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Sample Projects

◷ Reading Time: 15 minutes

At the end of each sample, there is a link to download the complete project. Each project has a folder named sampleJSON which contains sample inputs.

Business Rules and Decisions

Flight Management

This tutorial will use the scenario of checking the eligibility of a pilot as a means of scheduling flight duties. There are rules and regulations defined by the aviation authority, such as the maximum flight period, the maximum number of night shifts that a pilot can work, etc. For example, the maximum duty period should be 12.5 hours. The process contains a set of important steps.

  1. Calculate the daily flight duty period
  2. Count the number of landings
  3. Calculate flight time
  4. Check the eligibility of pilot on duty

Used Technologies: DRD or Decision Requirement Diagram, Decision Table, Flow, Fact Concept, Boxed Expressions

Industry: Aviation

Delivery Cost Calculator

Create a simple Decision Table that calculates delivery costs based on the total weight of a parcel. In a post office, this is usually based on a couple of conditions and business rules, but for the sake of this tutorial, let’s make it simple, as shown in the business rules below:

  • If is Package between 0 and 22 kg then the delivery cost is 30$
  • If is Package between 22 and 50 kg then the delivery cost is 33$
  • If is Package between 50 and 110 kg then the delivery cost is 120$
  • If is Package is heavier than 110 kg then the delivery cost is 200$

Remark: The tutorial shows how you can run a decision table in the FlexRule Server and test it in Postman.

Used Technologies: Decision Table, Business Rules

Industry: Manufacturing

Address Book Validation

Defining rules to validate the names and addresses of an address book. Natural Language is used to model business rules related to data validation and navigate data relations.

Remark: This example shows how to use a core library in natural language.

Used Technologies: NL or Natural Language, Fact Concept

Car Insurance

This is a sample for the car insurance industry that calculates the premium of a car based on Auto and Base premium components. The business rules are for risk classification and calculation of the premium of a car. This example requires an SQL database connection.

Remark: This example shows how to reference a .Net assembly (.dll) that defines types to be used as part of rules modeling and execution.

Used Technologies: DRD or Decision Requirement Diagram, Decision Table, Flow, Information Requirement Diagram or IRD, Input Validation Logic, Natural Language, Fact Concept, Boxed Expressions

Industry: Insurance

Student pass-fail state

Using Natural Language, validate the input and finally decide the pass-fail state of a student. In the end, it will create the JavaScript code for the Natural Language code and can be tested in the JavaScript Testbed.

Remark: The tutorial shows how to test a sample project in JavaScript Testbed.

Used Technologies: NL or Natural Language, Fact Concept, Flow, Business Glossary.

Industry: Education

Firearm License Eligibility

The process of determining the eligibility of providing firearm licenses contain a set of serious rules that require 100% accuracy as it is related to security. The example will show how FlexRule can be used to automate this process.

  1. Read data from the previous applicant list
  2. Check whether the applicant is already applied
  3. For previous applicants, get the previous score
  4. For new applicants, calculate the score
  5. Determine eligibility

Remark: This tutorial shows how to read data from a CSV file.

Used Technologies: Decision Table, Fact Concept, General Flow

Industry: Security

Building Plan Assessment

The process of approving a building plan contains a set of steps according to building type, building size, number of stories, etc. The example shows how to use FlexRule Decision tables to write rules to automate this process.

Used Technologies: Decision Table, Boxed Expression, Fact Concept, DRD or Decision Requirement Diagram

Industry: Construction

Liability Fee Calculation

Calculate a premium for a given liability amount based on these rules:

  • Up to and including $50 000 –> fixed amount of $500.00 (Base premium)
  • $50 001 to $100 000 –> Add $40.00 for each $10 000 increment
  • $100 001 to $200 000 –> Add $30.00 for each $10 000 increment
  • $200 001 to $300 000 –> Add $20.00 for each $10 000 increment
  • $300 001 to $1 000 000 –> Add $10.00 for each $10 000 increment
  • $1 000 001 to $3 000 000 –> Add $7.00 for each $10 000 increment
  • $3 000 001 to $5 000 000 –> Add $10.00 for each $10 000 increment

Used Technologies: Decision Table, Business Glossary, Business Rules

Industry: Insurance

Home Loan Calculator

A sample solution in order to create a home loan borrowing calculator.

