We’re excited to announce that the latest information is now available on our new site, the Ginesys One Wiki!. Visit the site for up-to-date resources and insights. We look forward to continuing to support you there!
We’re excited to announce that the latest information is now available on our new site, the Ginesys One Wiki!. Visit the site for up-to-date resources and insights. We look forward to continuing to support you there!
Customer Analysis (Primary Sale)
Introduction:
The customer analysis module that we have designed to provide a clear insight into the buying patterns and trends of their B2B customers. Our solution gathers and studies critical data such as spending habits, buying patterns, and other relevant information, enabling users to track top-end customers based on their sales performance over different time frames. The module is structured into five sub-modules: Dashboard, Details, General, Irregular, and Problematic Customer.
Dashboard:
The Dashboard provides a quick and concise view of the total customers, new customers, loyal customers, and lost customers, along with their respective contribution percentages to the overall sales.
It also presents Top N customer wise Sales trend, Top N city wise customer detail , Department wise new customer and so on.
Go to -- > Customer Analysis--> DashBoard
Details Report :
The Details report allows retailers to identify their most loyal and valuable customers and develop targeted marketing campaigns to engage and retain them.
Customer Details Go to -- > Customer Analysis--> Details
Best Customer Go to -- > Customer Analysis--> Details--> Best
Lost Customer Go to -- > Customer Analysis--> Details--> Lost
New Customer Go to -- > Customer Analysis--> Details--> New
Loyal Customer Go to -- > Customer Analysis--> Details--> Loyal
Return Customer Go to -- > Customer Analysis--> Details--> Return
General, Irregular and Problematic Customer :
Our solution further enables users to identify the top and problematic customers based on their return history, helping business organization proactively manage customer complaints and improve the overall customer experience.
In summary, our customer analysis module is a robust and powerful tool that provides the user with valuable insights into customer buying patterns and trends. By utilizing this data, retailers can make data-driven decisions that can improve customer satisfaction, drive sales, and boost revenue.
General Customer Go to -- > Customer Analysis--> General
General Customer Day Visit Go to -- > Customer Analysis--> General--> Day Visit
General Customer Bill Value Go to -- > Customer Analysis--> General--> Bill Value
General Customer Bill Count Go to -- > Customer Analysis--> General--> Bill Count
Irregular Customer Go to -- > Customer Analysis--> Irregular
Irregular Customer Day Visit Go to -- > Customer Analysis--> Irregular--> Day Visit
Irregular Customer Bill Value Go to -- > Customer Analysis--> Irregular--> Bill Value
Irregular Customer Bill Count Go to -- > Customer Analysis--> Irregular--> Bill Count
Problematic Customer Go to -- > Customer Analysis--> Problematic
Most Return Go to -- > Customer Analysis--> Problematic--> Most Return
MTM Return Go to -- > Customer Analysis--> Problematic--> MTM Return