Collections and recommendations
Decision Model “Up-Sell Rules”
Recommend additional products from a customer’s profile and the products or services they already have.
Business logic
Match a customer to relevant additional products.
The model demonstrates how OpenRules handles arrays of objects and relatively complex recommendation rules. Its product and service lists can be adapted to different industries.
- DetermineOfferedProducts coordinates the final recommendation.
- Profile rules classify the customer from the available facts.
- Up-sell rules compare that profile with products the customer already has.
Model in Excel
Keep profiles, offers, and vocabulary together.
The decision tables and glossary are stored in rules/DecisionUpSellProducts.xlsx. The standard project.properties file points OpenRules to that workbook and configures the project.
Test data
Exercise recommendations with realistic customers.
A test-case table defines expected offers, a DecisionData table supplies the customers, and an Environment table connects the required model artifacts.
Reports
Explain exactly why an offer was selected.
Running test.bat builds the model and executes all test cases. OpenRules writes an HTML report such as target/reports/testCases-Mary.html, showing the rules that executed and why.
Try the model yourself
Download OpenRules and run the samples.
The evaluation includes working decision projects that you can inspect, test, debug, and adapt.