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UI

Verified User in Information Services

Mid-Market (51-1000 emp.)

8/13/2026

"Cleaner matrix across 52 stores with far less manual work"

5/5

What do you like best about LEAFIO AI Retail Platform?

It lets us run each category like its own business: we define a goal and a strategy, structure clusters, and set explicit rules for which SKUs belong in which stores. The recommendations for adding and removing SKUs come with control over execution, so the matrix stays clean as the network grows instead of drifting. The dashboards give the category team one place to see what is working, and because it reads our actual transactional data the picture is store-level rather than an average across the chain. With over 10,000 SKUs across 52 stores that level of granularity is what makes the difference. Review collected by and hosted on G2.com.

What do you dislike about LEAFIO AI Retail Platform?

Setting up the initial clusters and rules took planning on our side before the system could do its job, and a few more out-of-the-box report templates would save time when we need a new view. Review collected by and hosted on G2.com.

What problems is LEAFIO AI Retail Platform solving and how is that benefiting you?

We needed assortment decisions that match local demand store by store instead of one-size-fits-all, and a way to keep the matrix disciplined as the network grows. With over 10,000 SKUs across 52 stores, manual matrix work does not scale. With LEAFIO we [insert your measured result: reduced out-of-matrix SKUs by X percent, cut manual assortment work by X percent, or improved inventory turnover by X percent], and the category team now spends its time on strategy rather than manual updates. Review collected by and hosted on G2.com.

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5.0 out of 5 · Verified reviews from real users

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