The application gets information about the applicant’s personal details, earnings, and expenses as the input and as the output, it shows how much the applicant can borrow. We can also check whether the applicant is an existing customer of the bank by reading the database. This example requires an SQL database connection.

Remark: This example shows how to use a validator to validate input parameters.

Used Technologies: Decision Table, General Flow, Fact Concept

Industry: Financial Services

COVID-19 Symptom Checker

This is a sample for a symptom checker customized for checking the symptoms of COVID-19. The model takes the symptoms and certain other details of a patient and as the output, it provides recommendations to show what to do next. This model can be easily customized to provide recommendations for any disease.

Used Technologies: Decision Table, Decision Requirement Diagram or DRD, Business Glossary, Fact Concept

Industry: Healthcare

Patient Carers Alert

The tutorial will use the scenario of checking the symptoms of a patient and alert the carer with the next best action to be taken.

  1. The patient can select the symptoms and their status
  2. Then the system will go through a set of business rules to do the initial diagnosis and decide the next best action to be taken
  3. Finally, an alert email will be sent to the carers along with the next best action

Remark: This example shows how to use the email activity to send an email.

Used Technologies: Decision Table, Flow, Business Expressions, Decision Requirement Diagram or DRD, Business Glossary, Fact Concept

Industry: Healthcare

Tiebreaker

The sample project shows how to implement tiebreaking rules of a game to determine the ranks of the players.

  • Input –> A lit of players with their details such as ranking points, the number of matches, age, the previous rank
  • Decision –> Rank the players. If there are players with the same ranking points use the tiebreaking rules to rank the players.
  • Output –> The list of players with their rank

Used Technologies: Decision Table, General Flow, Business Expressions, Business Glossary

Industry: Sports

Decision Robotics

Automate the process of a Google-search. It will search for a value in Google and filter the search results to get the list of links on the first page.

  1. Open a web browser (eg: Chrome, Firefox)
  2. Navigate to ‘www.google.com’
  3. Type ‘Flexrule’ in the search bar
  4. Press ‘Enter’ key- Copy each link one by one
  5. Close the web browser

Remark: This example shows how to use the decision robotics web tools.

Used Technologies: Decision Table, Flow, Business Expressions, Decision Requirement Diagram or DRD, Business Glossary, Fact Concept

Industry: Marketing and Advertising

Supplier Assessment

Check the eligibility of a supplier. The supplier assessment will perform both a qualitative and quantitative evaluation and help to get the final decision. It will:

  1. Check the business registration number validity
  2. Check online whether the company is registered in the business registry
  3. Give a score depending on different criteria and calculate the final score
  4. Decide whether the supplier is eligible

Remark: This example shows how to use the decision robotics web tools.

Used Technologies: Decision Table, Flow, Business Expressions, Decision Requirement Diagram or DRD, Business Glossary, Fact Concept

Industry: Manufacturing

Reading Email Inbox

Automate the process of reading emails of a recruitment email account to download applications and candidates’ details.

  1. Input the email address, and password of the recruitment email account and the job position that needs to be filtered.
  2. The process will read emails and download applications.
  3. Store them in separate folders according to the email address and date

Remark: This example shows how to use the MailBox extension to read emails/ download attachments.

Used Technologies: General Flow, Mail Server, Automate Email Reading

Industry: Recruitment

Filtering Résumés

Automate the process of reading résumés to check whether the required skills are presented.

  1. Load the résumé (PDF file)
  2. Search for each keyword
  3. Count the matching keywords
  4. Calculate the matching keyword percentage

Remark: This example shows how to use the PDF extension to read résumés in PDF format.

Used Technologies: General Flow, Automating PDF Document Reading, Keyword Search

Industry: Recruitment

Student Record

Automate the process of reading data from an Excel file to get student records, calculate the total, average, and pass/fail state and write back to the file.

