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Operations · Store performance diagnosis

How to find out why a store is underperforming

To diagnose an underperforming store, compare it with last year, budget and similar stores, then break the gap down by category, customers, promotions and stock. 11Ants does this in one question. Ask Ant why a store is behind and it names the biggest drivers, shows how much each one costs, and suggests where to look first.

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Store manager with a stock scanner crouching at a half-empty shelf, with the 11Ants AI ant on his shoulder

THE CHALLENGE

Why is store underperformance hard to diagnose?

A dashboard can show that a store is behind budget. It rarely shows why. Is it fewer customers, smaller baskets, a weak category, missed promotions or empty shelves?

Finding out means pulling several reports and comparing them by hand. By the time the cause is clear, the store has lost weeks of sales.

THE SOLUTION

How does 11Ants diagnose a store?

Ask Ant why a store is behind and it names the drivers in plain English.

Ask Ant why a store is behind and it names the drivers in plain English. For a full store review, the Store Review, Performance Diagnostics, Gain Loss, Lost Sales and Inventory Health modules break the gap down in depth, the same way every week.

1

Size the gap

Ant compares the store with last year, budget and a matched group of similar stores.

2

Split the drivers

Ant breaks the gap into customer count, basket size, category performance and promotion response.

3

Check availability

Ant looks at stock and lost sales for the categories that are behind.

4

Explain it plainly

Ant writes a short, plain-English summary a store manager can act on.

EXAMPLE QUESTION TO ASK ANT

QUESTION

Why is this store behind budget this month, and what is driving it?

WHAT ANT RETURNS

[Insert a real Ant answer from demo data: the gap to budget, the top three drivers with their value, and suggested actions.]

See Ant diagnose a store

Demonstration data; brand names are illustrative.

What results do operations teams see?

CASE STUDY

Mitre 10, New Zealand: from the whole business to a single store.

New Zealand's largest home improvement and garden retailer analyzes 104 weeks of transactions, hundreds of millions of rows, and drills from the total business down to specific stores, brands and customers.

Read the case study

We had never seen a business tool like this before that could have such a wide scope across our business.

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Fiona McCauley

Customer Experience Officer, Farro

11Ants is like a robot that knows everything. He has all the data, he has all the ideas, he has all the answers.

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Sunčica Dučić

Trading Development Manager, IDEA

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Store performance FAQ

What data does 11Ants use to diagnose a store?

11Ants uses POS transactions, loyalty data, budgets and inventory for each store, with 27 months of history. That lets Ant separate customer, basket, category, promotion and stock effects.

How quickly can Ant diagnose a store?

Ant answers in seconds once your data is connected. The same diagnosis done by hand usually takes days of pulling and comparing reports.

Can Ant explain the diagnosis to store managers?

Yes. Ant writes plain-English summaries of what is happening and why, so regional managers can share them directly with store teams.

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Black Hole Grid

Find out what’s holding your stores back

Book a demo and ask Ant about one of your own stores.

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