Product Sales History Menu

Purpose

The Product Sales History page shows per-product sales history within a selected period, including:

• Transaction date
• Reference number
• Customer
• Biller
• Qty & unit
• Purchase unit cost
• Selling value (subtotal)
• Profit

This page is useful for margin audits, analyzing product sales patterns, and tracing transactions by reference/customer.

Header

At the top:

1. Title: Product Sales History
2. 📅 Date range
   • Select report date range.
3. ⚙️ Advanced filters
   • Open advanced filters (Biller, Warehouse, User).

Quick filters (inputs under header)

Three input filters affect the list immediately:

1. Product ID/Name
   • Enter a product ID or product name (depending on backend search capabilities).
2. Reference No.
   • Find a specific transaction by reference number.
3. Customer
   • Filter transactions by customer name.

Note: After typing, data reloads automatically after a short delay.

Date filter (📅)

1. Tap 📅.
2. Select start and end dates.
3. Tap Apply.

Default is typically the last 7 days.

Advanced filters (⚙️)

When tapping ⚙️, a chip-based filter modal appears:

1. Biller
   • Select “All” or a specific biller.
2. Warehouse
   • Select “All” or a specific warehouse.
3. User
   • Select “All” or a specific user.

Modal buttons:

• Close: close the modal without applying.
• Apply: apply filters and reload data.

History list (per-row card)

Each row shows:

1. Product
   • Product name at the top.
2. Info transaksi
   • Date (date only).
   • Reference number (if any).
3. Pihak terkait
   • Customer.
   • Biller (if any).
4. Key numbers (right side)
   • Qty and unit.
   • Buy: purchase unit cost.
   • Sell: selling value (subtotal).
   • Profit: transaction profit (highlighted).

Load more

When you scroll down, data loads progressively. At the bottom you’ll usually see “Loaded X of Y”.

Refresh Data

Pull down to refresh data from the beginning.

If an error occurs

If you see an error:

1. Check your network connection.
2. Make sure you’re still logged in.
3. Narrow filters (product/date) to reduce data load.
4. Refresh.

Tips

• For margin checks, focus on Profit and compare Buy vs Sell.
• Use Reference No. to trace a transaction referenced in other reports.
• If there is too much data, reduce the date range and choose biller/warehouse/user via ⚙️ filters.