§ Hanam-si · Est. 2018 · Wholesale forecasting
Seasonal demand curves drawn for the people who place the orders
We translate wholesale sell-through history, lead times, and regional buying patterns into chart packs your merchandising team can read in a morning briefing — without opening another pivot table.
What arrives on your desk
Each engagement begins with your shipment logs, distributor returns, and the category notes your buyers already keep. We reconcile those inputs against regional wholesale indices, then produce a bounded set of visuals: baseline curves, variance bands, and SKU-level heatmaps sized for A3 print or boardroom projection.
Nothing ships as a live dashboard login. You receive PDF briefings, annotated chart folios, and a one-hour walkthrough with the analyst who built your pack.
Forecast report formats
Choose the depth that matches your buying cycle — from a single-category seasonal pack to a multi-SKU executive briefing.
What buyers say after the walkthrough
The beverage curve pack showed us that our Chuseok uplift assumptions were three weeks early for Busan wholesalers. We adjusted container orders before the peak hit.
Heatmaps were clear, though we wished the frozen SKU section had one more week of history. The analyst added it during the walkthrough at no extra charge.
From the field notes
Practical notes on reading wholesale curves, seasonal variance, and category-specific demand signals.
Send your category brief
Tell us your SKU list, shipment history window, and the decision you need the charts to support. We respond within two business days with scope and a fixed quote.