Guide
Wholesale ordering platforms compared: portals, EDI bridges and order intake. Which fits your account mix, and why.
01
A customer emails a purchase order. LevelOps reads it whatever the layout, matches each line against your Shopify catalog, applies the pricing that account was promised, and writes a Shopify draft order.
02
Nothing ships without a person. Every order lands as a draft with the source file attached, so the last word stays with your team.
03
Processing goes from about six minutes an order to about one. The measured error rate is 0.5% against 3% for manual entry, which is 6x fewer, and a human still signs off. An erroneous order costs about $250 to unwind.
FAQ
It depends on your account mix. A portal suits accounts that will log in and reorder. EDI suits the large partners who mandate it. Intake automation covers the rest, the accounts that send a document and will not change how they buy.
Because they ask the buyer to change habit for the seller's benefit. Long tail accounts already have a system that produces a PO, and emailing it costs them nothing. A portal adds a login to their day and takes something away from it.
Yes, and most merchants should. Accounts that adopt the portal use it, and the orders that arrive as documents anyway stop landing on someone's desk. The two cover different halves of the same account list.
Yes. Each line is matched to your catalog and priced against the company and price list that account is attached to, so contract pricing is a system rule rather than something a person has to remember.
They still become a Shopify draft order, with the source file attached and the uncertain lines visible. Nothing is finalised without a person, so an unclear order costs a review rather than a credit note.
Up to 100 orders a month, from a free tier covering your first five orders to Growth at $250 a month. Above 100 a month we quote rather than publish a price.
Book a short demo. Bring a real purchase order and we will run it live, so you judge the match and the pricing on your own data.
