In technologies, especially in the grocery industry, have

 

In the context of earthquakes, it is very important for the logistics of goods to flow more rapidly and accurately in the rescue chain. Big data and logistics can help inventory management more efficiently.

Findings and analysis

In traditional supply chain inventory management, order information is the only company-to-business exchange, but information technology now allows businesses to quickly and cost-effectively share demand and inventory data (Cachon & Fisher, 2000). Inventory management, as the basis of production management and cost control, is very important to the normal production and operation of enterprises. It needs a timely and accurate reflection of the warehousing and flow conditions of various materials. IoT and big data technology based on cloud accounting can collect, analyze and process front-end data for enterprises, and provide support to enterprise science and efficient inventory management. The Impact of Inventory Management in Cloud Accounting in Big Data Era. Cloud accounting makes inventory management cheaper. Cloud accounting makes inventory control more accurate. Cloud accounting makes inventory management smarter (Li, Lin, Zhang & Zhou, 2016).

The timeliness and accuracy of the information have a huge impact on the bullwhip effect, while the bullwhip effect has a huge impact on the stock management. Under the background of big data, cloud computing can effectively solve the timeliness and accuracy of information and makes inventory control more accurate (Lu, Feng, Lai & Wang, 2016). Information technology has had a significant impact on the supply chain. Sales data is collected and allowed through EDI to share all phases of the supply chain with everyone immediately. These application technologies, especially in the grocery industry, have greatly reduced the processing time and cost, makes inventory management smarter (Cachon & Fisher, 2000). System response time is a high degree of concern to users, especially in dealing with a large number of logistics data, the long response time will directly affect the efficiency of the entire inventory management. Big data applications solve the problem of time consumption, making inventory management more efficient (Li, Lin, Zhang & Zhou, 2016).

Reduce inventory costs need to be achieved by different methods. For example, when the total inventory can not meet the total demand, a centralized order will be placed, and then the appropriate product will be allocated according to the stock of each warehouse, thus reducing the multiple ordering costs caused by ordering separately. When the overall inventory level meets the demand, the distribution strategy among the warehouses will be adapted to allocate products from a warehouse with a high inventory to a warehouse with a low inventory, which not only reduces the ordering cost but also reduces the carrying inventory (Li, Lin, Zhang & Zhou, 2016).

Conclusion                                                       

It is evident that inventory management has ushered in the era of big data. Cloud accounting can meet the needs of low cost, high efficiency, simple operation and convenient access to information, which inevitably leads to more efficient inventory management and inventory control.