Demand forecasting
Predicts product demand from search volume and trend signals.
Amz Calculus scans the product catalog of companies that manufacture and sell in Turkey; it analyzes demand, competition and margin to score which products will succeed on Amazon US. Not a guess, data.
Amz Calculus is a product selection and profitability analysis tool for Amazon. It scans the catalog of companies that manufacture and sell in Turkey, analyzes demand, competition and margin data, and scores which products will succeed in the Amazon US market. The data behind each score is visible.
Scans your catalog and the Amazon US market together; matches products, categories and competitors.
Models demand, competitive density and margin, giving each product a 0-100 US success score.
Ranks products by potential; moves the winners in the opportunity zone to the top.
Recommends what to sell, when and at what price, with an explainable rationale.
Predicts product demand from search volume and trend signals.
Measures listing count, review strength and saturation together.
Deducts product, shipping, FBA and commission costs to calculate net margin.
Finds high-demand, low-competition search terms.
Maps how demand fluctuates through the year and identifies peak months.
Flags unfilled niches where demand exists but supply is weak.
Reduces all signals to a single, comparable 0-100 score.
Every score is shown together with the data and reasons behind it.
Let’s evaluate the user structure, integration needs and, if any, options to adapt it to your brand.
Amz Calculus gives each product a US success score between 0 and 100. The score combines the demand forecast, competitive density and the margin-cost model.
Demand forecasting, competitive density, the margin and cost model, keyword opportunities, seasonality and market gap analysis are used together.
Yes. Every score comes with an explainable rationale: you can see which data pushed the score up or down. Decisions rest on a traceable analysis, not a guess.
Yes, seasonality analysis is one of the scoring components. Demand that rises in specific periods of the year is reflected in the product’s overall assessment.
It points to product groups where demand exists but competition remains relatively weak. These areas carry the highest probability of success for a newly entering seller.