Make vs Zapier for Distributors: B2B Orders and Terms

A buyer's purchase order that falls under a product's minimum order quantity, or mixes case-pack and each-unit quantities incorrectly, needs to be caught and flagged before it's confirmed, not after your warehouse has already started picking it. A validation step that checks each line item against its product's specific MOQ and pack size rules before confirmation catches this early.

Make's ability to check multiple line items against their individual product rules within a single scenario run handles a multi-product PO more cleanly than Zapier, which would typically need a looping structure to check each line item separately, adding both setup complexity and task consumption for a large order.

A purchase order check before confirmation covers these points:

• Compare each line item to its own product's minimum order quantity before the order is confirmed.
• Check case-pack against each-unit quantities, since mixing them incorrectly is a common error.
• Run the checks across every line of a multi-product order together, rather than accepting the order on its total.
• Send any failing order to a person for a quick call to the buyer instead of silently accepting or rejecting it.

Wholesale pricing is rarely one price list, larger or longstanding accounts often negotiate their own tier, and an order confirmation or invoice that applies the wrong tier is a fast way to damage an account relationship, in either direction. Pulling the buyer's specific negotiated tier before calculating order totals, rather than assuming a standard list price, needs the automation to check account-specific data at order time.

Either tool can do a single price lookup. Make's advantage shows up when pricing depends on more than one factor at once, account tier and order volume and product category, since that's a multi-condition calculation that's cleaner to express and audit in a Make scenario than in a chain of Zapier filter steps.

Net-30 or net-60 terms mean an invoice isn't paid at the point of sale, and tracking which invoices are approaching or past their due date across a large account base is a real operational task on its own. A scheduled check against outstanding invoices, escalating internally as a due date approaches and again once it's passed, keeps accounts receivable from quietly drifting.

Make's ability to escalate differently based on how overdue an invoice is, and to roll this up across your entire account base in one view, fits this better than a flat reminder that treats a newly-due invoice the same as one sitting sixty days past due.

B2B buyers, especially larger ones with their own procurement systems, expect their purchase order number to appear correctly on your order confirmation, packing slip and invoice, since that's how their accounts payable team reconciles what they've received against what they ordered. A dropped or mistyped PO number creates real friction on their end, sometimes delaying your own payment while their AP team sorts it out.

Build in a validation step that confirms the PO number is captured correctly at intake and carried through every downstream document without manual re-entry at each step, since manual re-entry is exactly where a transcription error tends to creep in.

Spot-check this periodically against a real account's document set rather than assuming it stays correct once it's built. A field mapping that worked fine when you tested it against one buyer's order format can quietly break when a new account's procurement system formats its PO numbers differently than the accounts you originally tested against.

Distribution businesses often carry inventory financed against a line of credit priced off the prime rate¹, and the carrying cost of that inventory is a real argument for automation that shortens the order-to-cash cycle: faster, more accurate order processing means invoices go out sooner and get paid sooner, which directly reduces how long inventory sits financed before it converts to cash.

Frame the case for investing in better order automation around that cycle time, not just processing convenience. A distributor that shaves even a few days off its average order-to-invoice time is meaningfully reducing its financing cost across a full year of volume.

Bring this framing into the conversation with whoever controls the automation budget, since order-processing tooling often competes for attention against sales or warehouse investments that feel more directly revenue-generating. A shorter order-to-cash cycle is a financing cost reduction as much as an operational efficiency gain, and it's worth presenting it that way when making the case.