Rajesh’s Challenge: Scaling a Growing Retail Business

1. Tables in Business Central — Digital Notebooks for Data

A table is like a digital notebook on your computer.

• Rows represent individual records (one customer or one sale)
• Columns represent details about that record (name, date, amount, etc.)

Rohan began by creating a Customer Feedback Table to help Rajesh store and track customer reviews easily.

table 50100 "Customer Feedback"
{
    DataClassification = ToBeClassified;
    fields
    {
        field(1; "Feedback ID"; Integer)
        {
            AutoIncrement = true;
        }
        field(2; "Customer Name"; Text[100]) { }
        field(3; "Feedback Date"; Date) { }
        field(4; "Comments"; Text[250]) { }
        field(5; "Rating"; Integer) { }
    }
    keys
    {
        key(PK; "Feedback ID") { Clustered = true; }
    }
}

This table allowed Rajesh and Rohan to store, search, and sort customer feedback easily.

2. Table Extensions — Expanding Business Central Safely

Later, Rajesh wanted to add loyalty tracking for repeat customers. Instead of modifying the core Business Central Customer table, Rohan used a table extension to add the new field securely.

Example: Adding Loyalty Points

Rohan added a new field without touching the original table:

tableextension 50101 CustomerExtension extends Customer
{
    fields
    {
        field(50100; "Loyalty Points"; Integer)
        {
            DataClassification = ToBeClassified;
            Caption = 'Loyalty Points';
        }
    }
}

Now, every customer had a Loyalty Points column added safely.

3. Triggers — Automating Business Logic

Rajesh wanted an automatic alert whenever a VIP customer was updated.

Triggers are rules that automatically run when records are added, modified, or deleted.

Rohan introduced triggers that automatically notify Rajesh whenever a VIP customer record is modified.

tableextension 50102 CustomerExtension2 extends Customer
{
    fields
    {
        field(50101; "VIP Customer"; Boolean) { }
    }
    trigger OnModify()
    begin
        if "VIP Customer" then
            Message('This customer is VIP!');
    end;
}

This trigger ensured Rajesh was notified automatically about VIP customers.

Beginner Tips

1. Use unique IDs for custom tables and fields (50000+ range)
2. Use descriptive field names
3. Prefer Table Extensions over modifying standard tables
4. Keep triggers simple for better performance
5. Classify data properly

Business Before and After Business Central

Before	After
Paper notebooks	Digital tables
Missing loyalty points	Table Extensions
Manual VIP check	Trigger automation
Slow search	Fast search and sorting

The Result: Data-Driven Decisions and Happier Customers

With Business Central AL customization, Rajesh’s store now runs smoothly and efficiently. He can focus on customers instead of paperwork — while Rohan continues to refine his AL skills with real-world impact.

Next in the series → How Rohan and Rajesh turn Business Central data into smart reports and dashboards