Processes for approximating daily sales data of balance sheet data, and for analysis of balance sheet data and causal data, readable by computer means, and, system for approximating daily sales data of balance sheet data

摘要

"PROCESSES FOR APPROXIMATING DAILY SALES DATA FOR BALANCE SHEET DATA, AND FOR ANALYSIS OF BALANCE SHEET DATA AND CAUSAL DATA, LEGIBLE MEANS BY COMPUTER, AND, SYSTEM FOR APPROXIMATING DAILY SALES DATA ON BALANCE SHEET". Balance sheet data collected at a retail outlet belongs to a plurality of purchases. For each purchase, an associated purchase date and an associated number of units purchased is determined; for each purchase date, a depletion fee is determined, which will cause the number of units purchased to be exhausted when the next one occurs. successive purchase date. The depletion rate is an estimate of daily sales that occurs between successive purchase dates. Causal data can be collected at the retail outlet, which is considered valid during a causal balance period. Estimated total sales that occur during the causal balance period are determined by adding the estimated daily sales for each purchase date within the causal balance period. Relationships can be identified between the causal data and the total estimated sales during the causal balance period. If a relationship between causal data and estimated total sales is identified, one or more marketing strategies can be developed to take advantage of the identified relationship. Marketing strategies can be analyzed using one or more analytical marketing models to determine whether any of the marketing strategies are viable. Any marketing strategies that are determined to be viable can be implemented in the retail environment. At a later time, updated balance sheet data and causal data can be collected and analyzed in the manner described above for the purpose of monitoring the performance of one or more of the implemented marketing strategies.