Which type of analysis is least likely to be performed using POS data in isolation?

Fair share vs. market gap analysis is the type of analysis least likely to be performed using Point of Sale (POS) data in isolation because it typically requires broader market data and competitive insights beyond just sales transactions. Fair share analysis involves measuring how a brand or product's performance compares to the overall market and its competitors, often computed as a percentage of the total category sales. This necessitates access to comprehensive market data, including competitor sales, market share, and penetration metrics.

In contrast, sales trend analysis, inventory turnover analysis, and customer segment analysis can predominantly rely on POS data alone. Sales trend analysis focuses on data over time to identify patterns in sales performance. Inventory turnover analysis utilizes POS data to determine how quickly inventory is sold relative to stock levels. Customer segment analysis can also be derived from POS data by looking at purchasing behaviors, frequency, and demographics of sales transactions without needing detailed market-level context. Thus, utilizing strict POS data makes fair share vs. market gap analysis less feasible.