The consumer goods industry has always been an important part of China's national economy, and the consumer goods industry is currently experiencing rapid upgrading, changing consumption channels and scenarios, as well as the joint promotion of technology and consumption upgrading, jointly promoting the digital and intelligent transformation of this industry.
Digital intelligence drive has become the main direction of digital intelligence transformation in this industry. According to the characteristics of the consumer industry, Yonyou BIP Intelligent Analysis Cloud has launched a consumer industry data analysis theme package, which drives enterprise growth and helps industry innovation through deep cultivation of industry scenarios.
Yonyou BIP Intelligent Analysis Cloud further deepens its understanding of the consumer goods industry, and comprehensively covers the whole business process of enterprise production and R&D, marketing and sales, and operation management through preset data analysis theme packages. It comprehensively improves the digital intelligence level of enterprises from three aspects: business collaboration capabilities, production and operation process visualization capabilities, and decision-making and suggestion capabilities, and helps realize digital intelligence innovation.
Customer analytics is a key aspect of this. Through the comprehensive analysis of customer status and transaction data, enterprises can clearly understand the status of customers, such as increase and decrease, activation, sleep, overdue, and return. This helps to adjust sales strategies in a timely manner and provide a clearer picture of the linear relationship between the customer's sales amount and gross margin. On the basis of customer analysis, the analysis of strategic accounts becomes particularly critical. By focusing on indicators such as key strategic customer details, sales, volume, churn rate, and current account details, enterprises can fully control the changes in the business conditions of key key strategic customers and make quick decisions and adjustments.
In terms of financial analysis, through the analysis of operating profit, pre-tax profit, accounts receivable, inventory and other indicators, the leadership can timely control the overall situation and make adjustments to decision-making. Data from sales analysis, equipment monitoring, production analysis, procurement material analysis, and business analysis are also included in the Yonyou BIP intelligent analysis cloud, so as to help enterprises make more informed decisions at different levels.
In terms of sales analysis, the sales indicators are analyzed, including amount, cost, orders, delivery rate, gross profit and gross profit margin. Through model-based analysis, such as sales, sales, cost trends, product matrix and other models, enterprises can intuitively obtain the relationship between sales, costs and profits of goods.
In terms of equipment monitoring, it includes the common indicators of production-end equipment management in the electronic consumer industry, such as energy consumption ranking, production line energy consumption, monthly energy consumption, semi-annual energy consumption, energy consumption of different equipment, total energy consumption, etc. By intuitively obtaining the energy consumption information of the equipment, the enterprise can estimate part of the production cost, and use it as a condition for troubleshooting and judging whether the equipment is faulty.
The production analysis includes the key indicators of the manufacturing side of the consumer electronics industry, such as output value, inventory amount, in-process amount, production work order accuracy, etc. Through the comparative analysis of capacity utilization rate and unit labor (manufacturing) cost allocation rate, enterprises can intuitively display the relationship between capacity utilization and unit cost.
The analysis of purchased materials includes the purchase inbound amount of different materials, the amount of purchase returns, on-time delivery rate, procurement **, etc. By visually displaying common analysis indicators such as the trend change of materials, the proportion of material procurement and the delivery of materials, enterprises can reduce costs and improve efficiency.
*Merchant analysis includes common indicators such as the increase and decrease of merchants, payment amounts, payment methods, order warehousing analysis, delivery analysis, and merchant rankings. Through a theme that comprehensively displays the activity of the first business, the proportion of the purchase volume of the first business and the delivery performance of the corresponding businessman, the enterprise can better manage the first chain.
In terms of quality analysis, through the analysis of indicators such as loss fee and pass rate, enterprises can get strict feedback, adjustment and control, and further improve the quality system of products. The theme packages of project R&D analysis, scientific research management analysis, and human resource analysis also provide enterprises with more dimensional data support to help them understand and manage their own operations more comprehensively.
The project R&D analysis includes indicators such as the number of projects under research, new projects, expiration, and overdue progress rankings. The visual display of the quantity, status, department structure, progress and other information of project R&D helps enterprises to better manage R&D projects.
As an industry expert serving enterprises for more than 30 years, Yonyou has provided leading data analysis services for tens of thousands of enterprises with the help of the data analysis model of Yonyou BIP Intelligent Analysis Cloud with its rich experience in the consumer goods industry. Yonyou BIP Intelligent Analysis Cloud - Consumer Goods Industry Data Analysis comprehensively covers all aspects of the industry, provides sustainable data analysis services for enterprises, and helps enterprises achieve digital and intelligent transformation and move towards high-quality development.