Multi-Branch Retail

A Weekly Aging Stock Report So Owners See Slow Stock Before Prices Drop

In short

A weekly aging stock report is a start-of-week routine: the multi-branch retail owner asks Phak AI and gets a list of long-held items by branch, from the stock Excel files the team keeps updated. It suits products that lose value fast, such as phones and IT gear. The owner uses the list to decide on clearance promotions or transfers between branches.

The old way

  • Opening each branch's Excel to find old stock
  • Finding slow stock after prices have dropped
  • Choosing promotions on gut feeling

With Phak AI

  • One question lists aging stock at all branches
  • Reviewing aging stock every Monday
  • Promotions and transfers from a sourced list
From checking Excel branch by branch to a weekly aging review with one question.

Why retailers should review an aging stock report every week

Some products, such as phones and IT gear, lose value quickly. Every unit that sits on the shelf is money shrinking over time. The later you notice, the deeper the discount needed to clear it.

The problem is that the data sits in Excel files at several branches, and nobody has time to merge them every week. This page shows how to make the aging review a short start-of-week routine, building on asking about stock across branches in Thai.

How the weekly aging stock report works

It uses the files the shop already has, as long as they include the received date.

The team updates each branch's stock file

An Excel or CSV file with model, quantity, and received date goes into the shop's knowledge base on an agreed schedule.

The owner asks at the start of the week

For example, a summary of items held over 60 days by branch, with the source file for each line.

Follow-up questions for detail

Ask which models are aging at several branches, or which branch holds the most old stock.

The owner decides

Running a promotion, moving stock to a stronger branch, or holding off on reorders is the owner's call.

Aging stock questions owners can ask

Which models have been in stock over 60 days, and which branch is overstocked?
Which items are over 90 days old, by branch?
Which models are aging at several branches at once?
Which models crossed the 60-day mark this week?

What we measure for the aging stock report

Metrics agreed at the start and measured with the shop's own numbers. Talk to the Phak AI team to choose the right ones for your shop.

  • Items in stock for more than 60 days
  • Time spent preparing aging stock data each week
  • Time spent finding stock information
  • Weeks in which the aging review actually happened

Clear boundaries

What Phak AI does

  • Phak AI summarizes long-held stock from every branch's files in Thai
  • Phak AI cites the source of each line so it can be checked against the file
  • Phak AI lets the owner ask follow-up questions right away

What it does not do

  • It does not set promotion prices or order markdowns for the owner
  • It does not forecast demand or stock
  • It does not send scheduled reports; the owner pulls the report up anytime by asking
  • It is not an accounting system or a used-phone appraisal tool

Frequently asked questions

When can we pull up the aging stock report?

Anytime, by asking, once that week's stock files are updated. Phak AI summarizes from the latest files the shop added and cites the source of every line.

What data does the file need?

At minimum, model or product code, quantity, branch, and received date, so the system can work out how long each item has been in stock.

Can we set our own threshold, such as 45 or 90 days?

Yes. The owner simply types the threshold in the question, such as items over 45 days or over 90 days.

Talk to the Phak AI team

Tell us about your business. The Phak AI team will show you the systems that fit and plan the rollout with you, without replacing what you have.

1 Share your goalsWe help you rank the work where AI helps your business most.
2 See the system at workWatch it run on sample data from your business before you decide.
3 Install and go liveInstalled on your own dedicated server, connected to the systems you use.