  1. Open the Excel sheet where you have saved student scores
  2. Calculate the Total
  3. Calculate the average
  4. Depending on the average determine pass/fail state
  5. Save the Excel sheet with a defined filename

Remark: This example shows how to use the decision robotics Excel tools.

Used Technologies: General Flow, Decision Robotics for Excel Documents

Industry: Education

Write in MS Paint

Automate the process of writing a value in MS Paint and save the image file.

  1. Open MS Paint
  2. Click on the Text icon
  3. Click on the canvas where you want to type
  4. Type the text
  5. Save the file with a given name

Remark: This example shows how to use the decision robotics Windows tools.

Used Technologies: General Flow, Decision Robotics for Windows applications

Human Workflow

Loan Approval

Automate the workflow of the loan approval process

  1. Collect the applications
  2. Validate applications
  3. Check eligibility according to the bureau’s standards
  4. Determine loan application routing
  5. Team review if required
  6. Determine whether the loan is approved

Remark: This example shows how to use a workflow with multiple roles and outcomes.

Used Technologies: Decision Table, Work Flow, Business Expressions, Decision Requirement Diagram or DRD, Business Glossary, Fact Concept

Industry: Financial Services

Data & Analytics

Golf Weather Forecast

This example takes a dataset of weather details to train the model and finally, predicts the possibility of playing golf. It uses the C45 algorithm for predictions. It will:

  • Input data
  • Train
  • Predict

Remark: This example shows how to read data from a CSV file and make predictions using the analytics extension.

Used Technologies: General Flow, CSV File Reading, Data Analytics, Predictive Analytics, C45 Algorithm

Industry: Sports

Medical Diagnosis

This example takes a dataset of symptoms to train the model and finally, diagnose whether the patient has cold, flu, or allergies. It uses the Naive Bayes algorithm for predictions.

  • Input data
  • Train
  • Predict

Remark: This example shows how to read data from a CSV file and make predictions using the analytics extension.

Used Technologies: General Flow, CSV File Reading, Data Analytics, Predictive Analytics, Naive Bayes Algorithm

Industry: Healthcare

Predicting Flower Type

The example is about predicting the flower type with a custom made algorithm using the PMML capability in FlexRule.

We have created a PMML file of a trained model using Python and connect that to make predictions. These predictions can be used as a part of a DRD to make decisions.

Remark: This example shows how to read a PMML model and make predictions using the analytics extension.

Used Technologies: General Flow, PMML, Data Analytics, Predictive Analytics

Industry: Environment

Detecting Breast Cancer

The example is about detecting breast cancer with a custom-made algorithm using the PMML capability in FlexRule. In the end, the system will be able to determine whether the patient has the possibility of having breast cancer.

We have created a PMML file of a trained model using Python and connected that to make predictions. These predictions can be used as a part of a DRD to make decisions.

Remark: This example shows how to read a PMML model and make predictions using the analytics extension.

Used Technologies: General Flow, PMML, Data Analytics, Predictive Analytics

Industry: Healthcare

Analysing Bank Details

The data flow and ETL (Extract, transform, load) process were automated using the IRD (Information Requirement Diagram). The example will get details of a list of bank accounts and determine/calculate the following facts.

  • Maximum balance
  • Minimum balance
  • Average of bank accounts
  • Summation of balances
  • Find the latest and oldest Bank accounts by Account opened date

Remark: This example shows how to extract, transform, load data.

Used Technologies: General Flow, IRD, or Information Requirement Diagram

Industry: Financial Services

Determine Loan Interest Rate

This is a sample to determine the interest rate of an application using the applicant’s personal and account data. We will also be using an in-built machine-learning algorithm to predict the payment delays and based on that the final interest rate is determined. This example requires an SQL database connection.

  1. Input user ID and amount to burrow
  2. Retrieve data from the database
  3. Predict payment delay
  4. Determine repayment risk score
  5. Determine Interest Rate

Remark: This example shows how to read data from a CSV file and make predictions using the analytics extension.

Used Technologies: Decision Table, Flow, Business Expressions, Decision Requirement Diagram or DRD, Business Glossary, Fact Concept

Industry: Financial Services

Updated on March 15, 2021

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