Localization & Cluster Planning

A spreadsheet of A/B/C tiers freezes stores into buckets set once a year and updated by hand, so clusters drift from reality and localizing further means more manual work. Toolio clusters stores automatically on live sales and attributes, keeps the groupings current, and lets you localize assortments off them without rebuilding a sheet.

That's exactly the problem clustering solves. Instead of planning each of hundreds of stores individually, Toolio groups them into a manageable set of data-driven clusters, so you localize at the cluster level and still reach every store — the more locations you have, the more it saves.

No. Toolio proposes clusters from the data, but planners can override, merge, or exclude any location by hand — so local knowledge always has the final say. The algorithm removes the grunt work of grouping stores, not the merchant's judgment.

Clusters retrend automatically as sales and conditions change, so groupings reflect how stores are performing now — not a tiering exercise from last year. You set the attributes once and Toolio keeps the clusters up to date.

A single national range over-serves some stores and starves others, driving markdowns in one place and stockouts in another. Localized assortments put the right product in each store's range — lifting sell-through and cutting the markdown exposure that comes from one-size-fits-all planning.

Absolutely. Toolio supports large data volumes, complex hierarchies, and multi-level planning, making it ideal for enterprise retail planning and analysis.