ANÁLISE DA FORMAÇÃO EXCESSIVA DE ESTOQUE EM UMA UNIDADE VAREJISTA DA CIDADE DE JOÃO PESSOA

Abstract

It is known that inventories are one of the key points in retail, in view of their management directly impacts the level of service that the companies provide to their customers. Thus, when well managed, it ensures the availability of products at the point of sale. While avoiding having excess merchandise in company's stocks. Hence the importance of inventory management, because it aims to balance the supply and demand of items, in order to reduce the capital retained in items that do not present demand for their consumption, guaranteeing a high level of service provided to the customer. The priority then is lower the investment in inventories. In fact, the higher the inventories, the greater the need for storage space of the merchandise, its movement, and still susceptible to breakages and losses, thus triggering disruptions for the company. In practice it is no different; since in a retail unit that trades more than 60,000 different items it is difficult to have control of these variables. Thus, the objective of this work was to analyze the excessive stock formation in a retail unit in the city of João Pessoa. To this end, interviews, a participant observation script, and access to the company's management information systems were used to facilitate the collection of data regarding the determination of the items with the highest grade, loss indexes, and your consumption history. For the determination of the new grid, it was assisted by the demand forecasting method, which is essential, given that past data show future sales projections. That said, the method used was based on the weighted moving average. Thus, from the calculations it was possible to determine the product grid M and G. Therefore, it was obtained as a result that of the quantity of products M, sent to the company monthly, only 15% is sufficient to meet the demand, a reduction of costs of acquisition of the merchandise in R$ 58,030.00. For product G, only 17% of the quantity sent is enough to attend the demand of the store, which represents a saving for companies of R $ 36,750.00. Finally, it is worth mentioning that in order to define the size of the grid, it is ideal to take into account the analysis of sales histories, since, according to the comparison of the average ticket (method carried out by the company) between stores, it neglects the idea that each store has customers with a different consumption profile, that is, who buys item M in store A, will not necessarily buy Item M in store B, (although they have the average ticket very similar), so this indicator does not determine the customer's purchase.