Retail Services Solutions

Impact of Internet economy, homogeneous competition and market environment, etc.,raise high pressure on retail supermarket industry. If you want to be a winner, you can't work out an idea by just patting head to make decisions, and nothing but scientific data analysis can help you make the right decisions for your company.
1.1ndustry Status

Competition in the retail industry is getting more and more competitive, but the decision makers can't get the data they need in time to support them for making decisions.

业There are many business systems, and the data collection is becoming more and more detailed, but the operation of the supermarket cannot be seen from the whole.

The front-end business users mostly rely on experience and they can't directly use the company's existing data although it is in large numbers.

1.2Current Problems

1. Management decision support
When Management Decisions are made, the problem cannot timely be found out from the views of data integrated, therefore, Management Decisions can only be made through statistical reports submitted by different departments and of different business systems.
2. Business data support
Although there are a lot of business systems help with data collection, but when the business department needs some data that have been collected, they fail to catch it very quickly, and have to feed it back to IT department, which would take long response period. Meanwhile, it is not easy to change the current reports.
3. Response to mass data
Now, business systems applicable to industry become more and more. The more business systems, the more detailed data collection, which needs longer and longer time to use the system and results in faster and faster growth of data size. But existing systems cannot respond quickly to data in larger volume.

Systemic retail solutions,
help you to achieve flexible business needs!

Solutions of Yonghong Tech for retail supermarket industry split the whole system into three levels:
1. Data layer: integrate different business information systems and show data from the overall height;
2. Modeling layer: set up different analysis topics according to different views of analysis;
3. Display layer, in rich and beautiful charts, by flexible interactive mode.

2.1 Overall Architecture Diagram

·Data island: data are stored separately in different branches, and different business data of branches are stored independently.
·Large data volume: data in large size is diverse and complex. The daily trading data is in the hundreds of billions, and covers hundreds of dimensions including business and users, etc.
·Diversity of business: involving customer data of transaction, social contact and GPS, and data of enterprise internal operating maintenance, operation and so on.


The whole system covers three levels
1. Data layer: integrate different business information systems, and realize the data from an overall view.
2. Modeling layer: set up different analysis topics from different view of analysis.
3. Display layer: in rich and beautiful chart showing manner, flexible way of interaction, the analysis results are presented to decision-making level and business users, and IT and business departments can make different display on the basis of their own needs.

2.22.2 Business analytical model

Sort out the retail business, the industry focuses on four aspects: sales, goods, finance and services,etc.
Sales module:
·Emphasis on sales volume, the number of sales notes in a period of time and unit price, and visible effect of operation.
·Emphasis on change of sales target data on year-on-year basis or link relative ratio, to discover new trends of passenger flow in a timely manner.
·Display method: dashboards, charts, or tables.
·Pay attention to commodity structure, suitable distribution of fresh, food and household products,to ensure the passenger flow and user viscosity.
·Pay attention to commodity inventory, SKU quantity, turnover days, retail goods, zero inventory products, to guarantee continuous supply for the best selling goods, and clearing unmarketable goods through activities.
·Display method: chart or table.
Financial module:
·Focus on gross profit, expense and profit, and focus on largely changed indicators to find key information in time.
·Pay attention to profit and expense of different regions and commodities.
·Track the distribution of different product categories in different regions.
·Display method: chart or table.
Service module:
·Pay attention to passenger flow, stay time and waiting time, directly examine market activities, adjustment of product structure ratio and service modes.
·Focus on types of sales return, to timely discover business problems through normal and abnormal sales returns during operation.
·Display method: chart or table

2.3Operational Analysis Effect Diagram


Overall decision support for sales, merchandise, finance and services

Solutions of Yonghong Tech for retail supermarket industry combs retail business from the four aspects of sales, goods, finance and services to build a one-stop big data analysis platform for enterprises, for the purpose to meet the needs of decision-makers for timely grasping and quickly analyzing operation situation, for self-service display of operational data of sales, commodity, finance, service, etc., in a form of visualization.

3.1Value of Yonghong

1. Meet the requirements of decision-makers to timely grasp and quickly analyze the operation situation.

2.When the front-end demand changes, IT can quickly respond to the demand so as to improve its communication.

3. Self-service display of operational data of sales, commodity, finance, service, etc., in a form of visualization.

4.Realize integration of existing business system data, improve data view, for quick display even when the data size is large.

Yonghong Z-Suite one-stop big data analysis platform can create values for our customers and make them achieve success based on excellent data techniques.