Lightspeed Retail or Shopify POS
Daily sales and stock comparisons across locations, written up in plain English.
Attua / Industries / Retail
AI for retail businesses with more than one store
Running three, five or ten stores means the same questions, stock moves and roster gaps land on head office every week. AI can take the repeat work off your area managers and store leads, using the point of sale and stock data you already have.
Book a discovery callThe problem
Why multi-store retail admin piles up
Most retail groups we talk to are not short of data. Lightspeed, Shopify POS, Square or Vend reports tell you exactly what sold in Paddington versus Chermside last week. The problem is that someone has to pull those reports, compare them, decide what moves between stores and then chase it up. That someone is usually an owner or an area manager who should be on the floor.
On top of that sit rosters in Deputy or Tanda, supplier emails, Google reviews for every location, and a shared inbox full of click and collect questions. None of it is hard. All of it is constant.
Workflow
How a stock question moves through the business
- Step 1Sales land in the POS
Overnight, each store's sales and stock on hand sync from Lightspeed or Shopify POS.
- Step 2AI compares stores
An agent flags lines selling fast in one store and sitting still in another, and suggests transfers.
- Step 3Area manager reviews
The suggestion arrives as a short list with reasons. Your manager approves, edits or rejects each line.
- Step 4Transfer and roster notes go out
Approved moves become transfer requests, and stores get a plain note on what is coming and why.
- Step 5Results feed back
Next week's comparison shows whether the transfer sold through, so the suggestions get sharper.
Your stack
Retail systems AI can sit on top of
Deputy or Tanda
Roster drafts that match forecast foot traffic and flag gaps before Friday.
Google Business Profile
Draft replies to reviews for each store, in your voice, for a person to approve.
Microsoft 365 or Google Workspace
Supplier email triage and a weekly summary of open orders.
Klaviyo or Mailchimp
Local promotion drafts using what each store actually has on the shelf.
Illustrative example, not a client story
Example scenario: the Monday stock meeting
Picture a homewares retailer with six stores across Brisbane and the Gold Coast. Every Monday the owner and two area managers spend the morning in spreadsheets working out which stores are short of what. In this example, an agent connected to their POS produces the transfer list before 8am, with a one line reason for each suggestion and a note on anything that looks like a data error.
The Monday meeting becomes a 20 minute review of exceptions rather than a three hour build. Store leads get a message telling them which cartons are arriving and which display to refresh. This is an illustration of the kind of workflow we design, not a description of a past client.
First steps
Where a retail group usually starts
One report everyone trusts
We combine POS exports from every store into a single weekly view, so owners, area managers and store leads argue about decisions instead of numbers.
Review replies by location
Draft replies for each store's Google reviews give quick, visible progress, and store leads can see how customers talk about their shop.
Roster against forecast
Comparing Deputy or Tanda rosters with last year's foot traffic shows where hours are thin on Saturdays and heavy on Tuesdays.
People first
What changes for store and area teams
Store leads spend less time on the phone to head office and more time on customers and visual merchandising. Area managers move from compiling reports to coaching. Buyers get earlier signals about what is moving. We map those changes with your people lead before anything is switched on, and we train each role on its own tasks rather than running one generic session.
Guardrails
Guardrails for customer and sales data
Retail data includes customer names, emails and purchase history, so we treat it under the Privacy Act and the Australian Privacy Principles. Agents get read access to what they need and nothing more, and anything that touches a customer, such as a review reply or a promotion, is approved by a person before it goes out.
Every job is scoped up front after a Diagnostic. Sam is based in Fortitude Valley, Brisbane, and travel is charged at cost from Brisbane. See the cost guide.
Questions
Common questions about AI for retail
Can AI help with stocktakes?
It will not count the shelf for you, but it can reconcile counts against the POS, highlight unusual variances by store and draft the adjustment notes for your manager to check.
Our stores all run slightly differently. Is that a problem?
No. The Diagnostic maps how each store actually works. We usually standardise the reporting first and leave local habits alone unless they cost you money.
Will this replace our area managers?
The aim is to give them their week back for coaching staff and walking stores. We plan role changes openly with you and your people lead.
Do we need to change POS systems?
Rarely. Lightspeed, Shopify POS, Square and most mainstream systems export the data we need.
Can it help with seasonal peaks like Christmas and EOFY sales?
Yes. Peak trading is when the admin load hurts most, so we often time the first workflow to be running and trusted before the November rush.
Talk it through with Sam
Book a 30 minute discovery call about how your business runs today.
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