Plan the season your customers actually buy.
Options, depth, newness and drop cadence, sized to demand at the size and channel level. Fewer stockouts on hero SKUs, less residual to mark down.
We'll only use this to reach out about Tightly.
From the operators at
working capital reduction, on average
in-stock service level, sustained
would recommend Tightly to a peer
The way apparel planning breaks.
- 01ThenLine plans copied over from prior seasons; range doesn't trade to real demand.Line plans built at option × size × channel, from real demand.
- 02ThenSize curves reused; long on XS, short on M — every single season.Size curves that respect how each door trades — no blanket assumptions.
- 03ThenDrops land on a static calendar, not when the customer re-engages.Drop cadence tuned to re-engagement, not the calendar.
- 04ThenResidual builds in weeks 8–10; markdown eats the season.Clean exits — model markdown headroom before the season starts.
Apparel season planning, tuned to how the category trades.
Options, calibrated.
Line plan sized at option and size level, from real demand — not last year's silhouettes with new palette.
Size curves that hold.
Per-size demand at the door level. Stops the "we sold out of Medium in week two" cycle.
Drop cadence, tuned.
Newness lands when your customer actually re-engages — not on a static calendar drawn in January.
Full-price sell-through.
Buy for the demand curve you'll see. Price to clear cleanly, protect margin on the way out.
Your agents watch the season and stage the moves.
The model reads sell-through, size velocity and returns across the range. When a size or option drifts, the agents stage the re-plot; your buyer decides.
Meet the agentsCropped Cardigan · SKU 4482 selling 42% faster than plan at size M. I can reorder 620 units this week; lead time gets you back in stock by week 4. Approve?
We went from arguing about the size curve every Monday to actually shaping the range for how each category trades.
The apparel-specific outcomes.
Fewer stockouts on hero SKUs
The lines your customer keeps coming back for stay in stock — in the right size, in the right door.
Less residual, cleaner exits
Model markdown headroom before the season starts. Buy against demand, price to clear, protect margin.
Drops that trade
Newness cadence tuned to re-engagement, not a static calendar. Every launch lands into demand.
Store-level realism
Doors don't trade the same. Size curves, cover-weeks and allocation respect that.
Range you can defend. Season you can run. See it on your line plan.
Bring a category. We'll run it through the season model and show what would change — real SKUs, real doors, real numbers.