
Meet Iris, Who Builds the Right Range for Every Store Group
- Groups stores by how customers actually buy
- Forecasts demand by product and location
- Balances breadth, depth, and margin targets
- Identifies range gaps, overlaps, and carry-forward risk










Fashion demand shifts by season, market, and store group. AssortSmart continuously aligns range depth, option counts, and carry-forward decisions with local demand, improving sell-through while protecting margin.

Complex assortments and long lead times require disciplined range decisions. AssortSmart calibrates product mix and depth by region and store group, keeping inventory aligned with where demand is concentrated.

In our clients’ own words
AssortSmart groups stores by demand patterns and product performance, then builds the range for each group based on what customers actually buy there. Every recommendation is supported by the demand and performance data behind it so merchandisers can review the decision before committing the assortment.
AssortSmart groups stores using sales patterns, customer demand, product performance, and relevant store characteristics. Each cluster is statistically evaluated, giving teams confidence in the grouping before assortment decisions are built around it.
The AI assortment planning agent evaluates prior-season products against sales, margin, sell-through, and consistency across store groups, recommending which items to carry forward, which to reduce, and which to remove from the next assortment.
Yes, within the guardrails your administrators define. Routine, low-risk decisions can execute automatically and remain logged and reversible. Decisions outside those limits stay staged for merchandiser review.
AssortSmart evaluates historical performance, current sell-through, demand signals, inventory position, product attributes, store-group behavior, and financial targets. Recommendations remain traceable to the evidence behind them.