Historical sales data
Last updated August 24, 2023
What is historical sales data?
Historical sales data refers to a record of past sales transactions, typically spanning a specific period of time, that provides insights into the sales performance of products or services. It includes details such as the quantity of items sold, the dates of transactions, and the associated revenue. The data is collected and stored to analyze sales, trends, patterns, and fluctuations over time.
What are the key aspects?
- Time period: Historical sales data covers a defined period, which could range from days to years, depending on the business’s needs and the level of detail required.
- Granularity: The data can be aggregated at different levels of granularity, such as daily, weekly, monthly or even hourly, depending on the level of analysis required.
- Product of service information: Each sales transaction is associated with specific products or services sold, allowing for the tracking of individual item performance.
Historical sales data powers forecasting, but the real advantage comes when it informs demand-driven decisions. That’s what makes the in Hakio's platform so powerful - it turns past sales signals into assortment and channel strategies for the future.
For core styles, those historical trends feed into Hakio’s , which ensures availability without overstocking. And when budgets need to align with what the data actually shows, the brings financial targets in line with real sales behavior.
FAQ
The timeframe for historical sales data depends on the needs and industry dynamics. It can range from a few months to several years.