Focus on data analysis to optimize operational efficiency
With the rising of labor cost, oil price and land cost, the operating cost of logistics enterprises is rising, and the profit level is being compressed. Logistics enterprises have gradually transited from extensive scale expansion to the stage of fine management to benefit. Using the latest data analysis technology of DataFocus to continuously optimize business processes and improve the efficiency of unit cost output, even if it is more than 1% of the efficiency advantage, will be the key weapon to win the trillion-level logistics market in the future.
Eliminate the data isolation
For example: integrate multiple disconnected business system databases for comprehensive data analysis.
More accurate data presentation
For example: say goodbye to the blind image of data cognition, comprehensive data presentation let you control the overall situation!
Answer questions anytime, anywhere
For example: What was the sales of seven off-road vehicles in east China last month?
Real-time data insight
For example: The recent increase in total income comes from a big increase in female consumers in Shanghai
Big data is just a tool. The key is to know how to analyze the data. We only need to ask the right questions, and we can get the right answers. DataFocus is so amazing!”
Everyone becomes a data analyst
Now we have more than 50 million single-delivery deliveries circulating across the country every day, and a lot of data is deposited in these business streams. In fact, we have been able to optimize our business through the Data Focus data analysis engine, which has brought us nearly 180 million yuan in benefits.
I can always know the business situation of various departments and branches through the mobile phone. When I have questions about some indicators, I just need to ask some questions on the mobile phone to find out where the problem is.
We have 85 large storage centers throughout the country, and the network is covered by county-level cities. There are 20,000 trucks traveling all over the country throughout the day. By analyzing the data of goods in and out, we can accurately predict the inventory and turnover of each warehouse.