™HOW VANTELOQ WORKS
Retail analytics that explain the change
A sales total starts the conversation. Vanteloq helps you follow it into completed purchases, basket value, categories and discounts, so you can decide what to investigate next.
Sales are down. Which part of the business changed?
Try the interactive example →Fictional records. No signup required.- 1
Use a comparable period
Choose the location and dates. Confirm that both periods include the intended sources and that imports are complete. A missing day is not evidence that the store had no sales.
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Separate the drivers
The revenue breakdown separates changes in purchase counts, average purchase value and adjustments. Category contributions help locate the movement. These are numerical contributions, not proof that a promotion, employee or event caused it.
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Inspect products and baskets
Review units, category revenue, discount reliance and recorded margin. Basket analysis shows observed product and category combinations, sample counts and association measures. A common combination suggests a test; it does not guarantee that a bundle will increase demand.
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Turn the finding into a review
Ask Vanteloq AI to explain the permitted evidence, create a review task and record the decision. Compare the outcome with the original hypothesis once sufficient new records are available.
How the calculation works
Gross profit = net sales − recorded product cost. Gross margin = gross profit ÷ net sales. Missing product costs make margin unavailable instead of silently overstating profit.
What the result needs
Product and basket analysis require line-item records. Daily summary imports can support daily totals but do not establish which products were bought together. Customer repeat measures require consistent customer identifiers and sufficient history.
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