| 1. Introduction |
Customer and Sales Analyst (CSA) is built on geographic customer distribution and sales information. Based on a spatial customer database and geographic sales information, the system provides multi-dimension analysis and reporting tools, and geographic presentation on customer spatial distribution, sales statistics relating to retail chains, stores, and sale channels. The system integrates cutting edge technologies such as Data Mining, Business Intelligent, Cube Reporting, and related GIS technologies.
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| 2. Major Functions |
The foundation of CSA system is a spatial relationship database containing customer information, store information, regional sales data, competitor information. Based on the database, CSA system will provide following processes and functions:
- Data Entering and Batch Load Functions;
- Functions Creating Spatial Relationship Database, Building Spatial Index, and Establishing Coordinate Information;
- Providing Correlation Analysis, Geographic Presentation, and Spatial Search Features
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| 3. Spatial Customer Database and Geographic Sales Distribution |
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Chain Store Prospecting; |
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Market Analysis; |
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Customer and Store Relevance; |
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Customer Profiling. |
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4. Geographic Analysis
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| 4.1. Customer Profiling and Prospecting |
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Customer Profiling and Distribution; |
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Customer Consuming Characteristics; |
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Store and Customer Coherence; |
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Marketing Campaign Targets. |
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| 4.2 .Customer Consuming Characteristics |
| The Analyst uses your customer data to analyze customer purchasing behavior, and define the market segments, and provide valuable proposal on which kind of products should promoted in the area. |
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| 4.3. Store Marketing |
| The Analyst lets organizations analyze their geographic markets and those of competitors. Through the use of gravity modeling and consumer data, users are able to calculate how markets will change as competition and consumer spending change. |
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| 4.4. Store Prospecting |
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Locate a potential store site; |
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Analyze surrounding competition; |
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Analyze the demographics of the area; |
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Assess the market potential around the new site; |
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Perform drive-time analysis around the site. |
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| 4.5. Trading Area |
| Find the best trading zone by analyzing consumer and sales data. You can summarize the underlying demographics around possible new locations for comparison and analysis. |
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| 4.6. Competitor Market Share Comparison |
| By displaying you own stores and competitor stores on the map, you can analyze the store distribution and location with consumer’s distributions and sales market. |
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| 4.7. An Multi-dimension Presentation |
| Cube Report is a self definable reporting functions built on pre-loaded multi-layer data set. Users can quickly create a report by pulling different rows of data, and defining layout. A GIS based Cube Report adds additional dimension to existing Cube Report functions. It allows to present report data in a spatial dimension, displays data on a geographic map with more information, and more viewpoints. |
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| 4.8. Sales Data Playback |
| All sales data including store sales, direct sales, and competitor sales could be organized in time series, and be played back dynamically on a spatial map. |
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