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ClientSeven-figure e-commerce brand

Stock forecast and order sheets on live sales data.

For a seven-figure e-commerce brand (Bella Belts), the system works out per SKU what to order, on live sales and stock data. A person decides.

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From sales data to order: web shop and fulfilment, then a forecast per SKU, then an order proposal that a person decides on, then the supplier portal. FROM SALE TO ORDER Web shop and fulfilmentsales and stock, live Forecast per SKUon live sales data Order proposaltraffic light per item Human decides Supplier portalaccept, adjust, audit log
01 / What changes

Order on data, not on gut feeling, and with less chance of mistakes.

BeforeAfter
Sales in Shopify, stock at the fulfilment partner.Sales and stock come together live in one app.
A spreadsheet that someone updated every week.A forecast per SKU, on live sales data.
Ordering on gut feeling.An order proposal with a traffic light per item. The supplier answers in a portal of its own, with an audit log.
Not knowing when what came in.For every SKU you see when which delivery comes in. So you know how far you can scale and when to order again.
Drawn example: the deliveries per week against the room to scale. In one week more comes in than fits; you see that in advance. DELIVERIES PER WEEK · DRAWN EXAMPLE room to scale wk 1 wk 2 wk 3 wk 4 wk 5 wk 6 A delivery does not fit? You see it in advance.
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