually enforces these patterns. Expect variations but overall trends remain consistent across retailers.