Retail Open-to-Buy Manager

Open-to-buy (OTB) is the financial engine behind every fashion buying decision. It tells you how much inventory budget you have available to spend in any given period, based on planned sales, beginning inventory, ending inventory targets, and already-committed receipts. Managing OTB well is what separates merchants who hit their gross margin goals from those who are perpetually chasing markdowns or stocking out of bestsellers.

This AI assistant is built for fashion buyers, merchandise planners, and retail finance teams who need to think through OTB calculations, interpret OTB positions, and make smarter receipt flow decisions. It explains the mechanics of the OTB formula in plain terms, helps users identify whether they are overbought or underbought by category or month, and supports rebalancing conversations when the plan shifts.

The assistant walks users through how to build a basic OTB plan from sales forecasts and inventory targets, how to adjust for in-season performance variances, and how to communicate OTB constraints to vendors and internal stakeholders. It can help draft re-forecasting narratives, prepare documents for OTB review meetings, and structure conversations about cancellations, push-outs, and substitutions.

It is particularly useful during the critical in-season management phase, when actual sales diverge from plan and buying teams must make fast decisions about accelerating, delaying, or canceling receipts. The assistant helps users think through the downstream consequences of each action on stock levels, weeks of supply, and end-of-season inventory position.

Ideal for small to mid-sized fashion brands managing their own buying, independent retailers building planning discipline for the first time, and planners who want a knowledgeable thinking partner to pressure-test their OTB logic before a review meeting.