01
The movers, ranked
Which categories are up and which are down against the last period, ordered by the size of the change, so the ones that matter surface first.
A category can slide for weeks before a quarterly review makes it obvious, holding shelf space and ordering commitments the whole time. This workflow gives you a regular, data-backed read on which categories are gaining momentum and which are losing it.
Category shifts are rarely sudden. A line eases off week by week, and because no single week looks alarming, the decline only becomes clear when a quarterly review lands and the ground has already been lost.
The data to catch it earlier is there in every week's sales, at category level, across stores. What tends to be missing is a habit of looking, and a quick enough way to look that it fits between the bigger reviews.
Retail+ reads that category detail live. The trajectory of a category becomes something you can check whenever the question comes up, not something you wait a quarter to see.
Which categories are up and which are down against the last period, ordered by the size of the change, so the ones that matter surface first.
Categories easing off gradually enough to miss, caught while there is still room to respond.
Whether a decline runs across the group or sits in one or two stores, so the response fits the cause.
Open Retail+ and rank categories by sales or margin change against the prior period, live from the tills, so the biggest movements are the first thing you see.
In Real-time Analytics, use weekly granularity to confirm whether a decline is recent or sustained, and compare across stores to see how wide it runs.
Put the category questions to Hank in plain English and the answer comes straight back, drawn from your own POS.
Illustrative of what you can ask once your data is connected.
For a category that needs attention, raise the next step as a task, a ranging review, a supplier conversation or a promotion, with an owner and a due time.
Re-run the same comparison in the following periods to see whether the category has turned.
On demand, in the same shape each time.
Categories slipping gradually, before a quarterly review would show it.
A read on whether a decline is network-wide or sits in a few stores.
Raised with owners and completion tracking.
Category trends surface at the quarterly review, by which point a fading line has lost weeks of ground. Category conversations lean on static reports.
Category trajectory is live and self-serve. A slide is caught in weeks rather than months, and conversations with suppliers and leadership start from current evidence.
The tapestry® Economic Impact Report models a conservative A$27.5k of net value per store per year, a central estimate of A$85.7k, and up to A$181.4k at the top of the modelled range, on a A$30m store. Modelled scenario only. Individual results may vary.
Run the 4-week free trial on your own POS data and watch your categories move week by week, not quarter by quarter. No setup fees.